A construction safety control system and method

Abstract

The present invention discloses a construction safety control system and method, and relates to the technical field of construction survey data processing. The system includes a plurality of distributed control modules, and a construction machine is arranged on the construction area. The distributed control module includes: a reference calculation module, which is used to obtain reference position data and first remote sensing position data corresponding to a preset position, and is also used to obtain a first correction parameter; a safety correction module, which is used to obtain second remote sensing position data corresponding to the construction machine, and is also used to obtain construction position data; a control module, which is used to determine whether the construction machine is in a safe construction area according to the construction position data, and if not, a control instruction is issued and the position of the construction machine is adjusted to the safe construction area. The present invention has the advantages of dynamically adjusting the survey results, being safe and stable, and improving the construction operation effect.

Description

Technical Field

[0001] The present invention relates to the technical field of building survey data processing, and in particular to a building construction safety control system and method. Background Art

[0002] In the field of construction, various operations such as ground transportation, aerial operations, excavation, and pouring are important links in the overall project. The accuracy and efficiency of these operations are directly related to the final quality and progress of the project. However, traditional operation methods have many technical problems, such as inaccurate positioning, low operation efficiency, and many safety hazards, which have always plagued construction units. In order to solve these problems, advanced construction safety control systems came into being, but in actual application, construction safety control systems still face some challenges that need to be solved urgently.

[0003] In ground transportation operations, due to the complexity and variability of construction sites, it is often difficult for the system to accurately track the location and status of the transportation equipment, resulting in the inability to accurately deliver materials to the designated location. The problem of inaccurate positioning still exists, which seriously affects construction efficiency and accuracy.

[0004] During aerial operations, the system also faces monitoring challenges. Due to the particularity and danger of high-altitude operations, the system needs to monitor key parameters such as operation height and angle in real time to ensure operation safety. However, safety accidents caused by improper parameter settings occur from time to time, posing great risks to construction workers and the project itself.

[0005] For excavation and pouring operations, construction safety control systems also face challenges in precise positioning and control, as excavation and pouring operations require precise control of excavation depth and pouring shape to ensure that the project quality meets the design requirements. However, some systems cannot provide sufficient accuracy and stability in actual applications, resulting in deviations in excavation depth and pouring shape, which cannot meet the high standards of project quality.

[0006] In addition, due to the diversity and complexity of the construction environment, the system needs to have higher adaptability and robustness to ensure stable performance and accurate positioning in different environments. At the same time, the efficiency and effectiveness of the automatic control algorithm also need to be further improved to meet the high precision and high efficiency requirements in the actual construction process. Only by continuously optimizing the algorithm and improving the calculation speed and accuracy can we better meet the needs of actual construction. Summary of the invention

[0007] In view of the defects in the prior art, the present invention provides a construction safety control system and method.

[0008] A construction safety control system includes a plurality of distributed control modules respectively located in different construction areas, wherein the plurality of construction areas respectively correspond to a plurality of construction type data, and construction machinery is arranged in the construction areas; wherein the distributed control module includes: a reference calculation module, used to obtain reference position data and first remote sensing position data corresponding to a preset position, and also used to obtain a reference calculation model and process the construction type data, the reference position data and the first remote sensing position data based on the reference calculation model to obtain a first correction parameter; a safety correction module, used to obtain second remote sensing position data corresponding to the construction machinery, and also used to obtain a differential correction model and process the first correction parameter and the second remote sensing position data based on the differential correction model to obtain construction position data; and a control module, used to determine whether the construction machinery is in a safe construction area according to the construction position data, and if not, to issue a control instruction and adjust the position of the construction machinery to the safe construction area.

[0009] Preferably, the benchmark calculation model acquired by the benchmark calculation module includes: ;in, is the first correction parameter, is the reference position data, is the first remote sensing position data, is the construction type data, , , , Fitting parameters for the model.

[0010] Preferably, the differential correction model acquired by the security correction module includes: ;in, is the construction location data, , are the model fitting parameters, is the second remote sensing position data.

[0011] Preferably, the construction type data is correlated with the model fitting parameters.

[0012] Preferably, the construction area includes a foundation pit area, a main structure area, a construction and decoration area, and a building materials storage area.

[0013] Preferably, the first remote sensing position data and the second remote sensing position data are acquired through satellite positioning or laser ranging.

[0014] Preferably, the construction type data includes ground transportation type benchmark data, aerial operation type benchmark data, excavation type benchmark data, casting type benchmark data and backfill type benchmark data.

[0015] A construction safety control method is also provided, which is applied to multiple distributed control modules located in different construction areas, wherein the multiple construction areas correspond to multiple construction type data, respectively, and construction machinery is arranged in the construction areas. The method comprises: S1, obtaining reference position data and first remote sensing position data corresponding to a preset position, obtaining a reference calculation model and processing the construction type data, the reference position data and the first remote sensing position data based on the reference calculation model to obtain a first correction parameter; S2, obtaining second remote sensing position data corresponding to the construction machinery, obtaining a differential correction model and processing the first correction parameter and the second remote sensing position data based on the differential correction model to obtain construction position data; S3, judging whether the construction machinery is in a safe construction area according to the construction position data, and if not, issuing a control instruction and adjusting the position of the construction machinery to the safe construction area.

[0016] Preferably, the S1 includes: S11, obtaining reference position data and first remote sensing position data corresponding to a preset position; S12, obtaining a reference calculation model; S13, processing the construction type data, the reference position data and the first remote sensing position data based on the reference calculation model, and obtaining a first correction parameter.

[0017] Preferably, the S2 includes: S21, acquiring second remote sensing position data corresponding to the construction machinery; S22, acquiring a differential correction model; S23, processing the first correction parameter and the second remote sensing position data based on the differential correction model, and acquiring the construction position data.

[0018] The beneficial effects of the present invention are embodied in:

[0019] In the whole system, the benchmark calculation module first selects a preset position, the benchmark position data of this preset position is known and accurate, obtains the first remote sensing position data at this preset position, and processes these data through the benchmark calculation model to obtain the first correction parameter. This first correction parameter is affected by altitude, weather, atmospheric delay, satellite clock error, etc., and the value of this first correction parameter is different for different collection methods of the first remote sensing position data. Among them, the distributed control modules in different construction areas can correspond to different construction type data, which means that the system can perform personalized calculations and controls according to the characteristics of different construction environments. For example, in ground transportation operations, the system only needs to consider spatial movement within a certain height, and the construction type data can filter out the data that does not meet this requirement in the benchmark position data and the first remote sensing position data, thereby improving the strong correlation between the first correction parameter and the ground transportation type, which can provide a basis for subsequent precise safety control. Next, the safety correction module further obtains the second remote sensing position data corresponding to the construction machinery, and uses the differential correction model to process the first correction parameter and the second remote sensing position data, and finally obtains the construction position data. The safety correction module not only improves the accuracy and stability of the construction machinery positioning, but also enables the system to maintain stable performance and accurate positioning in various complex construction environments. Finally, the control module determines whether the construction machinery is in a safe construction area based on the construction position data, and issues a control command when necessary to adjust the position of the construction machinery to a safe construction area. This function effectively solves the safety hazard problem in the traditional operation method and provides a strong safety guarantee for the construction personnel and the project itself. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0021] Figure 1 It is a schematic diagram of the composition of the building construction safety control system of the present invention;

[0022] Figure 2 A schematic diagram of the steps of the construction safety control method of the present invention;

[0023] Figure 3 Schematic diagram of the steps of the construction safety control method S1 of the present invention;

[0024] Figure 4 Schematic diagram of the steps of the construction safety control method S2 of the present invention.

[0025] Reference numerals:

[0026] 100 - distributed control module, 110 - reference calculation module, 120 - safety correction module, 130 - control module, 200 - construction area, 210 - construction machinery, 300 - preset position. DETAILED DESCRIPTION

[0027] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Generally, the components of the embodiments of the present invention described and shown in the drawings here can be arranged and designed in various different configurations.

[0028] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. 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.

[0029] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in the subsequent drawings. In addition, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0030] like Figure 1 As shown, a construction safety control system is provided, including a plurality of distributed control modules 100 respectively located in different construction areas 200, the plurality of construction areas 200 respectively correspond to a plurality of construction type data, and a construction machine 210 is arranged on the construction area 200; wherein the distributed control module 100 includes:

[0031] The reference calculation module 110 is used to obtain reference position data and first remote sensing position data corresponding to the preset position 300, and is also used to obtain a reference calculation model and process the construction type data, the reference position data and the first remote sensing position data based on the reference calculation model to obtain a first correction parameter;

[0032] The safety correction module 120 is used to obtain the second remote sensing position data corresponding to the construction machine 210, and is also used to obtain a differential correction model and process the first correction parameter and the second remote sensing position data based on the differential correction model to obtain the construction position data;

[0033] The control module 130 is used to determine whether the construction machine 210 is in the safe construction area 200 according to the construction position data. If not, a control instruction is issued to adjust the position of the construction machine 210 to the safe construction area 200 .

[0034] In this embodiment, it should be noted that the entire system integrates multiple distributed control modules 100, which correspond to different construction areas 200 and construction type data, thereby achieving comprehensive, real-time and accurate safety control of various construction processes.

[0035] Specifically, the benchmark calculation module 110 in the system selects a preset position 300, the benchmark position data of this preset position 300 is known and accurate, and the first remote sensing position data is obtained at this preset position 300, and these data are processed through the benchmark calculation model to obtain the first correction parameter. This first correction parameter is affected by altitude, weather, atmospheric delay, satellite clock error, etc., and the value of this first correction parameter is different for different collection methods of the first remote sensing position data; wherein, the distributed control module 100 of different construction areas 200 can correspond to different construction type data, which means that the system can perform personalized calculation and control according to the characteristics of different construction environments; for example, in ground transportation operations, the system only needs to consider spatial movement within a certain height, and the construction type data can filter out the data that does not meet this requirement in the benchmark position data and the first remote sensing position data, thereby improving the strong correlation between the first correction parameter and the ground transportation type, which can provide a basis for subsequent precise safety control. Next, the safety correction module 120 further obtains the second remote sensing position data corresponding to the construction machinery 210, and uses the differential correction model to process the first correction parameter and the second remote sensing position data, and finally obtains the construction position data. The safety correction module 120 not only improves the accuracy and stability of the positioning of the construction machinery 210, but also enables the system to maintain stable performance and accurate positioning in various complex construction environments. Finally, the control module 130 determines whether the construction machinery 210 is in the safe construction area 200 based on the construction position data, and issues a control instruction when necessary to adjust the position of the construction machinery 210 to the safe construction area 200. This function effectively solves the safety hazard problem in the traditional operation method and provides a strong safety guarantee for the construction personnel and the project itself. In summary, this technical solution not only improves the accuracy and efficiency of construction operations, but also significantly enhances the safety of construction operations, and provides strong data support and decision-making basis for construction units.

[0036] Next, by optimizing the automatic control algorithm to improve the calculation speed and accuracy, the actual construction needs are better met, providing a new and efficient means of safety monitoring and management for modern construction.

[0037] In one embodiment, the benchmark calculation model acquired by the benchmark calculation module 110 includes:

[0038] ;in,

[0039] is the first correction parameter, is the reference position data, is the first remote sensing position data, is the construction type data, , , , Fitting parameters for the model.

[0040] In this embodiment, it should be noted that the reference calculation model first calculates the difference between the reference position data and the first remote sensing position data obtained, and this difference is then squared by the construction type data (representing the valid data range required for different construction types) plus a constant Scaling is done and then multiplied by the factor ; where the construction type data is a single value or scalar that is converted to represent the construction requirements. The formula also includes a periodic adjustment term that introduces additional periodic adjustments based on the construction type data using a sine function whose input is the construction type data plus a phase offset , the output of this sine function is multiplied by the coefficient , and the output of the periodic adjustment item is obtained. The output of the nonlinear transformation and the output of the periodic adjustment item are added to obtain the final first correction parameter. By comprehensively considering the construction standard, the reference position data and the first remote sensing position data, and after nonlinear transformation and periodic adjustment, the first correction parameter for subsequent processing is calculated. This parameter plays a vital role in the construction safety control system.

[0041] In one embodiment, the differential correction model obtained by the security correction module 120 includes:

[0042] ;in,

[0043] is the construction location data, , are the model fitting parameters, is the second remote sensing position data.

[0044] In this embodiment, it should be noted that Represents the basic location data of construction machinery obtained through remote sensing technology, represents the final construction position after model correction; the model first calculates an intermediate value, which is , which reflects the first correction parameter Second remote sensing position data The relative impact of When the ratio is larger, the ratio will also be larger, which means that the correction has a more significant impact on the final position. After the power operation, we can further adjust the nonlinear degree of the correction. This nonlinear adjustment enables the model to adapt to different construction environments and conditions more flexibly. Then, by introducing the model fitting parameters , we can correct the intermediate value more accurately. In different construction scenarios, the basic location data and the first correction parameter The relationship may be different by adjusting this ratio and combining By using the model, we can make the model better adapt to different construction environments and conditions.

[0045] In one embodiment, construction type data is correlated with model fitting parameters.

[0046] In this embodiment, it should be noted that the values ​​of the model fitting parameters often depend on the construction type data. Different types of construction environments and construction conditions may require different model fitting parameters to accurately describe and predict the construction location data. Therefore, when establishing a differential correction model, it is necessary to reasonably select and adjust the model fitting parameters based on the specific construction type data.

[0047] As the construction process progresses, the construction type data may change. For example, the geological conditions may become more complex due to the increase in excavation depth, and the performance of the construction machine 210 may decrease due to long-term use. In order to maintain the accuracy and reliability of the model, it is necessary to dynamically adjust the model fitting parameters according to the changes in the construction type data.

[0048] The association between construction type data and model fitting parameters is also reflected in the optimization goal. The goal of model fitting is to find a model that performs well on the entire data set and can generalize to new data. As part of the model input, the accuracy and completeness of construction type data directly affect the optimization effect and generalization ability of the model. Therefore, by optimizing the collection and processing of construction type data, the accuracy and reliability of model fitting parameters can be improved, thereby improving the performance of the entire model.

[0049] In one embodiment, the construction area 200 includes a foundation pit area, a main structure area, a construction and decoration area, and a building materials storage area.

[0050] In this embodiment, it should be noted that the foundation pit area is the basic part of the construction, which usually involves the excavation of earthwork and the construction of supporting structures. The differential correction model can be used to accurately calculate the construction position during the foundation pit excavation process to ensure the accuracy and safety of the excavation. The main structure area is the core part of the building, including the construction of structural elements such as beams, columns, floor slabs, and walls. The differential correction model can be applied to the position correction in the main structure construction to improve the construction accuracy. The building material storage area is the area where building materials and equipment are stored, such as steel bars, cement, mechanical equipment, etc.

[0051] In one embodiment, the first remote sensing position data and the second remote sensing position data are acquired through satellite positioning or laser ranging.

[0052] In this embodiment, it should be noted that satellite positioning technology, such as the Global Positioning System (GPS), uses satellite signals to determine the precise location of ground points; in the field of construction, GPS technology can be used to obtain accurate location data of construction machinery 210, building material storage areas, and even the entire construction area 200; these data are crucial for the formulation of construction plans, monitoring of construction progress, and control of construction quality. Laser ranging technology determines the distance by measuring the time it takes for a laser beam to be emitted, reflected, and then returned to the receiver; this technology is also widely used in the field of construction, especially in situations where high-precision distance measurement is required; for example, during the excavation of foundation pits, laser rangefinders can be used to accurately measure the excavation depth; in the construction of the main structure, it can be used to measure the size and position deviation of beams, columns, and walls.

[0053] In one embodiment, the construction type data includes ground transportation type benchmark data, aerial operation type benchmark data, excavation type benchmark data, pouring type benchmark data and backfill type benchmark data.

[0054] In this embodiment, it should be noted that the ground transportation benchmark data involves material transportation activities on the ground, such as the transportation of building materials such as concrete and steel bars. Aerial operations usually refer to construction activities carried out at high altitudes, such as tower crane operations and high-altitude welding. Excavation benchmark data involves construction activities such as foundation pit excavation and soil excavation. Pouring benchmark data refers to the pouring process of concrete, which is an important part of building construction. Backfill benchmark data refers to the process of filling soil or other materials back into place after excavation or construction.

[0055] like Figures 2 to 4 As shown, a construction safety control method is also provided, which is applied to a plurality of distributed control modules respectively located in different construction areas, the plurality of construction areas respectively correspond to a plurality of construction type data, and construction machinery is arranged in the construction area, and the method comprises:

[0056] S1, obtaining reference position data and first remote sensing position data corresponding to a preset position, obtaining a reference calculation model, and processing the construction type data, the reference position data and the first remote sensing position data based on the reference calculation model to obtain a first correction parameter;

[0057] S2, obtaining second remote sensing position data corresponding to the construction machinery, obtaining a differential correction model, and processing the first correction parameter and the second remote sensing position data based on the differential correction model to obtain construction position data;

[0058] S3. Determine whether the construction machinery is in a safe construction area based on the construction position data. If not, issue a control command and adjust the position of the construction machinery to a safe construction area.

[0059] In one embodiment, S1 includes:

[0060] S11, obtaining reference position data and first remote sensing position data corresponding to a preset position;

[0061] S12, obtaining a benchmark calculation model;

[0062] S13. Processing the construction type data, the benchmark position data and the first remote sensing position data based on the benchmark calculation model, and obtaining a first correction parameter.

[0063] In one embodiment, S2 includes:

[0064] S21, obtaining second remote sensing position data corresponding to the construction machinery;

[0065] S22, obtaining a differential correction model;

[0066] S23. Process the first correction parameter and the second remote sensing position data based on the differential correction model, and obtain the construction position data.

[0067] In this embodiment, it should be noted that regarding the construction safety control method in the above embodiment, the specific method of performing the operation has been described in detail in the implementation of the relevant construction safety control system, and will not be elaborated here.

[0068] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A construction safety control system, characterized in that: It includes multiple distributed control modules located in different construction areas, each of which corresponds to multiple construction type data, and a construction machine is arranged in the construction area; wherein the distributed control module includes: A reference calculation module, used to obtain reference position data and first remote sensing position data corresponding to a preset position, and further used to obtain a reference calculation model and process the construction type data, the reference position data and the first remote sensing position data based on the reference calculation model to obtain a first correction parameter; A safety correction module, used to obtain second remote sensing position data corresponding to the construction machinery, and also used to obtain a differential correction model and process the first correction parameter and the second remote sensing position data based on the differential correction model to obtain construction position data; A control module is used to determine whether the construction machine is in a safe construction area based on the construction position data, and if not, to issue a control instruction and adjust the position of the construction machine to the safe construction area; The benchmark calculation model obtained by the benchmark calculation module includes: ;in, is the first correction parameter, is the reference position data, is the first remote sensing position data, is the construction type data, , , , are the model fitting parameters; The differential correction model obtained by the security correction module includes: ;in, is the construction location data, , are the model fitting parameters, is the second remote sensing position data; The construction type data is a single value or scalar converted into a single value that can represent the construction requirements, and the construction type data includes ground transportation type benchmark data, aerial operation type benchmark data, excavation type benchmark data, pouring type benchmark data and backfill type benchmark data.

2. The construction safety control system according to claim 1, characterized in that: The construction type data is correlated with the model fitting parameters.

3. The construction safety control system according to claim 1, characterized in that: The construction area includes a foundation pit area, a main structure area, a construction and decoration area, and a building materials storage area.

4. The construction safety control system according to claim 1, characterized in that: The first remote sensing position data and the second remote sensing data are acquired through satellite positioning or laser ranging.

5. A construction safety control method, characterized in that: Applied to a plurality of distributed control modules respectively located in different construction areas, the plurality of construction areas respectively correspond to a plurality of construction type data, and construction machinery is arranged in the construction areas, the method comprises: S1. Obtaining reference position data and first remote sensing position data corresponding to a preset position, obtaining a reference calculation model and processing the construction type data, the reference position data and the first remote sensing position data based on the reference calculation model to obtain a first correction parameter. The reference calculation model obtained by the reference calculation module includes: ;in, is the first correction parameter, is the reference position data, is the first remote sensing position data, is the construction type data, , , , is a model fitting parameter; wherein the construction type data is a single value or scalar converted into a single value that can represent the construction requirements, and the construction type data includes ground transportation benchmark data, aerial operation benchmark data, excavation benchmark data, casting benchmark data and backfill benchmark data; S2, obtaining the second remote sensing position data corresponding to the construction machinery, obtaining the differential correction model and processing the first correction parameter and the second remote sensing position data based on the differential correction model to obtain the construction position data, wherein the differential correction model obtained by the safety correction module includes: ;in, is the construction location data, , are the model fitting parameters, is the second remote sensing position data; S3. Determine whether the construction machinery is in a safe construction area based on the construction position data. If not, issue a control command and adjust the position of the construction machinery to a safe construction area.

6. The construction safety control method according to claim 5, characterized in that: The S1 includes: S11, obtaining reference position data and first remote sensing position data corresponding to a preset position; S12, obtaining a benchmark calculation model; S13. Processing the construction type data, the benchmark position data and the first remote sensing position data based on the benchmark calculation model, and obtaining a first correction parameter.

7. The construction safety control method according to claim 5, characterized in that: The S2 includes: S21, obtaining second remote sensing position data corresponding to the construction machinery; S22, obtaining a differential correction model; S23. Process the first correction parameter and the second remote sensing position data based on the differential correction model, and obtain the construction position data.

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