Building construction environment dust monitoring system

Abstract

The invention discloses a building construction environment dust monitoring system, and relates to the technical field of building engineering, the building construction environment dust monitoring system comprises a central processing unit, and further comprises a data acquisition module, a data transmission module, a data storage module, a geographic information module, a data analysis module and an abnormity warning module which are connected with the central processing unit, the data analysis module comprises a dust concentration algorithm unit, a dust diffusion algorithm unit and a diffusion change algorithm unit, influence coefficients are added to the sensors at different positions, meanwhile, temperature change factors are added in the calculation process, and then the diffusion effect of a dust source in a building construction area is measured through the dust diffusion algorithm unit; and the wind speed influence is introduced, the accuracy of the monitoring result is improved, finally the dust diffusivity is calculated through the diffusion change algorithm unit, and the safety of on-site workers is guaranteed by setting a threshold value and automatically triggering early warning.

Description

Technical Field

[0001] The invention relates to the technical field of building engineering, and in particular to a dust monitoring system for a building construction environment. Background Art

[0002] Construction refers to production activities during the implementation phase of engineering construction. It is the construction process of various types of buildings. It can also be said to be the process of turning various lines on the design drawings into physical objects at designated locations, including foundation construction, main structure construction, roof construction, decoration construction, etc. Construction sites usually have environmental pollution sources such as dust. Dust can pose potential risks to the health of workers and surrounding residents. Through dust monitoring, the levels of these environmental pollution sources can be discovered and evaluated in a timely manner, and appropriate control measures can be taken to ensure the health and safety of workers and surrounding personnel.

[0003] Currently, most existing methods for monitoring environmental dust at construction sites use real-time monitoring, that is, monitoring environmental changes in real time through sensors. Due to the complex environment of the construction site and the different monitoring importance of different sensor distribution locations, the current method does not integrate the sensors, resulting in poor monitoring results. In addition, the current method does not take into account the environmental changes at the construction site and the impact of dust diffusion, thereby increasing the damage to workers and reducing the accuracy of dust monitoring in the construction environment. Summary of the invention

[0004] The purpose of the present invention is to provide a dust monitoring system for a construction environment, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: a dust monitoring system for a construction environment, comprising a central processing unit, and also comprising a data acquisition module connected to the central processing unit, a data transmission module, a data storage module, a geographic information module, a data analysis module and an abnormal warning module; The data acquisition module is used to collect dust data in the construction area, the data acquisition module includes sensor equipment, the data transmission module is used to transmit data, the data storage module is used to store data acquired and generated by other modules, the data storage module includes a database, the data analysis module includes a dust concentration algorithm unit, a dust diffusion algorithm unit and a diffusion change algorithm unit, and the abnormal warning module is used to send warning information to remind construction personnel when abnormalities are found in the construction area; The dust concentration algorithm unit is used to calculate the average dust concentration C in the construction area, the dust diffusion algorithm unit is used to measure the diffusion effect of the dust source in the construction area, and the diffusion change algorithm unit is used to calculate the dust diffusion rate E, and determine whether to send an alarm based on the dust diffusion rate E.

[0006] Optionally, the sensor device includes a dust concentration sensor, a sampling pump and a filter, and the data acquisition module also includes an image acquisition device for monitoring the construction area.

[0007] Optionally, the average dust concentration calculation process in the dust concentration algorithm unit is as follows: ; Where C(t) is the average dust concentration at the current time t; S i (t) is the reading of the ith sensor; n is the number of sensors; is the influence coefficient of the i-th sensor, ranging from 0 to 1, and is used to balance the influence of sensors at different positions; is the rate of temperature change; H is the current temperature; H0 is the standard temperature; α is the temperature influence coefficient, with an initial value of 0.5, which is used to reflect the influence of temperature change on dust concentration; The sensor equipment is easily affected by the location conditions during the monitoring process. The influence coefficient of the i-th sensor is It is used to adjust according to the position of the sensor equipment and set the average threshold of the average dust concentration C to Y1. When C(t) is greater than Y1, it means that the dust concentration in the current construction environment is generally high, and the alarm is automatically triggered through the abnormal warning module.

[0008] Optionally, the dust diffusion algorithm unit process is as follows: ; D(x,y,t) is the dust concentration at the location (x,y) and the current time t; C(t) is the average dust concentration at the current time t; is the wind speed at the current time t; β is the wind speed influence coefficient, ranging from 0 to 1, which is used to reflect the effect of wind speed on dust diffusion; e is the base of the natural logarithm, which is used to reflect the exponential decay of dust concentration; σ is the diffusion coefficient, which ranges from 0 to 1 and indicates the diffusion capacity of dust in the air; θ is the wind direction angle; L is the distance from the dust source (x0, y0) to the position (x, y) and L is: ; By squaring, summing, and taking the square root, L is made more sensitive. Squaring will amplify the impact of larger values, highlighting the relationship between distance and dust concentration changes, so that D(x, y, t) can better reflect the impact of the distance between the dust source (x0, y0) and the position (x, y) on the dust concentration.

[0009] Optionally, the dust diffusion rate calculation process is as follows: ; Where E is the dust diffusion rate; D(x,y,t) is the dust concentration at the location (x,y) and the current time t; D(x,y,t0) is the dust concentration at the location (x,y) and the previous time point t0; t is the current time, t0 is the previous time point; The diffusion rate threshold of the dust diffusion rate E is set to Y2. When the dust diffusion rate E exceeds the diffusion rate threshold Y2, the abnormal warning module automatically triggers an alarm, and at this time, the temperature influence coefficient α in the dust concentration algorithm unit changes, specifically: ; By adjusting the influence of the temperature influence coefficient α on the dust concentration in real time according to the dust diffusion rate E, dust monitoring can better reflect the actual situation.

[0010] Optionally, the abnormal warning module includes a warning light, a transmitter and a broadcaster, and the transmitter is used to send information to management personnel.

[0011] Optionally, the data transmission module includes a wireless transmission unit and a wired communication interface, and the wireless transmission unit includes a narrowband Internet of Things.

[0012] Optionally, the geographic information module includes a GIS software platform, map data and spatial analysis tools.

[0013] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention calculates the average dust concentration C of the construction area through the dust concentration algorithm unit, and adds influence coefficients to sensors at different positions to balance the weight of the sensors at each position. At the same time, the temperature change factor is added in the calculation process, and then the diffusion effect of the dust source in the construction area is measured through the dust diffusion algorithm unit, and the influence of wind speed and the attenuation of dust concentration are introduced, so that dust monitoring can adapt to changes in the external environment, and the monitoring results can be automatically adjusted as the environment changes, further improving the accuracy of the monitoring results. Finally, the dust diffusion rate E is calculated by the diffusion change algorithm unit, and the warning is automatically triggered by setting the threshold, and countermeasures are taken immediately to reduce the damage to personnel caused by dust diffusion and ensure the safety of construction site workers.

[0014] 2. The present invention adjusts the influence of the temperature influence coefficient α on the dust concentration in real time according to the dust diffusion rate E, so that dust monitoring can better reflect the actual situation. The adjusted temperature influence coefficient α can then be brought into the dust concentration algorithm unit to recalculate the overall dust concentration level of the construction area, so that the dust concentration monitoring results can adapt to changes in the external environment and further improve the monitoring accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a system structure block diagram of the present invention; Figure 2 This is a block diagram of the data analysis module of the present invention. DETAILED DESCRIPTION

[0016] 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.

[0017] For example, see Figure 1 to Figure 2 ,This implementation provides a construction environment dust monitoring system, including a central processing unit, and also includes a data acquisition module connected to the central processing unit, a data transmission module, a data storage module, a geographic information module, a data analysis module and an abnormal warning module; The data acquisition module is used to collect dust data in the construction area. The data acquisition module includes multiple sets of sensor equipment. The data transmission module is used to transmit data. The data storage module is used to store data acquired and generated by other modules. The data storage module includes a database. The data analysis module includes a dust concentration algorithm unit, a dust diffusion algorithm unit and a diffusion change algorithm unit. The abnormal warning module is used to send warning information to remind construction personnel when abnormalities are found in the construction area. The sensor equipment includes a dust concentration sensor, a sampling pump and a filter, and the data acquisition module also includes an image acquisition device for monitoring the environmental conditions of the construction area and determining the information of the construction personnel and the construction progress in the area; The dust concentration algorithm unit is used to calculate the average dust concentration C in the construction area, the dust diffusion algorithm unit is used to measure the diffusion effect of the dust source in the construction area, and the diffusion change algorithm unit is used to calculate the dust diffusion rate E, and determine whether an alarm needs to be sent based on the dust diffusion rate E.

[0018] In this embodiment, the average dust concentration C of the construction area is calculated by the dust concentration algorithm unit, and influence coefficients are added to sensors at different positions to balance the weight of the sensors at each position. At the same time, the temperature change factor is added in the calculation process so that dust monitoring can adapt to changes in the external environment and improve the accuracy of the monitoring results. After obtaining the average dust concentration C, the dust diffusion algorithm unit is used to measure the diffusion effect of the dust source in the construction area, and the influence of wind speed and the attenuation of dust concentration are introduced to further improve the accuracy of the monitoring results. Finally, the dust diffusion rate E is calculated by the diffusion change algorithm unit. By calculating the dust diffusion rate in real time, the dust diffusion speed can be quickly identified. When the dust diffusion rate E is large, it means that the dust diffusion speed is too fast and it is easy to cause harm to personnel. By setting the threshold, the system can automatically trigger an early warning and take immediate countermeasures to avoid further spread of dust and ensure the safety of on-site workers.

[0019] Furthermore, the average dust concentration calculation process in the dust concentration algorithm unit is as follows: ; Where C(t) is the average dust concentration at the current time t; S i (t) is the reading of the ith sensor; n is the number of sensors; is the influence coefficient of the i-th sensor, ranging from 0 to 1, and is used to balance the influence of sensors at different positions; is the rate of temperature change; H is the current temperature; H0 is the standard temperature; α is the temperature influence coefficient, with an initial value of 0.5, which is used to reflect the influence of temperature change on dust concentration; The sensor equipment is easily affected by the location conditions during the monitoring process. The influence coefficient of the i-th sensor is It is used to adjust according to the position of the sensor equipment and set the average threshold of the average dust concentration C to Y1. When C(t) is greater than Y1, it means that the overall dust concentration in the current construction environment is high, and the alarm is automatically triggered through the abnormal warning module.

[0020] Specifically, the average dust concentration C of the construction area is calculated by the dust concentration algorithm unit, which can reflect the overall dust concentration level of the construction area and add the influence coefficient of the i-th sensor , adjust the influence of sensor equipment at different locations. For example, in the key construction area, where there are densely populated people, the influence coefficient of the i-th sensor installed in this area is It can be increased appropriately, or reduced appropriately, so that the monitoring results of dust concentration can fully reflect the real situation of the construction area and improve the monitoring effect.

[0021] Furthermore, the dust diffusion algorithm unit process is as follows: ; D(x,y,t) is the dust concentration at the location (x,y) and the current time t; C(t) is the average dust concentration at the current time t; is the wind speed at the current time t; β is the wind speed influence coefficient, ranging from 0 to 1, which is used to reflect the effect of wind speed on dust diffusion; e is the base of the natural logarithm, which is used to reflect the exponential decay of dust concentration; σ is the diffusion coefficient, which ranges from 0 to 1 and indicates the diffusion capacity of dust in the air; Specifically, the diffusion coefficient σ can be calculated by measuring the change of dust concentration with distance in a wind tunnel to simulate environmental conditions.

[0022] θ is the wind direction angle; L is the distance from the dust source (x0, y0) to the position (x, y) and L is: ; Dust sources (x0, y0) at construction sites specifically include excavators, bulldozers, concrete mixers, and other machines and equipment that generate a lot of dust when working; By squaring, summing, and taking the square root, L is made more sensitive. Squaring will amplify the impact of larger values ​​and highlight the relationship between distance and dust concentration changes, so that D(x, y, t) can better reflect the impact of the distance between the dust source (x0, y0) and the position (x, y) on the dust concentration change.

[0023] Specifically, by calculating D(x, y, t), the impact of construction activities at the dust source (x0, y0) can be evaluated, and by introducing the wind speed influence coefficient β and the attenuation effect and diffusion coefficient σ of the dust concentration, the dust diffusion can reflect the actual situation in the construction area, and the monitoring results can be automatically adjusted as the environment changes, further improving the accuracy of the monitoring results.

[0024] Furthermore, the dust diffusion rate calculation process is as follows: ; Where E is the dust diffusion rate; D(x,y,t) is the dust concentration at the location (x,y) and the current time t; D(x,y,t0) is the dust concentration at the location (x,y) and the previous time point t0; t is the current time, t0 is the previous time point; The diffusion rate threshold of the dust diffusion rate E is set to Y2. When the dust diffusion rate E exceeds the diffusion rate threshold Y2, the alarm is automatically triggered by the abnormal warning module, and the temperature influence coefficient α in the dust concentration algorithm unit changes at this time, specifically: ; Specifically, by adjusting the influence of the temperature influence coefficient α on the dust concentration in real time according to the dust diffusion rate E, dust monitoring can better reflect the actual situation and ensure the accuracy of the monitoring data. The adjusted temperature influence coefficient α can then be brought into the dust concentration algorithm unit to calculate the overall dust concentration level in the construction area again, and determine whether the average dust concentration C exceeds the average threshold value Y1, so that the dust concentration monitoring results can adapt to changes in the external environment and further improve the monitoring accuracy.

[0025] Specifically, by calculating D(x, y, t) at different time points to obtain the dust diffusion rate E, we can analyze the changing trend of dust concentration over time, which is convenient for identifying the pollution sources and affected areas in the construction area. When the dust concentration at the dust source (x0, y0) changes too fast, this dust source (x0, y0) can be processed without stopping the entire work, reducing the impact on construction efficiency. The dust diffusion rate E can also reflect the diffusion speed of dust in the subsequent construction area, which is easy to cause harm to personnel. By setting the diffusion rate threshold to Y2, the system can automatically trigger an early warning and take immediate countermeasures to reduce the damage to personnel caused by dust diffusion and ensure the safety of on-site workers.

[0026] Furthermore, the abnormal warning module includes a warning light, a transmitter and a broadcaster, and the transmitter is used to send information to management personnel.

[0027] Specifically, warning lights and annunciators are installed in various locations within the construction area. During installation, it is necessary to ensure that the warning lights and annunciators can cover the entire construction area, so that when the alarm is activated, every construction worker in the construction area can be informed of the alarm at the first time, so that they can quickly leave the construction area to ensure personal safety. At the same time, information is sent to management personnel through the transmitter, so that management personnel can be informed of the situation in the construction area in a timely manner so as to make subsequent response measures.

[0028] Furthermore, the data transmission module includes a wireless transmission unit and a wired communication interface, and the wireless transmission unit includes a narrowband Internet of Things.

[0029] Specifically, narrowband Internet of Things technology adopts a low-power design, and Internet of Things devices can operate in a low-energy state, thereby greatly extending the battery life. It is suitable for dust monitoring equipment that needs to work continuously for a long time, reducing maintenance costs. In addition, narrowband Internet of Things technology can achieve long-distance wireless communication, so that equipment in various locations can communicate stably, which is suitable for construction sites scattered over a wide area. In addition, narrowband Internet of Things technology has strong anti-interference capabilities and can maintain stable communication quality in complex electromagnetic environments, thereby improving the accuracy and reliability of dust concentration monitoring data.

[0030] Furthermore, the geographic information module includes GIS software platform, map data and spatial analysis tools.

[0031] Specifically, by using the GIS software platform and inputting the map data of the construction area, the dust concentration monitoring data is combined with the geographic location information to visualize the spatial distribution of dust pollution in the construction area. This visual display method enables managers to intuitively understand the dust pollution status, thereby facilitating the subsequent treatment of dust pollution.

[0032] 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 dust monitoring system for a construction environment, comprising a central processing unit, characterized in that: It also includes a data acquisition module, a data transmission module, a data storage module, a geographic information module, a data analysis module and an abnormal warning module connected to the central processing unit; The data acquisition module is used to collect dust data in the construction area, and the data acquisition module includes a sensor device; The data transmission module is used to transmit data; The data storage module is used to store data acquired and generated by other modules, and the data storage module includes a database; The data analysis module includes a dust concentration algorithm unit, a dust diffusion algorithm unit and a diffusion change algorithm unit; The abnormal warning module is used to send warning information to remind construction personnel when abnormalities are found in the construction area; The dust concentration algorithm unit is used to calculate the average dust concentration in the construction area, the dust diffusion algorithm unit is used to measure the diffusion effect of the dust source in the construction area, and the diffusion change algorithm unit is used to calculate the dust diffusion rate and determine whether to send an alarm based on the dust diffusion rate.

2. The construction environment dust monitoring system according to claim 1 is characterized by: The sensor device includes a dust concentration sensor, a sampling pump and a filter; The data acquisition module also includes an image acquisition device for monitoring the construction area.

3. The construction environment dust monitoring system according to claim 2 is characterized by: The average dust concentration calculation process in the dust concentration algorithm unit is as follows: ； Where C(t) is the average dust concentration at the current time t; S i (t) is the reading of the ith sensor; n is the number of sensors; is the influence coefficient of the i-th sensor, ranging from 0 to 1, and is used to balance the influence of sensors at different positions; is the rate of temperature change; H is the current temperature; H0 is the standard temperature; α is the temperature influence coefficient, with an initial value of 0.5, which is used to reflect the influence of temperature change on dust concentration; The sensor equipment is easily affected by the location conditions during the monitoring process. The influence coefficient of the i-th sensor is It is used to adjust according to the position of the sensor equipment and set the average threshold of the average dust concentration to Y1. When C(t) is greater than Y1, it means that the dust concentration in the current construction environment is generally high, and the alarm is automatically triggered through the abnormal warning module.

4. The construction environment dust monitoring system according to claim 3 is characterized by: The dust diffusion algorithm unit process is as follows: ； D(x,y,t) is the dust concentration at the location (x,y) and the current time t; is the wind speed at the current time t; β is the wind speed influence coefficient, ranging from 0 to 1, which is used to reflect the effect of wind speed on dust diffusion; e is the base of the natural logarithm, which is used to reflect the exponential decay of dust concentration; σ is the diffusion coefficient, which ranges from 0 to 1 and indicates the diffusion capacity of dust in the air; θ is the wind direction angle; L is the distance from the dust source (x0, y0) to the position (x, y) and L is: 。 5. The construction environment dust monitoring system according to claim 4 is characterized by: The dust diffusion rate calculation process is as follows: ； Where E is the dust diffusion rate; D(x,y,t0) is the dust concentration at the location (x,y) and the previous time point t0; t is the current time, t0 is the previous time point; The diffusion rate threshold of the dust diffusion rate is set to Y2. When the dust diffusion rate exceeds the diffusion rate threshold Y2, the abnormal warning module automatically triggers an alarm, and at this time, the temperature influence coefficient in the dust concentration algorithm unit changes, specifically: ； By adjusting the influence of the temperature influence coefficient on the dust concentration in real time according to the dust diffusion rate, dust monitoring can reflect the actual situation.

6. The construction environment dust monitoring system according to claim 1 is characterized by: The abnormal warning module includes a warning light, a transmitter and a broadcaster; The transmitter is used to send information to management personnel.

7. The construction environment dust monitoring system according to claim 1 is characterized by: The data transmission module includes a wireless transmission unit and a wired communication interface, and the wireless transmission unit includes a narrowband Internet of Things.

8. The construction environment dust monitoring system according to claim 1 is characterized by: The geographic information module includes a GIS software platform, map data and spatial analysis tools.

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