Ventilation data regulation and control method and system based on construction and installation quality control

Abstract

The invention relates to the technical field of ventilation system construction quality control, and discloses a ventilation data regulation and control method and system based on construction installation quality control, and the system comprises a ventilation system equipment use evaluation module, a ventilation system equipment installation evaluation module, and a ventilation system operation index evaluation module. Actual operation limit index characteristic parameters of the ventilation system are accurately obtained through an industrial sensor, and data support is provided for scientific evaluation of actual operation index characteristics of the ventilation system. The design operation index characteristic parameters of the ventilation system and the actual operation limit index characteristic parameters of the ventilation system are accurately preset to perform comparative analysis on the operation index characteristic values of the ventilation system, and the operation index characteristic evaluation result of the ventilation system is accurately generated, so that the actual operation index of the ventilation system is efficiently detected. Standardized and intelligent operation of ventilation system construction and installation quality evaluation and regulation and control is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of ventilation system construction quality control, and in particular to a ventilation data control method and system based on construction and installation quality control. Background Art

[0002] The Chinese invention patent with announcement number CN104898622B discloses a cloud technology platform-based intelligent visualization monitoring system for concrete construction quality. The system obtains quality information parameters of each process of concrete construction production, transportation, and pouring through corresponding equipment, and wirelessly sends them to the real-time quality monitoring platform in the cloud server. After cloud storage, calculation, and display, the construction quality status of each process link is analyzed, and feedback adjustment plan information is transmitted to the relevant operators in a timely manner. The system uses cloud technology to enable construction quality status information to be accessed, queried, and uploaded by all parties involved in the project, realizing interactive sharing of construction quality information to improve efficient management and control of construction quality. However, the above concrete construction quality monitoring system cannot perform intelligent online evaluation of the parameters and spatial position status of equipment installation during concrete construction. Summary of the invention

[0003] 1. Technical issues to be solved

[0004] In order to solve the problem that the ventilation system installation quality assessment work relies on inspection personnel and cannot accurately realize the online intelligent assessment of the ventilation equipment usage product information, ventilation equipment installation status and ventilation system operation indicators of the ventilation system, the above-mentioned accurate detection of ventilation equipment usage product information, scientific detection of ventilation equipment installation status, efficient detection of ventilation system operation indicators, and the standardization and intelligent operation of ventilation system construction and installation quality assessment are achieved.

[0005] (II) Technical solution

[0006] The present invention is implemented by the following technical solution: a ventilation data control method based on construction and installation quality control, the method comprising the following steps:

[0007] S1. Collect characteristic image data of ventilation equipment products;

[0008] S2, performing product feature text information recognition processing on the ventilation equipment product feature image data to construct ventilation equipment product feature text data;

[0009] S3, performing ventilation equipment use product feature analysis based on the ventilation equipment product feature text data and ventilation system design ventilation equipment product feature text data, generating ventilation system ventilation equipment use product feature evaluation result data and outputting it;

[0010] S4. Collecting the real-scene installation three-dimensional model data of ventilation system and ventilation equipment;

[0011] S5, analyzing the installation status of ventilation equipment according to the three-dimensional model data of the ventilation system ventilation equipment real scene installation and the three-dimensional model data of the ventilation system ventilation equipment theoretical installation, generating and outputting the evaluation result data of the installation status of ventilation equipment of the ventilation system;

[0012] S6. Collect characteristic data of actual operation limit indicators of the ventilation system;

[0013] S7. Perform ventilation system operation index analysis based on the ventilation system actual operation limit index characteristic data and the ventilation system design operation index characteristic data, generate ventilation system operation index characteristic evaluation result data and output it.

[0014] Preferably, the steps of collecting characteristic image data of ventilation equipment products are as follows:

[0015] S11, collecting product feature image data of ventilation equipment installed in the ventilation system through a shooting lens and generating a ventilation equipment product feature image data set A=(a 1 ,…,a u ,…,a η ), u=1,2,3,…,eta; where a u represents the ventilation equipment product characteristic image data corresponding to the u-th ventilation equipment installed in the ventilation system, n represents the maximum number of ventilation equipment, and the ventilation equipment product characteristic image data represents the ventilation equipment product nameplate image data installed in the ventilation system.

[0016] The present invention uses a shooting lens to accurately collect characteristic image parameters of ventilation equipment products, thereby providing data support for subsequent scientific evaluation of ventilation equipment use product information.

[0017] Preferably, the steps of performing product feature text information recognition processing on the ventilation equipment product feature image data to construct the ventilation equipment product feature text data are as follows:

[0018] S21, calling the ventilation equipment product feature image data set A;

[0019] S22, using image-to-text software to convert the ventilation equipment product feature image data set A into the ventilation equipment product feature image data set A. 1 to a η The product feature image data is converted into product feature text data in an orderly manner and a ventilation equipment product feature text data set A'=(a' 1 ,…,a' u ,…,a' η ), where a' uRepresents ventilation equipment product feature image data a u The corresponding ventilation equipment product feature text data; the ventilation equipment product features include the name, specifications, model and manufacturer of the ventilation equipment, and the image-to-text software includes any one of the fast text recognition software and AI recognition king software.

[0020] The present invention uses image-to-text software to efficiently extract product feature text information from ventilation equipment product feature images online, thereby achieving the effect of accurately obtaining ventilation equipment product information used in ventilation system installation quality assessment.

[0021] Preferably, the steps of performing ventilation equipment use product feature analysis based on the ventilation equipment product feature text data and ventilation system design ventilation equipment product feature text data, generating ventilation system ventilation equipment use product feature evaluation result data and outputting it are as follows:

[0022] S31. Establish ventilation system design ventilation equipment product feature text data set B = (b 1 ,…,b v ,…,b ι ), v = 1, 2, 3, ..., ι; where b v represents the product feature text data of the ventilation equipment designed for the vth ventilation system, ι represents the maximum number of ventilation equipment designed for the ventilation system; the product feature text data of the ventilation equipment designed for the ventilation system represents the product feature text data of the ventilation equipment required to be used in the theoretical design stage of the ventilation system;

[0023] S32, using the BERT language model to transform the ventilation equipment product feature text data set A' into the ventilation equipment product feature text data set A'. u The ventilation system design ventilation equipment product feature text data set B is in the order of the ventilation equipment quantity and number. v Perform ventilation equipment product feature text keyword recognition, and generate ventilation system ventilation equipment product feature evaluation result data set B'=(b' 1 ,…,b' u ,…,b' η ), where b' u The ventilation system ventilation equipment usage product feature evaluation result data corresponding to the u-th ventilation equipment installed in the ventilation system;

[0024] when a' u With b vThe keyword recognition of the ventilation equipment product characteristics is successful, indicating that the product characteristics of the u-th ventilation equipment installed in the ventilation system meet the requirements of the ventilation equipment product characteristics used in the theoretical design stage of the ventilation system, and the ventilation system ventilation equipment product characteristics evaluation result data b' is output. u To meet the design requirements;

[0025] when a' u With b v The keyword of the ventilation equipment product feature text is not successfully identified, indicating that the product feature of the u-th ventilation equipment installed in the ventilation system does not meet the ventilation equipment product feature required in the theoretical design stage of the ventilation system. Then the ventilation system ventilation equipment product feature evaluation result data b' is output. u Because the design requirements are not met.

[0026] The present invention utilizes pre-stored ventilation system design ventilation equipment product feature text parameters combined with the BERT language model and ventilation equipment product feature text parameters to perform keyword recognition, and independently analyzes the ventilation system ventilation equipment use product feature evaluation results, so as to achieve the effect of accurately monitoring online whether the ventilation equipment product information used in the ventilation system meets the design specifications.

[0027] Preferably, the operation steps of collecting the real-scene installation three-dimensional model data of the ventilation system ventilation equipment are as follows:

[0028] S41, collecting the real-scene installation three-dimensional model data of the ventilation equipment in the ventilation system through a three-dimensional laser scanner and generating a real-scene installation three-dimensional model data set of the ventilation equipment in the ventilation system C = (c 1 ,…,c u ,…,c η ), where c u It represents the collected three-dimensional model data of the real-scene installation of the ventilation equipment of the ventilation system corresponding to the u-th ventilation equipment of the ventilation system, and the three-dimensional model data of the real-scene installation of the ventilation equipment of the ventilation system represents the three-dimensional assembly space model data of the ventilation equipment in the ventilation system under the real-scene installation state.

[0029] The present invention uses a three-dimensional laser scanner to scientifically establish the three-dimensional model parameters of the real-scene installation of the ventilation system and ventilation equipment, so as to provide data support for verifying the installation status of the ventilation system and ventilation equipment.

[0030] Preferably, the steps of performing ventilation equipment installation status analysis based on the ventilation system ventilation equipment real-scene installation three-dimensional model data and the ventilation system ventilation equipment theoretical installation three-dimensional model data, generating and outputting ventilation system ventilation equipment installation status assessment result data are as follows:

[0031] S51. Establish the theoretical installation 3D model data of ventilation system and ventilation equipment Cxitong , the ventilation system ventilation equipment theoretical installation three-dimensional model data represents the three-dimensional assembly space model data of each ventilation equipment design theoretical stage in the entire ventilation system;

[0032] S52, using a data recognition algorithm to identify the ventilation system ventilation equipment real scene installation three-dimensional model data set C of the ventilation system ventilation equipment real scene installation three-dimensional model data set C u The three-dimensional model data C of the ventilation equipment theoretical installation in the ventilation system is arranged in order according to the number of ventilation equipment. xitong Match the actual installation 3D model of ventilation equipment with the theoretical installation 3D model, and execute the actual installation 3D model data of ventilation system ventilation equipment u 3D model data of ventilation system ventilation equipment theory installation C xitong The specific steps for matching the actual installation 3D model of ventilation equipment with the theoretical installation 3D model are as follows:

[0033] S521, parameter initialization: 3D model identifies the bat population size N, maximum number of iterations T, objective function f(X), 3D model identifies the location of bat individual i W i , i = 1, 2, ..., N; and the speed O of the three-dimensional model to identify the bat individual i i , the three-dimensional model identifies the sound wave frequency of bat individual i The three-dimensional model identifies the sound wave loudness θ of bat individual i i and three-dimensional model to identify the sound frequency of bat individual i

[0034] S522, find the optimal three-dimensional model in the current population to identify the bat position W best , that is, the three-dimensional model identifies the bat population in the ventilation system ventilation equipment real scene installation three-dimensional model data set C search space ventilation system ventilation equipment real scene installation three-dimensional model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Matching is performed, and the calculation formula for updating the parameters of the three-dimensional model recognition bat is as follows:

[0035]

[0036] in represents the speed of the three-dimensional model identifying the bat individual i in the search space of the ventilation system ventilation equipment real-scene installation three-dimensional model data set C in the t+1th iteration, represents the speed of the three-dimensional model identifying the bat individual i in the search space of the ventilation system ventilation equipment real-scene installation three-dimensional model data set C in the t-th iteration, represents the position of the bat individual i identified by the three-dimensional model in the search space of the ventilation system ventilation equipment real-scene installation three-dimensional model data set C in the t+1th iteration, represents the position of the bat individual i identified by the 3D model in the search space of the ventilation system ventilation equipment real-scene installation 3D model data set C in the t-th iteration, W best It represents the optimal position of the three-dimensional model to identify the individual bat in the search space of the three-dimensional model data set C of the real scene installation of ventilation equipment in the ventilation system. represents the sound wave loudness of the three-dimensional model identifying the bat individual i in the search space of the three-dimensional model data set C of the ventilation equipment real scene installation of the ventilation system in the t+1th iteration, represents the sound wave loudness of the three-dimensional model identifying the bat individual i in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation in the t-th iteration, represents the frequency of sound waves in the search space of the three-dimensional model data set C of the real-scene installation of ventilation equipment in the ventilation system by the three-dimensional model in the t+1th iteration, represents the frequency of sound waves emitted by individual bat i in the search space of the three-dimensional model data set C of the real-scene installation of ventilation equipment in the ventilation system by the three-dimensional model recognition; exp represents a function with values ​​of (0, 1), ρ and σ are constants and 0<ρ<1, σ>0;

[0037] S523, generate a random number Θ 1 , Θ 1 Represents a random number with a value of [0, 1]. The three-dimensional model of the best position is selected from the search space of the three-dimensional model data set C of the real scene installation of the ventilation system ventilation equipment to identify the bat individual, that is, the three-dimensional model data set C of the real scene installation of the ventilation system ventilation equipment is selected in the search space of the three-dimensional model data set C of the real scene installation of the ventilation system ventilation equipment. u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Matching is performed and the optimal position of the three-dimensional model is selected to identify the individual bats through the formula exp→∞Generate ventilation system ventilation equipment real scene installation 3D model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Solve the matching results, where represents the frequency of sound waves of the three-dimensional model identifying the bat individual i in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation in the t-th iteration. When, according to the formula,

[0038] Update the 3D model to identify the bat’s location;

[0039] S524, generate a random number Θ 2 , Θ 2 represents a random number with a value of [0, 1]; when Θ 2 <θ i At this time, the ventilation system ventilation equipment real scene installation 3D model data c u Corresponding objective function f(X) and ventilation system ventilation equipment theoretical installation three-dimensional model data C xitong The fitness value is better than the new solution in step S523, then accept the position, according to the formula Adjust θ i and Where W new represents the position of the individual bat after the three-dimensional model is adjusted in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation, W old represents the position of the individual bat in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation before the three-dimensional model is recognized, θ t represents the sound wave loudness of the individual bat identified by the three-dimensional model in the search space of the three-dimensional model data set C of the real scene installation of ventilation equipment in the ventilation system in the t-th iteration, represents any number with a value of [-1, 1]; when Θ 2 ≥θ i When, according to the formula, Update the 3D model to identify the bat’s location;

[0040] S525, sorting the fitness values ​​of all individuals in the bat population identified by the three-dimensional model, that is, sorting the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation in the search space of the ventilation system ventilation equipment real scene installation three-dimensional model data set C u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Sort the fitness values ​​of the matching results and find the current best W best , that is, in the ventilation system ventilation equipment real scene installation three-dimensional model data set C search space, the ventilation system ventilation equipment real scene installation three-dimensional model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong The best results for matching;

[0041] S526, repeating steps S522 to S525; when the maximum number of iterations T is met, outputting the ventilation system ventilation equipment real scene installation three-dimensional model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data Cxitong The result of the matching;

[0042] S53, according to the ventilation system ventilation equipment real scene installation 3D model data c u 3D model data of ventilation system ventilation equipment theory installation C xitong The matching results construct a ventilation system ventilation equipment installation status assessment result data set C' = (c' 1 ,…,c' u ,…,c' η ), where c' u represents the ventilation system ventilation equipment installation status assessment result data corresponding to the u-th ventilation equipment installed in the ventilation system;

[0043] When c u With C xitong The actual installation 3D model of the ventilation equipment is successfully matched with the theoretical installation 3D model, indicating that the actual installation status of the u-th ventilation equipment installed in the ventilation system meets the installation status required in the theoretical design stage, and the ventilation system ventilation equipment installation status assessment result data c′ is output. u To meet installation requirements;

[0044] When c u With C xitong The actual installation 3D model of the ventilation equipment is not matched with the theoretical installation 3D model, indicating that the actual installation status of the u-th ventilation equipment installed in the ventilation system does not meet the installation status required in the theoretical design stage. Then the ventilation system ventilation equipment installation status assessment result data c′ is output. u The installation requirements are not met.

[0045] The present invention performs three-dimensional model matching based on preset theoretical installation three-dimensional model parameters of ventilation system and ventilation equipment combined with bat optimization search algorithm and real-scene installation three-dimensional model parameters of ventilation system and ventilation equipment, and intelligently detects the installation status evaluation results of ventilation system and ventilation equipment, so as to achieve the effect of scientifically monitoring whether the installation status of ventilation equipment meets the theoretical design requirements.

[0046] Preferably, the operation steps of collecting the characteristic data of the actual operation limit index of the ventilation system are as follows:

[0047] S61, collect the limit state characteristic numerical data of specific indicators in the actual operation of the ventilation system through industrial sensors online and generate the actual operation limit indicator characteristic data set D of the ventilation system = (d 1 ,…,d p ,…,d κ ), p = 1, 2, 3, ..., κ; where d prepresents the actual operation limit index characteristic data of the ventilation system corresponding to the pth ventilation system operation index characteristic collected, κ represents the maximum number of ventilation system operation index characteristic types, the ventilation system operation index characteristics include the ventilation volume index characteristics, the supply air speed index characteristics and the exhaust air volume index characteristics of the ventilation system operation, and the industrial sensors include gas flow rate sensors and gas flow sensors.

[0048] The present invention adopts industrial sensors to accurately obtain characteristic parameters of actual operation limit indicators of the ventilation system, so as to provide data support for scientifically evaluating the actual operation indicator characteristics of the ventilation system.

[0049] Preferably, the steps of performing ventilation system operation index analysis based on the ventilation system actual operation limit index characteristic data and the ventilation system design operation index characteristic data, generating and outputting ventilation system operation index characteristic evaluation result data are as follows:

[0050] S71. Establishing the characteristic data set of ventilation system design and operation index D'=(d' 1 ,…,d' p ,…,d' κ ), where d' p Indicates the actual operating limit index characteristic data of the ventilation system d p Corresponding ventilation system design operation index characteristic data; the ventilation system design operation index characteristic data represents the operation index characteristic data specified in the ventilation system theoretical design stage;

[0051] S72, the ventilation system actual operation limit index characteristic data set D of the ventilation system actual operation limit index characteristic data set D p The ventilation system design operation index characteristic data set D' is ordered according to the ventilation system operation index characteristic number and the ventilation system design operation index characteristic data set D' p Perform a numerical comparison and analysis of the characteristic values ​​of the ventilation system operation indicators, and generate a ventilation system operation indicator characteristic evaluation result data set E = (e 1 ,…,e p ,…,e κ ), where e p represents the ventilation system operation index characteristic evaluation result data corresponding to the p-th ventilation system operation index characteristic;

[0052] When p ≥d' p , represents the ventilation system actual operation limit index characteristic data d corresponding to the p-th ventilation system operation index characteristic p Greater than or equal to the ventilation system design operation index characteristic data d' p, then the ventilation system operation index characteristic evaluation result data e is output p To meet the design requirements;

[0053] When p <d' p , represents the ventilation system actual operation limit index characteristic data d corresponding to the p-th ventilation system operation index characteristic p Less than the ventilation system design operation index characteristic data d' p , then the ventilation system operation index characteristic evaluation result data e is output p Because the design requirements are not met.

[0054] The present invention compares and analyzes the characteristic numerical values ​​of ventilation system operation indicators by accurately presetting the characteristic parameters of the ventilation system design operation indicators and the characteristic parameters of the ventilation system actual operation limit indicators, so as to accurately generate the evaluation results of the ventilation system operation indicator characteristics, thereby achieving the effect of efficiently detecting the actual operation indicators of the ventilation system.

[0055] Preferably, the steps for performing the ventilation system construction and installation quality control operation are as follows:

[0056] S81, using product feature evaluation result data b' according to the ventilation system ventilation equipment u , the ventilation system ventilation equipment installation status assessment result data c′ u and the ventilation system operation index characteristic evaluation result data e p Respectively perform ventilation equipment use product control operations, ventilation equipment installation status control operations, and ventilation system operation status control operations in the ventilation system;

[0057] S811, when the ventilation system ventilation equipment uses product feature evaluation result data b' u If the design requirements are not met, the ventilation equipment product feature text data a' u Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform product specification inspection and control operations on ventilation equipment in the ventilation system;

[0058] When the ventilation system ventilation equipment uses the product feature evaluation result data b' u To meet the design requirements, the next step is to control the installation status of the ventilation equipment in the ventilation system;

[0059] S812, when the ventilation system ventilation equipment installation status evaluation result data c′ u When the installation requirements are not met, the ventilation system ventilation equipment real scene installation three-dimensional model data c u and the ventilation system ventilation equipment theoretical installation three-dimensional model data C xitongPush to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform ventilation equipment installation status inspection and control operations in the ventilation system;

[0060] When the ventilation system ventilation equipment installation status evaluation result data c′ u To meet the installation requirements, perform the next step of ventilation system operation status control operation;

[0061] S813, when the ventilation system operation index characteristic evaluation result data e p When the design requirements are not met, the actual operation limit index characteristic data d of the ventilation system is p and the ventilation system design and operation index characteristic data d' p Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform ventilation system operation status inspection and control operations;

[0062] When the ventilation system operation index characteristic evaluation result data e p To meet the design requirements, complete the ventilation system construction quality control work.

[0063] A ventilation data control system based on construction and installation quality control is used to implement the ventilation data control method based on construction and installation quality control, the system includes a ventilation system equipment use evaluation module, a ventilation system equipment installation evaluation module, a ventilation system operation index evaluation module, and a ventilation system construction quality control execution module;

[0064] The ventilation system equipment use evaluation module includes a ventilation equipment product feature image acquisition unit, a ventilation equipment product feature text generation unit, a ventilation system design ventilation equipment product feature text storage unit, a ventilation system ventilation equipment use product feature analysis unit, and a ventilation system ventilation equipment use product feature evaluation result output unit;

[0065] The ventilation equipment product feature image acquisition unit acquires ventilation equipment product feature image data through a shooting lens; the ventilation equipment product feature text generation unit uses image-to-text software to perform product feature text information recognition processing on the ventilation equipment product feature image data to construct ventilation equipment product feature text data; the ventilation system design ventilation equipment product feature text storage unit is used to store ventilation system design ventilation equipment product feature text data; the ventilation system ventilation equipment use product feature analysis unit performs ventilation equipment use product feature analysis based on the ventilation equipment product feature text data and the ventilation system design ventilation equipment product feature text data to generate ventilation system ventilation equipment use product feature evaluation result data; the ventilation system ventilation equipment use product feature evaluation result output unit is used to output ventilation system ventilation equipment use product feature evaluation result data;

[0066] The ventilation system equipment installation assessment module includes a ventilation system ventilation equipment real-scene installation three-dimensional model acquisition unit, a ventilation system ventilation equipment theoretical installation three-dimensional model storage unit, a ventilation system ventilation equipment installation status analysis unit, and a ventilation system ventilation equipment installation status assessment result output unit;

[0067] The ventilation system ventilation equipment real-scene installation three-dimensional model acquisition unit is used to acquire the ventilation system ventilation equipment real-scene installation three-dimensional model data through a three-dimensional laser scanner; the ventilation system ventilation equipment theoretical installation three-dimensional model storage unit is used to store the ventilation system ventilation equipment theoretical installation three-dimensional model data; the ventilation system ventilation equipment installation status analysis unit is used to analyze the ventilation equipment installation status according to the ventilation system ventilation equipment real-scene installation three-dimensional model data and the ventilation system ventilation equipment theoretical installation three-dimensional model data, and generate the ventilation system ventilation equipment installation status evaluation result data; the ventilation system ventilation equipment installation status evaluation result output unit is used to output the ventilation system ventilation equipment installation status evaluation result data;

[0068] The ventilation system operation index evaluation module includes a ventilation system actual operation index feature acquisition unit, a ventilation system design operation index feature storage unit, a ventilation system operation index analysis unit, and a ventilation system operation index analysis result output unit;

[0069] The present invention accurately performs ventilation system construction quality control operations by using product characteristic evaluation parameters, installation status evaluation parameters and ventilation system operation index characteristic evaluation parameters of the ventilation equipment of the ventilation system, thereby achieving the effect of standardized and intelligent operation of ventilation system construction and installation quality evaluation and control.

[0070] The ventilation system actual operation index characteristic acquisition unit is used to collect the ventilation system actual operation limit index characteristic data through industrial sensors; the ventilation system design operation index characteristic storage unit is used to store the ventilation system design operation index characteristic data; the ventilation system operation index analysis unit is used to analyze the ventilation system operation index based on the ventilation system actual operation limit index characteristic data and the ventilation system design operation index characteristic data, and generate ventilation system operation index characteristic evaluation result data; the ventilation system operation index analysis result output unit is used to output the ventilation system operation index characteristic evaluation result data;

[0071] The ventilation system construction quality control execution module is used to execute the ventilation system construction and installation quality control operations.

[0072] (III) Beneficial effects

[0073] The present invention provides a ventilation data control method and system based on construction and installation quality control, which has the following beneficial effects:

[0074] 1. Accurately collect the product characteristic image parameters of ventilation equipment through the shooting lens to provide data support for the subsequent scientific evaluation of the product information of ventilation equipment; use the image-to-text software to efficiently extract the product characteristic text information in the product characteristic image of ventilation equipment online, so as to accurately obtain the product information of ventilation equipment used in the ventilation system installation quality evaluation; use the pre-stored ventilation system design ventilation equipment product characteristic text parameters combined with the intelligent search algorithm and the ventilation equipment product characteristic text parameters for keyword recognition, and independently analyze the evaluation results of the product characteristics of ventilation equipment used in the ventilation system, so as to realize accurate online monitoring of whether the product information of ventilation equipment used in the ventilation system meets the design specifications, thereby improving the efficiency and quality of ventilation system ventilation equipment use regulation.

[0075] 2. Scientifically establish the three-dimensional model parameters of the real-scene installation of the ventilation system and ventilation equipment through the three-dimensional laser scanner to provide data support for verifying the installation status of the ventilation system and ventilation equipment; perform three-dimensional model matching based on the preset theoretical installation three-dimensional model parameters of the ventilation system and ventilation equipment combined with the intelligent recognition algorithm and the real-scene installation three-dimensional model parameters of the ventilation system and ventilation equipment, and intelligently detect the evaluation results of the installation status of the ventilation system and ventilation equipment, so as to realize scientific monitoring of whether the installation status of the ventilation equipment meets the theoretical design requirements, and improve the reliability and efficiency of online regulation of the installation status of the ventilation system and ventilation equipment.

[0076] 3. Accurately obtain the characteristic parameters of the actual operating limit indicators of the ventilation system through industrial sensors, and provide data support for the scientific evaluation of the actual operating indicator characteristics of the ventilation system; accurately preset the characteristic parameters of the ventilation system design operating indicators and the characteristic parameters of the ventilation system actual operating limit indicators to conduct numerical comparison and analysis of the ventilation system operating indicator characteristics, and accurately generate the evaluation results of the ventilation system operating indicator characteristics; accurately perform the ventilation system construction quality control operations based on the ventilation equipment use product characteristic evaluation parameters, installation status evaluation parameters and ventilation system operating indicator characteristic evaluation parameters of the ventilation system, so as to achieve efficient detection of the actual operating indicators of the ventilation system, and realize the standardization and intelligent operation of the ventilation system construction and installation quality evaluation and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0077] Figure 1 A schematic diagram of a module of a ventilation data control system based on construction and installation quality control provided by the present invention;

[0078] Figure 2 A flow chart of the ventilation data control method based on construction and installation quality control provided by the present invention. DETAILED DESCRIPTION

[0079] 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.

[0080] The embodiments of the ventilation data control method and system based on construction and installation quality control are as follows:

[0081] Embodiment 1:

[0082] See also Figure 1 - Figure 2 , a ventilation data control method based on construction and installation quality control, the method comprises the following steps:

[0083] S1. Collect characteristic image data of ventilation equipment products;

[0084] S2, performing product feature text information recognition processing on the ventilation equipment product feature image data to construct ventilation equipment product feature text data;

[0085] S3, analyzing the product characteristics of ventilation equipment based on the ventilation equipment product characteristics text data and the ventilation system design ventilation equipment product characteristics text data, generating and outputting the ventilation system ventilation equipment product characteristics evaluation result data;

[0086] S4. Collecting the real-scene installation three-dimensional model data of ventilation system and ventilation equipment;

[0087] S5, analyzing the installation status of ventilation equipment according to the three-dimensional model data of the actual installation of ventilation equipment in the ventilation system and the three-dimensional model data of the theoretical installation of ventilation equipment in the ventilation system, generating and outputting the evaluation result data of the installation status of ventilation equipment in the ventilation system;

[0088] S6. Collect characteristic data of actual operation limit indicators of the ventilation system;

[0089] S7. Perform ventilation system operation index analysis based on the ventilation system actual operation limit index characteristic data and the ventilation system design operation index characteristic data, generate ventilation system operation index characteristic evaluation result data and output it.

[0090] For further information, see Figure 1 - Figure 2 ,The steps for collecting characteristic image data of ventilation equipment products are as follows:

[0091] S11, collecting product feature image data of ventilation equipment installed in the ventilation system through a shooting lens and generating a ventilation equipment product feature image data set A=(a 1,…,a u ,…,a η ), u=1,2,3,…,eta; where a u represents the ventilation equipment product characteristic image data corresponding to the u-th ventilation equipment installed in the ventilation system, η represents the maximum number of ventilation equipment, and the ventilation equipment product characteristic image data represents the nameplate image data of the ventilation equipment product installed in the ventilation system.

[0092] The steps for performing product feature text information recognition processing on the ventilation equipment product feature image data and constructing the ventilation equipment product feature text data are as follows:

[0093] S21, calling ventilation equipment product feature image data set A;

[0094] S22, using image-to-text software to convert the ventilation equipment product feature image data set A into the ventilation equipment product feature image data a 1 to a η The product feature image data is converted into product feature text data in an orderly manner and a ventilation equipment product feature text data set A'=(a' 1 ,…,a' u ,…,a' η ), where a' u Represents ventilation equipment product feature image data a u The corresponding ventilation equipment product feature text data; the ventilation equipment product features include the name, specifications, model and manufacturer of the ventilation equipment, and the image-to-text software includes either the fast text recognition software or the AI ​​recognition king software.

[0095] The steps for analyzing the product characteristics of ventilation equipment based on the ventilation equipment product characteristics text data and the ventilation system design ventilation equipment product characteristics text data, generating and outputting the ventilation system ventilation equipment product characteristics evaluation result data are as follows:

[0096] S31. Establish ventilation system design ventilation equipment product feature text data set B = (b 1 ,…,b v ,…,b ι ), v = 1, 2, 3, ..., ι; where b v represents the product characteristic text data of the ventilation equipment designed for the vth ventilation system, ι represents the maximum number of ventilation equipment designed for the ventilation system; the product characteristic text data of the ventilation equipment designed for the ventilation system represents the product characteristic text data of the ventilation equipment required to be used in the theoretical design stage of the ventilation system;

[0097] S32, using the BERT language model to transform the ventilation equipment product feature text data set A' into the ventilation equipment product feature text data set A'.u The ventilation equipment is numbered and ordered according to the number of ventilation equipment and the ventilation system design ventilation equipment product feature text data set B. The ventilation system design ventilation equipment product feature text data b v Perform ventilation equipment product feature text keyword recognition, and generate ventilation system ventilation equipment product feature evaluation result data set B'=(b' 1 ,…,b' u ,…,b' η ), where b' u The ventilation system ventilation equipment usage product feature evaluation result data corresponding to the u-th ventilation equipment installed in the ventilation system;

[0098] when a' u With b v The keyword recognition of the ventilation equipment product characteristics is successful, indicating that the product characteristics of the u-th ventilation equipment installed in the ventilation system meet the requirements of the ventilation equipment product characteristics used in the theoretical design stage of the ventilation system, and the ventilation system ventilation equipment product characteristics evaluation result data b' is output. u To meet the design requirements;

[0099] when a' u With b v The keyword of the ventilation equipment product feature text is not successfully identified, indicating that the product feature of the u-th ventilation equipment installed in the ventilation system does not meet the ventilation equipment product feature required in the theoretical design stage of the ventilation system. Then the ventilation system ventilation equipment product feature evaluation result data b' is output. u Because the design requirements are not met.

[0100] Through the ventilation equipment product feature image acquisition unit, a camera lens is used to accurately collect ventilation equipment product feature image parameters, providing data support for subsequent scientific evaluation of ventilation equipment product information; the ventilation equipment product feature text generation unit uses image-to-text software to efficiently extract product feature text information from ventilation equipment product feature images online, so as to achieve accurate acquisition of ventilation equipment product information in ventilation system installation quality evaluation; the ventilation system design ventilation equipment product feature text storage unit and the ventilation system ventilation equipment use product feature analysis unit cooperate with each other, use the pre-stored ventilation system design ventilation equipment product feature text parameters combined with intelligent search algorithm and ventilation equipment product feature text parameters to perform keyword recognition, and independently analyze the ventilation system ventilation equipment use product feature evaluation results, so as to achieve accurate online monitoring of whether the ventilation equipment product information used in the ventilation system meets the design specifications, thereby improving the efficiency and quality of ventilation system ventilation equipment use regulation.

[0101] For further information, see Figure 1 - Figure 2 The steps for collecting the real-scene installation 3D model data of ventilation system ventilation equipment are as follows:

[0102] S41, collecting the real-scene installation three-dimensional model data of the ventilation equipment in the ventilation system through a three-dimensional laser scanner and generating a real-scene installation three-dimensional model data set of the ventilation equipment in the ventilation system C = (c 1 ,…,c u ,…,c η ), where c u It represents the collected three-dimensional model data of the real-scene installation of the ventilation equipment of the ventilation system corresponding to the u-th ventilation equipment of the ventilation system, and the three-dimensional model data of the real-scene installation of the ventilation equipment of the ventilation system represents the three-dimensional assembly space model data of the ventilation equipment in the ventilation system under the real-scene installation state.

[0103] The steps for analyzing the installation status of ventilation equipment according to the real-scene installation 3D model data of ventilation system ventilation equipment and the theoretical installation 3D model data of ventilation system ventilation equipment, generating and outputting the installation status evaluation result data of ventilation system ventilation equipment are as follows:

[0104] S51. Establish the theoretical installation 3D model data of ventilation system and ventilation equipment C xitong , the theoretical installation three-dimensional model data of ventilation equipment in the ventilation system represents the three-dimensional assembly space model data of the theoretical design stage of each ventilation equipment in the whole ventilation system;

[0105] S52, using a data recognition algorithm to identify the ventilation system ventilation equipment real scene installation three-dimensional model data set C of the ventilation system ventilation equipment real scene installation three-dimensional model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Match the actual installation 3D model of ventilation equipment with the theoretical installation 3D model, and execute the actual installation 3D model data of ventilation system ventilation equipment u 3D model data of ventilation system ventilation equipment theory installation C xitong The specific steps for matching the actual installation 3D model of ventilation equipment with the theoretical installation 3D model are as follows:

[0106] S521, parameter initialization: 3D model identifies the bat population size N, maximum number of iterations T, objective function f(X), 3D model identifies the location of bat individual i W i , i = 1, 2, ..., N; and the speed O of the three-dimensional model to identify the bat individual i i , the three-dimensional model identifies the sound wave frequency of bat individual i The three-dimensional model identifies the sound wave loudness θ of bat individual i i and three-dimensional model to identify the sound frequency of bat individual i

[0107] S522, find the optimal three-dimensional model in the current population to identify the bat position W best , that is, the three-dimensional model identifies the bat population in the ventilation system ventilation equipment real scene installation three-dimensional model data set C search space ventilation system ventilation equipment real scene installation three-dimensional model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Matching is performed, and the calculation formula for updating the parameters of the three-dimensional model recognition bat is as follows:

[0108]

[0109] in represents the speed of the three-dimensional model identifying the bat individual i in the search space of the ventilation system ventilation equipment real-scene installation three-dimensional model data set C in the t+1th iteration, represents the speed of the three-dimensional model identifying the bat individual i in the search space of the ventilation system ventilation equipment real-scene installation three-dimensional model data set C in the t-th iteration, represents the position of the bat individual i identified by the three-dimensional model in the search space of the ventilation system ventilation equipment real-scene installation three-dimensional model data set C in the t+1th iteration, represents the position of the bat individual i identified by the 3D model in the search space of the ventilation system ventilation equipment real-scene installation 3D model data set C in the t-th iteration, W best It represents the optimal position of the three-dimensional model to identify the individual bat in the search space of the three-dimensional model data set C of the real scene installation of ventilation equipment in the ventilation system. represents the sound wave loudness of the three-dimensional model identifying the bat individual i in the search space of the three-dimensional model data set C of the ventilation equipment real scene installation of the ventilation system in the t+1th iteration, represents the sound wave loudness of the three-dimensional model identifying the bat individual i in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation in the t-th iteration, represents the frequency of sound waves in the search space of the three-dimensional model data set C of the real-scene installation of ventilation equipment in the ventilation system by the three-dimensional model in the t+1th iteration, represents the frequency of sound waves emitted by individual bat i in the search space of the three-dimensional model data set C of the real-scene installation of ventilation equipment in the ventilation system by the three-dimensional model recognition; exp represents a function with values ​​of (0, 1), ρ and σ are constants and 0<ρ<1, σ>0;

[0110] S523, generate a random number Θ 1 , Θ 1 Represents a random number with a value of [0, 1]. The three-dimensional model of the best position is selected from the search space of the three-dimensional model data set C of the real scene installation of the ventilation system ventilation equipment to identify the bat individual, that is, the three-dimensional model data set C of the real scene installation of the ventilation system ventilation equipment is selected in the search space of the three-dimensional model data set C of the real scene installation of the ventilation system ventilation equipment. u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Matching is performed and the optimal position of the three-dimensional model is selected to identify the individual bats through the formula exp→∞Generate ventilation system ventilation equipment real scene installation 3D model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Solve the matching results, where represents the frequency of sound waves of the three-dimensional model identifying the bat individual i in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation in the t-th iteration. When, according to the formula,

[0111] Update the 3D model to identify the bat’s location;

[0112] S524, generate a random number Θ 2 , Θ 2 represents a random number with a value of [0, 1]; when Θ 2 <θ i At this time, the ventilation system ventilation equipment real scene installation 3D model data c u Corresponding objective function f(X) and ventilation system ventilation equipment theoretical installation three-dimensional model data C xitong The fitness value is better than the new solution in step S523, then accept the position, according to the formula Adjust θ i and Where W new represents the position of the individual bat after the three-dimensional model is adjusted in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation, W old represents the position of the individual bat in the search space of the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation before the three-dimensional model is recognized, θ t represents the sound wave loudness of the individual bat identified by the three-dimensional model in the search space of the three-dimensional model data set C of the real scene installation of ventilation equipment in the ventilation system in the t-th iteration, represents any number with a value of [-1, 1]; when Θ 2 ≥θ i When, according to the formula, Update the 3D model to identify the bat’s location;

[0113] S525, sorting the fitness values ​​of all individuals in the bat population identified by the three-dimensional model, that is, sorting the three-dimensional model data set C of the ventilation system ventilation equipment real scene installation in the search space of the ventilation system ventilation equipment real scene installation three-dimensional model data set C u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong Sort the fitness values ​​of the matching results and find the current best W best , that is, in the ventilation system ventilation equipment real scene installation three-dimensional model data set C search space, the ventilation system ventilation equipment real scene installation three-dimensional model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong The best results for matching;

[0114] S526, repeating steps S522 to S525; when the maximum number of iterations T is met, outputting the ventilation system ventilation equipment real scene installation three-dimensional model data c u According to the number of ventilation equipment, the ventilation equipment is numbered and arranged in order with the ventilation system ventilation equipment theory installation 3D model data C xitong The result of the matching;

[0115] S53, according to the ventilation system ventilation equipment real scene installation 3D model data c u 3D model data of ventilation system ventilation equipment theory installation C xitong The matching results construct a ventilation system ventilation equipment installation status assessment result data set C' = (c' 1 ,…,c' u ,…,c' η ), where c' u represents the ventilation system ventilation equipment installation status assessment result data corresponding to the u-th ventilation equipment installed in the ventilation system;

[0116] When c u With C xitong The actual installation 3D model of the ventilation equipment is successfully matched with the theoretical installation 3D model, indicating that the actual installation status of the u-th ventilation equipment installed in the ventilation system meets the installation status required in the theoretical design stage, and the ventilation system ventilation equipment installation status assessment result data c′ is output. u To meet installation requirements;

[0117] When c u With C xitongThe actual installation 3D model of the ventilation equipment is not matched with the theoretical installation 3D model, indicating that the actual installation status of the u-th ventilation equipment installed in the ventilation system does not meet the installation status required in the theoretical design stage. Then the ventilation system ventilation equipment installation status assessment result data c′ is output. u The installation requirements are not met.

[0118] Through the ventilation system ventilation equipment real-scene installation 3D model acquisition unit, a 3D laser scanner is used to scientifically establish the ventilation system ventilation equipment real-scene installation 3D model parameters, providing data support for verifying the installation status of the ventilation system ventilation equipment; the ventilation system ventilation equipment theoretical installation 3D model storage unit and the ventilation system ventilation equipment installation status analysis unit cooperate with each other, based on the preset ventilation system ventilation equipment theoretical installation 3D model parameters combined with the intelligent recognition algorithm and the ventilation system ventilation equipment real-scene installation 3D model parameters to perform 3D model matching, and intelligently detect the ventilation system ventilation equipment installation status evaluation results, thereby realizing scientific monitoring of whether the ventilation equipment installation status meets the theoretical design requirements, and improving the reliability and efficiency of online control of the ventilation system ventilation equipment installation status.

[0119] For further information, see Figure 1 - Figure 2 ,The operating steps for collecting the characteristic data of the actual operating limit index of the ventilation system are as follows:

[0120] S61, collect the limit state characteristic numerical data of specific indicators in the actual operation of the ventilation system through industrial sensors online and generate the actual operation limit indicator characteristic data set D of the ventilation system = (d 1 ,…,d p ,…,d κ ), p = 1, 2, 3, ..., κ; where d p represents the actual operation limit index characteristic data of the ventilation system corresponding to the pth ventilation system operation index characteristic collected, κ represents the maximum number of ventilation system operation index characteristic types, the ventilation system operation index characteristics include the ventilation volume index characteristics, supply air speed index characteristics and exhaust air volume index characteristics of the ventilation system operation, and the industrial sensors include gas flow velocity sensors and gas flow sensors.

[0121] The steps for analyzing the ventilation system operation index based on the ventilation system actual operation limit index characteristic data and the ventilation system design operation index characteristic data, generating and outputting the ventilation system operation index characteristic evaluation result data are as follows:

[0122] S71. Establishing the characteristic data set of ventilation system design and operation index D'=(d' 1 ,…,d' p ,…,d' κ ), where d' pIndicates the actual operating limit index characteristic data of the ventilation system d p Corresponding ventilation system design operation index characteristic data; the ventilation system design operation index characteristic data represents the operation index characteristic data specified in the ventilation system theoretical design stage;

[0123] S72, the ventilation system actual operation limit index characteristic data set D of the ventilation system actual operation limit index characteristic data d p The ventilation system design operation index characteristic data set D' is sorted according to the ventilation system operation index characteristic number and the ventilation system design operation index characteristic data set D' p Perform a numerical comparison and analysis of the characteristic values ​​of the ventilation system operation indicators, and generate a ventilation system operation indicator characteristic evaluation result data set E = (e 1 ,…,e p ,…,e κ ), where e p represents the ventilation system operation index characteristic evaluation result data corresponding to the p-th ventilation system operation index characteristic;

[0124] When p ≥d' p , represents the ventilation system actual operation limit index characteristic data d corresponding to the p-th ventilation system operation index characteristic p Greater than or equal to the ventilation system design operation index characteristic data d' p , then the ventilation system operation index characteristic evaluation result data e is output p To meet the design requirements;

[0125] When p <d' p , represents the ventilation system actual operation limit index characteristic data d corresponding to the p-th ventilation system operation index characteristic p Less than the ventilation system design operation index characteristic data d' p , then the ventilation system operation index characteristic evaluation result data e is output p Because the design requirements are not met.

[0126] The steps for performing quality control work for ventilation system construction and installation are as follows:

[0127] S81, based on the ventilation system ventilation equipment use product characteristics assessment result data b' u , Ventilation system ventilation equipment installation status assessment result data c′ u and ventilation system operation index characteristic evaluation result datae p Respectively perform ventilation equipment use product control operations, ventilation equipment installation status control operations, and ventilation system operation status control operations in the ventilation system;

[0128] S811, when the ventilation system ventilation equipment uses product characteristic evaluation result data b' u If the design requirements are not met, the ventilation equipment product feature text data a' u Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform product specification inspection and control operations on ventilation equipment in the ventilation system;

[0129] When ventilation system ventilation equipment uses product characteristic assessment result data b' u To meet the design requirements, the next step is to control the installation status of the ventilation equipment in the ventilation system;

[0130] S812, when the ventilation system ventilation equipment installation status assessment result data c′ u When the installation requirements are not met, the ventilation system ventilation equipment real scene installation 3D model data c u and ventilation system ventilation equipment theoretical installation 3D model data C xitong Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform ventilation equipment installation status inspection and control operations in the ventilation system;

[0131] When the ventilation system ventilation equipment installation status assessment result data c′ u To meet the installation requirements, perform the next step of ventilation system operation status control operation;

[0132] S813, when the ventilation system operation index characteristic evaluation result data e p When the design requirements are not met, the actual operating limit index characteristic data d of the ventilation system p and ventilation system design and operation index characteristic data d' p Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform ventilation system operation status inspection and control operations;

[0133] When the ventilation system operation index characteristic evaluation result data e p To meet the design requirements, complete the ventilation system construction quality control work.

[0134] Through the ventilation system actual operation index characteristic acquisition unit, industrial sensors are used to accurately obtain the ventilation system actual operation limit index characteristic parameters, providing data support for the scientific evaluation of the ventilation system actual operation index characteristics; the ventilation system design operation index characteristic storage unit and the ventilation system operation index analysis unit cooperate with each other to accurately preset the ventilation system design operation index characteristic parameters and the ventilation system actual operation limit index characteristic parameters for ventilation system operation index characteristic numerical comparison analysis, accurately generate ventilation system operation index characteristic evaluation results, thereby realizing efficient detection of the ventilation system actual operation index; the ventilation system construction quality control execution module accurately executes the ventilation system construction quality control operations according to the ventilation system ventilation equipment use product characteristic evaluation parameters, installation status evaluation parameters and ventilation system operation index characteristic evaluation parameters, realizing the standardization and intelligent operation of ventilation system construction and installation quality evaluation and control.

[0135] Embodiment 2:

[0136] A ventilation data control system based on construction and installation quality control is used to implement a ventilation data control method based on construction and installation quality control. The system includes a ventilation system equipment use evaluation module, a ventilation system equipment installation evaluation module, a ventilation system operation index evaluation module, and a ventilation system construction quality control execution module;

[0137] The ventilation system equipment use evaluation module includes a ventilation equipment product feature image acquisition unit, a ventilation equipment product feature text generation unit, a ventilation system design ventilation equipment product feature text storage unit, a ventilation system ventilation equipment use product feature analysis unit, and a ventilation system ventilation equipment use product feature evaluation result output unit;

[0138] A ventilation equipment product feature image acquisition unit is used to acquire ventilation equipment product feature image data through a shooting lens; a ventilation equipment product feature text generation unit is used to perform product feature text information recognition processing on ventilation equipment product feature image data using image-to-text software to construct ventilation equipment product feature text data; a ventilation system design ventilation equipment product feature text storage unit is used to store ventilation system design ventilation equipment product feature text data; a ventilation system ventilation equipment use product feature analysis unit is used to perform ventilation equipment use product feature analysis based on ventilation equipment product feature text data and ventilation system design ventilation equipment product feature text data to generate ventilation system ventilation equipment use product feature evaluation result data; a ventilation system ventilation equipment use product feature evaluation result output unit is used to output ventilation system ventilation equipment use product feature evaluation result data;

[0139] The ventilation system equipment installation assessment module includes a ventilation system ventilation equipment real-scene installation three-dimensional model acquisition unit, a ventilation system ventilation equipment theoretical installation three-dimensional model storage unit, a ventilation system ventilation equipment installation status analysis unit, and a ventilation system ventilation equipment installation status assessment result output unit;

[0140] A ventilation system ventilation equipment real-scene installation three-dimensional model acquisition unit, which acquires ventilation system ventilation equipment real-scene installation three-dimensional model data through a three-dimensional laser scanner; a ventilation system ventilation equipment theoretical installation three-dimensional model storage unit, which is used to store ventilation system ventilation equipment theoretical installation three-dimensional model data; a ventilation system ventilation equipment installation status analysis unit, which performs ventilation equipment installation status analysis based on ventilation system ventilation equipment real-scene installation three-dimensional model data and ventilation system ventilation equipment theoretical installation three-dimensional model data, and generates ventilation system ventilation equipment installation status evaluation result data; a ventilation system ventilation equipment installation status evaluation result output unit, which is used to output ventilation system ventilation equipment installation status evaluation result data;

[0141] The ventilation system operation index evaluation module includes a ventilation system actual operation index feature acquisition unit, a ventilation system design operation index feature storage unit, a ventilation system operation index analysis unit, and a ventilation system operation index analysis result output unit;

[0142] A ventilation system actual operation index characteristic acquisition unit, which collects the ventilation system actual operation limit index characteristic data through industrial sensors; a ventilation system design operation index characteristic storage unit, which is used to store the ventilation system design operation index characteristic data; a ventilation system operation index analysis unit, which performs ventilation system operation index analysis based on the ventilation system actual operation limit index characteristic data and the ventilation system design operation index characteristic data, and generates ventilation system operation index characteristic evaluation result data; a ventilation system operation index analysis result output unit, which is used to output the ventilation system operation index characteristic evaluation result data;

[0143] The ventilation system construction quality control execution module is used to execute the ventilation system construction and installation quality control operations.

[0144] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A ventilation data control method based on construction and installation quality control, characterized in that: The method comprises the following steps: S1. Collect characteristic image data of ventilation equipment products; S2, performing product feature text information recognition processing on the ventilation equipment product feature image data to construct ventilation equipment product feature text data; S3, performing ventilation equipment use product feature analysis based on the ventilation equipment product feature text data and ventilation system design ventilation equipment product feature text data, generating ventilation system ventilation equipment use product feature evaluation result data and outputting it; S4. Collecting the real-scene installation three-dimensional model data of ventilation system and ventilation equipment; S5, analyzing the installation status of ventilation equipment according to the three-dimensional model data of the ventilation system ventilation equipment real scene installation and the three-dimensional model data of the ventilation system ventilation equipment theoretical installation, generating and outputting the evaluation result data of the installation status of ventilation equipment of the ventilation system; S6. Collect characteristic data of actual operation limit indicators of the ventilation system; S7, performing ventilation system operation index analysis based on the ventilation system actual operation limit index characteristic data and the ventilation system design operation index characteristic data, generating and outputting ventilation system operation index characteristic evaluation result data; S8. Perform quality control work during the construction and installation of the ventilation system.

2. The ventilation data control method based on construction and installation quality control according to claim 1 is characterized in that: The S1 comprises the following steps: S11, collecting product feature image data of ventilation equipment installed in the ventilation system through a shooting lens and generating a ventilation equipment product feature image data set A = (a1, ..., a u ,…,a η ), u=1,2,3,…,eta; where a u It represents the collected ventilation equipment product characteristic image data corresponding to the u-th ventilation equipment installed in the ventilation system, and the ventilation equipment product characteristic image data represents the nameplate image data of the ventilation equipment product installed in the ventilation system.

3. The ventilation data control method based on construction and installation quality control according to claim 2 is characterized in that: The S2 comprises the following steps: S21, calling the ventilation equipment product feature image data set A; S22, using image-to-text software to convert the ventilation equipment product feature image data a1 to a1 in the ventilation equipment product feature image data set A. η The product feature image data is converted into product feature text data in an orderly manner and a ventilation equipment product feature text data set A'=(a'1,…,a' u ,…,a' η ), where a' u Represents ventilation equipment product feature image data a u Corresponding ventilation equipment product feature text data.

4. The ventilation data control method based on construction and installation quality control according to claim 3 is characterized in that: The S3 comprises the following steps: S31. Establish ventilation system design ventilation equipment product feature text data set B = (b1,…,b v ,…,b ι ), v = 1, 2, 3, ..., ι; where b v Indicates the product feature text data of the ventilation equipment for the vth ventilation system design; the product feature text data of the ventilation equipment for the ventilation system design indicates the product feature text data of the ventilation equipment required to be used in the theoretical design stage of the ventilation system; S32, the a' u Number the ventilation equipment in order of the number of b v Perform ventilation equipment product feature text keyword recognition, and generate ventilation system ventilation equipment product feature evaluation result data set B'=(b'1,...,b' u ,…,b' η ), where b' u The ventilation system ventilation equipment usage product feature evaluation result data corresponding to the u-th ventilation equipment installed in the ventilation system; when a' u With b v If the keyword recognition of ventilation equipment product feature text is successful, the ventilation system ventilation equipment product feature evaluation result data b' will be output. u To meet the design requirements; when a' u With b v If the keywords of the ventilation equipment product feature text are not successfully identified, the ventilation system ventilation equipment product feature evaluation result data b' is output u Because the design requirements are not met.

5. The ventilation data control method based on construction and installation quality control according to claim 4 is characterized in that: The S4 comprises the following steps: S41, collecting the real-scene installation three-dimensional model data of the ventilation equipment in the ventilation system through a three-dimensional laser scanner and generating a real-scene installation three-dimensional model data set of the ventilation equipment in the ventilation system C = (c1, ..., c u ,…,c η ), where c u It represents the collected three-dimensional model data of the real-scene installation of the ventilation equipment of the ventilation system corresponding to the u-th ventilation equipment of the ventilation system, and the three-dimensional model data of the real-scene installation of the ventilation equipment of the ventilation system represents the three-dimensional assembly space model data of the ventilation equipment in the ventilation system under the real-scene installation state.

6. The ventilation data control method based on construction and installation quality control according to claim 5 is characterized in that: The S5 comprises the following steps: S51. Establish the theoretical installation 3D model data of ventilation system and ventilation equipment C xitong , the ventilation system ventilation equipment theoretical installation three-dimensional model data represents the three-dimensional assembly space model data of each ventilation equipment design theoretical stage in the entire ventilation system; S52, the ventilation system ventilation equipment real scene installation three-dimensional model data c in the said set C u Number the ventilation equipment in order of the C xitong Match the actual installation 3D model of ventilation equipment with the theoretical installation 3D model, and execute the actual installation 3D model data of ventilation system ventilation equipment u With the C xitong The specific steps for matching the actual installation 3D model of ventilation equipment with the theoretical installation 3D model are as follows: S521, parameter initialization: 3D model identifies the bat population size N, maximum number of iterations T, objective function f(X), 3D model identifies the location of bat individual i W i , i = 1, 2, ..., N; and the speed O of the three-dimensional model to identify the bat individual i i , the three-dimensional model identifies the sound wave frequency of bat individual i The three-dimensional model identifies the sound wave loudness θ of bat individual i i and three-dimensional model to identify the sound frequency of bat individual i S522, find the optimal three-dimensional model in the current population to identify the bat position W best , that is, the three-dimensional model identifies the bat population and places the c u Number the ventilation equipment in order of the C xitong Make a match; S523, generate a random number Θ1, Θ1 represents a random number with a value of [0, 1], when The three-dimensional model of the best position is selected from the three-dimensional model data set C of the real scene installation of the ventilation system ventilation equipment to identify the bat individual, that is, the c u Number the ventilation equipment in order of the C xitong Make a match; S524, generate a random number θ2, θ2 represents a random number with a value of [0, 1]; when θ2<θ i , at this time the c u The corresponding objective function f(X) and the C xitong If the fitness value of is better than the new solution in step S523, then the position is accepted; S525, sorting the fitness values ​​of all individuals in the bat population identified by the three-dimensional model, and sorting the c u Number the ventilation equipment in order of the C xitong The best results for matching; S526, repeat steps S522 to S525; when the maximum number of iterations T is met, output the c u Number the ventilation equipment in order of the C xitong The result of the matching; S53, according to the c u With the C xitong The matching results construct a ventilation system ventilation equipment installation status assessment result data set C'=(c'1,…,c' u ,…,c' η ), where c' u represents the ventilation system ventilation equipment installation status assessment result data corresponding to the u-th ventilation equipment installed in the ventilation system; When c u With C xitong If the real-life installation 3D model of the ventilation equipment is matched successfully with the theoretical installation 3D model, the ventilation system ventilation equipment installation status evaluation result data c′ is output. u To meet installation requirements; When c u With C xitong If the real-scene installation 3D model of the ventilation equipment fails to match the theoretical installation 3D model, the ventilation system ventilation equipment installation status assessment result data c′ is output. u The installation requirements are not met.

7. The ventilation data control method based on construction and installation quality control according to claim 6 is characterized in that: The S6 comprises the following steps: S61, collect the limit state characteristic numerical data of specific indicators in the actual operation of the ventilation system online through industrial sensors and generate the actual operation limit indicator characteristic data set D of the ventilation system = (d1, ..., d p ,…,d κ ), p = 1, 2, 3, ..., κ; where d p It represents the actual operation limit index characteristic data of the ventilation system corresponding to the p-th ventilation system operation index characteristic collected.

8. The ventilation data control method based on construction and installation quality control according to claim 7 is characterized in that: The S7 comprises the following steps: S71. Establish the characteristic data set of ventilation system design and operation index D'=(d'1,…,d' p ,…,d' κ ), where d' p Indicates the actual operating limit index characteristic data of the ventilation system d p Corresponding ventilation system design operation index characteristic data; the ventilation system design operation index characteristic data represents the operation index characteristic data specified in the ventilation system theoretical design stage; S72, the D p According to the ventilation system operating index characteristic number order and said D'd' p Perform a numerical comparison and analysis of the characteristic values ​​of ventilation system operation indicators, and generate a ventilation system operation indicator characteristic evaluation result data set E = (e1,…,e p ,…,e κ ), where e p represents the ventilation system operation index characteristic evaluation result data corresponding to the p-th ventilation system operation index characteristic; When p ≥d' p , represents the ventilation system actual operation limit index characteristic data d corresponding to the p-th ventilation system operation index characteristic p Greater than or equal to the ventilation system design operation index characteristic data d' p , then the ventilation system operation index characteristic evaluation result data e is output p To meet the design requirements; When p <d' p , represents the ventilation system actual operation limit index characteristic data d corresponding to the p-th ventilation system operation index characteristic p Less than the ventilation system design operation index characteristic data d' p , then the ventilation system operation index characteristic evaluation result data e is output p Because the design requirements are not met.

9. The ventilation data control method based on construction and installation quality control according to claim 8 is characterized in that: The S8 comprises the following steps: S81, using product feature evaluation result data b' according to the ventilation system ventilation equipment u , the ventilation system ventilation equipment installation status assessment result data c′ u and the ventilation system operation index characteristic evaluation result data e p Respectively perform ventilation equipment use product control operations, ventilation equipment installation status control operations, and ventilation system operation status control operations in the ventilation system; S811, when the ventilation system ventilation equipment uses product feature evaluation result data b' u If the design requirements are not met, the ventilation equipment product feature text data a' u Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform product specification inspection and control operations on ventilation equipment in the ventilation system; When the ventilation system ventilation equipment uses the product feature evaluation result data b' u To meet the design requirements, the next step is to control the installation status of the ventilation equipment in the ventilation system; S812, when the ventilation system ventilation equipment installation status evaluation result data c′ u When the installation requirements are not met, the ventilation system ventilation equipment real scene installation three-dimensional model data c u and the ventilation system ventilation equipment theoretical installation three-dimensional model data C xitong Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform ventilation equipment installation status inspection and control operations in the ventilation system; When the ventilation system ventilation equipment installation status evaluation result data c′ u To meet the installation requirements, perform the next step of ventilation system operation status control operation; S813, when the ventilation system operation index characteristic evaluation result data e p When the design requirements are not met, the actual operation limit index characteristic data d of the ventilation system p and the ventilation system design and operation index characteristic data d' p Push to the ventilation system construction and installation quality monitoring center through the Internet of Things communication network to perform ventilation system operation status inspection and control operations; When the ventilation system operation index characteristic evaluation result data e p To meet the design requirements, complete the ventilation system construction quality control work.

10. A ventilation data control system based on construction and installation quality control, used to implement the ventilation data control method based on construction and installation quality control according to any one of claims 1 to 9, characterized in that: The system comprises a ventilation system equipment use assessment module, a ventilation system equipment installation assessment module, a ventilation system operation index assessment module, and a ventilation system construction quality control execution module.

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