Constructional engineering state real-time monitoring control system

Abstract

The invention relates to the technical field of constructional engineering state monitoring, in particular to a constructional engineering state real-time monitoring control system which comprises the steps that a safety early warning instruction and a safety behavior detection instruction of constructional engineering are collected through sensor equipment and images, and the safety detection instruction is sent to a safety detection module; the safety detection module is used for receiving the safety behavior detection instruction transmitted by the data acquisition module and carrying out safety detection on the constructors entering the construction site; the data processing module is used for receiving a safety early warning instruction of the data acquisition module, matching an abnormal value in the safety early warning instruction with a preset abnormal threshold value, classifying the abnormal value, and issuing an inspection instruction when an abnormal signal is monitored; and early warning and alarm are triggered immediately according to the received abnormal signal, and response of related personnel is carried out according to early warning information. The safety early warning instruction and the safety behavior detection instruction of the constructional engineering are acquired in real time through the sensor equipment and the image acquisition equipment, so that the real-time monitoring of the construction site is ensured.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction engineering state monitoring, and particularly relates to a construction engineering state real-time monitoring control system. BACKGROUND

[0002] Real-time monitoring of construction engineering is an important means to ensure its safe operation, and the main safety state of the current construction site can be mastered through real-time monitoring data. At present, many large projects such as dams, bridges and tunnels have realized real-time safety monitoring of buildings, and accurate monitoring data feedback is a powerful guarantee for structural safety and engineering safe operation. However, the obtained monitoring data reflects the current state of the building, cannot find the adverse information existing in the data and the potential danger of the building structure, and cannot take preventive measures in advance for the possible danger of the building. It is necessary to monitor the data in real time according to the known safety monitoring data. SUMMARY

[0003] The present application provides a construction engineering state real-time monitoring control system to solve the technical problems in the prior art.

[0004] The technical scheme for solving the above technical problems is as follows: a construction engineering state real-time monitoring control system, comprising:

[0005] The data acquisition module: through the sensor device and the image acquisition construction engineering safety warning instruction and safety behavior detection instruction, the safety detection instruction is sent to the safety detection module;

[0006] The safety detection module: receiving the safety behavior detection instruction transmitted by the data acquisition module, safety detection is performed on the construction personnel entering the construction site;

[0007] The safety warning module: receiving the safety warning instruction of the data acquisition module, matching the abnormal value in the safety warning instruction with the preset abnormal threshold value, classifying the abnormal value, and issuing an inspection instruction when an abnormal signal is monitored;

[0008] The warning control module: receiving the abnormal signal, triggering the warning and alarm immediately, and responding to the relevant personnel according to the warning information.

[0009] In a preferred embodiment, the data acquisition module is used to acquire safety warning instructions of the construction project, and the safety warning instructions are sent to the safety detection module. The data acquisition module generates safety warning instructions based on sensor equipment and image detection equipment installed on the construction site. The safety warning instructions include temperature, humidity, pressure, displacement, and inclination instructions. The position of the sensor equipment is obtained, and the identification area and the monitoring area are planned according to the position of the sensor equipment. The monitoring area is used to monitor the safety warning instructions of the construction site, and the identification area is used to record the video of the personnel entering the construction site. The safety warning instructions in the monitoring area are monitored to obtain a monitoring set of safety warning instructions. The operation of the sensor equipment in the identification area is adaptively controlled according to different instructions in the monitoring set of safety warning instructions. The sensor equipment captures the image of the construction personnel entering the identification area to obtain an image data set. The time point of entering the identification area is set as a monitoring point. An infrared sensor detects whether there is a construction personnel in the infrared detection area in the identification area. If there is a construction personnel in the detection area, a safety behavior detection instruction is generated. If there is no construction personnel in the detection area, no safety behavior detection instruction is generated. The formation area of the identification area is determined as follows: the position of the sensor equipment is obtained and planned as a reference point. The identification width and the identification length of the sensor are expanded on both sides and in front of the reference point, respectively. The expanded area is set as the identification area.

[0010] In a preferred embodiment, the safety detection module sets the time points when the construction personnel enters and leaves the monitoring area as the entering time and the leaving time point. The target entering and leaving the monitoring area is monitored and evaluated in the monitored time period. The total number of construction personnel entering and leaving the monitoring area in the monitored time period is marked as TN and TD, respectively. The corresponding time period weight value in the monitored time period is obtained and marked as TP. The monitoring evaluation value is calculated, and the specific calculation method is as follows:

[0011] ME = (TN-TD) / TP

[0012] Wherein, ME represents the monitoring evaluation value. The safety of the construction personnel on the construction site is detected according to the obtained monitoring evaluation value. The specific operation steps of the safety detection are as follows:

[0013] S1, the average value of the unsafe behavior influencing factors in the construction site is obtained, and the rounding operation is performed on the obtained average value. The rounded average value is used as sample data.

[0014] The unsafe behavior includes not wearing personal protective equipment correctly, ignoring safety signs and warning signs, using damaged tools and equipment, and entering dangerous areas without authorization.

[0015] S2, take the maximum value of the image data set as the reference data column, and record the reference data column as Y n , the value of the mth influencing factor of the unsafe behavior of the construction personnel is Y n (m), and record the comparison sequence as Y i (i = 1, 2, 3,..., x), the value of the mth influencing factor of the unsafe behavior of the construction personnel is Y i (m);

[0016] It should be noted that before taking the maximum value of the image data set as the reference sequence, the image data set needs to be preprocessed, feature extracted, and vectorized. The specific process is as follows: pre-process the image, including image denoising, size adjustment, and standardization processing; extract features from the pre-processed image, including image pixel value, texture, shape, and color; vectorize the extracted features, convert the image features into a digital vector, convert each pixel value of the image into a number, and arrange it into a vector according to a certain order.

[0017] S3, calculate the absolute value of the difference between the reference data column Y n and the comparison data column Y i , to obtain the minimum difference and the maximum difference, and the calculation method is as follows:

[0018] min (Δ i min) = min i min m |Y0(m)-Y i (m)|

[0019] max (Δ i max) = max i max m |Y0(m)-Y i (m)|

[0020] Where max and min represent the maximum and minimum values of the two levels, respectively, Y n and Y i represent the reference data column and the comparison data column, respectively;

[0021] S4, according to the correlation coefficient, calculate the correlation degree of each unsafe behavior influencing factor, and sort the results, the specific calculation formula is as follows:

[0022]

[0023] In the formula, Q i (i = 1, 2, 3,..., n) is the weight, B i (m) is the correlation coefficient, and J iThe correlation degree of the unsafe behavior influencing factor of the construction personnel in the mth construction site is represented by p, and p=0.5.

[0024] In a preferred embodiment, the safety warning module receives the safety warning instruction transmitted by the data acquisition module, and performs safety detection on the construction site by installing various sensors on the construction site to collect temperature, humidity, pressure, displacement and inclination data of the construction site. The specific detection method is as follows:

[0025] S1, the safety risk coefficient of the construction site is calculated, the temperature, humidity, pressure, displacement and inclination are brought into the formula to calculate the safety risk coefficient, and the specific calculation formula of the safety risk coefficient is as follows:

[0026] R=w t ·f(T)+w h ·g(H)+w p ·h(P)+w d ·k(D)+w i ·l(I)

[0027] Wherein, w t , w h , w p , w d , w i respectively represent the weight of temperature T, humidity H, pressure P, displacement D and inclination I, which represents the contribution degree of each parameter to the total risk, f(), g(), h(), k(), l() is the conversion function for each parameter, which is used to convert the sensor data into the corresponding risk value.

[0028] S2, the abnormal risk coefficient of the safety warning instruction is calculated, the abnormal risk coefficient is obtained by acquiring the abnormal historical data in the sensor data, the total number of corresponding abnormal data under different detection conditions is counted, the type weight of the abnormal data is obtained, and the specific calculation formula of the abnormal risk coefficient is as follows:

[0029]

[0030] Wherein, w i represents the weight of the abnormal type, t i represents the number of corresponding abnormal data in the historical data, and the related information of the safety risk coefficient and the abnormal risk coefficient is sent to the warning control module.

[0031] In a preferred embodiment, the early warning control module triggers early warning and alarm information according to the monitored safety risk coefficient and abnormal risk coefficient information, and notifies relevant personnel through sound, short message and email when the monitoring data exceeds the preset threshold. The relevant personnel need to take immediate response control measures to deal with the problem after receiving the early warning and alarm notification, a feedback mechanism is established to report the development of the control measures in time, and the control measures are adjusted and improved in time to ensure the safety and stability of the construction engineering state.

[0032] The application also provides a real-time monitoring control method for a construction engineering state, specifically comprising the following steps:

[0033] S101, acquiring safety early warning instructions and safety behavior detection instructions of the construction engineering through a sensor device and an image acquisition device;

[0034] S102, receiving the safety behavior detection instructions to perform safety detection on the construction personnel entering the construction site;

[0035] S103, receiving the safety early warning instructions, matching the abnormal values in the safety early warning instructions with preset abnormal threshold values, classifying the abnormal values, and issuing an inspection instruction when an abnormal signal is monitored;

[0036] S104, triggering early warning and alarm immediately according to the received abnormal signal, and responding to relevant personnel according to the early warning information.

[0037] The application has the following beneficial effects: the application acquires safety early warning instructions and safety behavior detection instructions of the construction engineering in real time through a sensor device and an image acquisition device, thereby ensuring real-time monitoring of the construction site, performing safety monitoring and abnormal value detection through the received monitoring instructions, intelligently identifying abnormal conditions, improving the accuracy of early warning, triggering alarm once abnormal conditions are detected, making relevant personnel respond quickly, and ensuring the safety of the construction site. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figure 1 The system block diagram of the application is shown in the figure;

[0039] Figure 2 The flowchart of the application is shown in the figure. DETAILED DESCRIPTION

[0040] The technical solutions in the embodiments of the application will be described clearly and completely below with reference to the drawings in the embodiments of the application. Obviously, the described embodiments are only part of the embodiments of the application, rather than all the embodiments of the application. Based on the embodiments in the application, all other embodiments obtained by those skilled in the art without creative work fall within the protection scope of the application.

[0041] In the description of the present application, the terms "first", "second" are only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of indicated technical features. Therefore, the features defined with "first", "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "a plurality of" is two or more, unless otherwise explicitly specified.

[0042] In the description of the present application, the term "for example" is used to indicate "as an example, illustration or description". Any embodiment described as "for example" in the present application is not necessarily interpreted as more preferred or more advantageous than other embodiments. The following description is given in order to enable any person skilled in the art to implement and use the present application. In the following description, details are listed for the purpose of explanation. It should be understood that those skilled in the art can realize the present application without using these specific details. In other examples, well-known structures and processes will not be described in detail to avoid unnecessary details making the description of the present application obscure. Therefore, the present application is not intended to be limited to the embodiments shown, but is consistent with the broadest scope in accordance with the principles and characteristics disclosed in the present application.

[0043] As Figure 1 The embodiment provides a construction engineering state real-time monitoring control system, comprising a data acquisition module, a safety detection module, a safety warning module and a warning control module.

[0044] The data acquisition module: through the sensor device and the image acquisition construction engineering safety warning instruction and safety behavior detection instruction, the safety detection instruction is sent to the safety detection module;

[0045] The safety detection module: receiving the safety behavior detection instruction transmitted by the data acquisition module, safety detection is performed on the construction personnel entering the construction site;

[0046] The safety warning module: receiving the safety warning instruction of the data acquisition module, matching the abnormal value in the safety warning instruction with the preset abnormal threshold value, classifying the abnormal value, and issuing an inspection instruction when an abnormal signal is monitored;

[0047] The warning control module: receiving the abnormal signal, immediately triggering the warning and alarm, and responding to the relevant personnel according to the warning information.

[0048] The embodiment specifically needs to explain the data acquisition module. The data acquisition module is used for collecting the safety warning instruction of the construction project, and sends the safety warning instruction to the safety detection module. The data acquisition module generates a safety warning instruction according to a sensor device and an image detection device installed on the construction site. The safety warning instruction includes temperature, humidity, pressure, displacement, and inclination instruction. The position of the sensor device is obtained. The identification area and the monitoring area are planned according to the position of the sensor device. The monitoring area is used for monitoring the safety warning instruction of the construction site. The identification area is used for recording the personnel entering the construction site. The safety warning instruction in the monitoring area is monitored to obtain a monitoring set of the safety warning instruction. The operation of the sensor device in the identification area is adaptively controlled according to different instructions in the monitoring set of the safety warning instruction. The sensor device is used for photographing the construction personnel entering the identification area to obtain an image data set. The time point of entering the identification area is set as a monitoring point. The infrared sensor detects whether there is a construction personnel in the infrared detection area in the identification area. If there is a construction personnel in the detection area, a safety behavior detection instruction is generated. If there is no construction personnel in the detection area, no safety behavior detection instruction is generated. The formation area of the identification area is determined as follows: the position of the sensor device is obtained and planned as a reference point. The identification width and the identification length of the sensor are respectively expanded on both sides and in front of the reference point. The expanded area is set as the identification area.

[0049] Specifically, the safety warning instruction is monitored by a temperature transmitter, a humidity sensor, a pressure sensor, a displacement sensor, an inclination sensor, and a vibration sensor. The construction personnel in the monitoring area are monitored by the image detection device. The number of construction personnel entering the monitoring area and the number of construction personnel leaving the monitoring area are counted by the counter according to the monitoring instruction.

[0050] In the embodiment, the safety detection module sets the time points of the construction personnel entering and leaving the monitoring area as the entering time and the leaving time point. The target entering and leaving the monitoring area is monitored and evaluated in the monitoring time period. The total number of construction personnel entering and leaving the monitoring area in the monitoring time period is marked as TN and TD respectively. The corresponding time period weight value in the monitoring time period is marked as TP. The monitoring evaluation value is calculated. The specific calculation method is as follows:

[0051] ME=(TN-TD) / TP

[0052] Wherein, ME represents the monitoring evaluation value. The construction personnel on the construction site is detected according to the obtained monitoring evaluation value. The specific operation steps of safety detection are as follows:

[0053] S1, average the unsafe behavior influencing factors in the construction site, round the obtained average value, and take the rounded average value as sample data;

[0054] Unsafe behaviors include not wearing personal protective equipment correctly, ignoring safety signs and warning signs, using damaged tools and equipment, and entering dangerous areas without authorization.

[0055] S2, take the maximum value in the image data set as reference data, and record the reference data as Y n , the value of the mth unsafe behavior influencing factor of the construction personnel is Y n (m), and record the comparison sequence as Y i (i=1, 2, 3,..., x), the value of the mth unsafe behavior influencing factor of the construction personnel is Y i (m);

[0056] It should be noted that before taking the maximum value in the image data set as the reference sequence, the image data set needs to be preprocessed, feature extracted, and vectorized. The specific process is as follows: pre-process the image, including image denoising, size adjustment, and standardization processing, extract features from the pre-processed image, the features include image pixel value, texture, shape, and color, vectorize the extracted features, convert image features into digital vectors, convert each pixel value of the image into a number, and arrange it into a vector according to a certain order.

[0057] S3, calculate the absolute value of the difference between the reference data Y n and the comparison data Y i , get the minimum difference and the maximum difference, and the calculation method is as follows:

[0058] min(Δ i min)=min i min m |Y0(m)-Y i (m)|

[0059] max(Δ i max)=max i max m |Y0(m)-Y i (m)|

[0060] Where max and min represent the maximum and minimum values of the two levels respectively, Y n and Y i represent the reference data and the comparison data respectively;

[0061] S4, according to the correlation coefficient, the correlation degree of each unsafe behavior influencing factor is calculated, and the results are sorted, and the specific calculation formula is as follows:

[0062]

[0063] In the formula, Q i (i=1, 2, 3,...,n) is the weight, B i (m) is the correlation coefficient, J i represent the correlation degree of the unsafe behavior influencing factor of the construction personnel in the mth construction site, and p is the resolution coefficient, p=0.5.

[0064] In this embodiment, it is necessary to explain the safety warning module, the safety warning module receives the safety warning instruction transmitted by the data acquisition module, and the safety of the construction site is detected by installing various sensors in the construction site to collect temperature, humidity, pressure, displacement and inclination data of the construction site. The specific detection method is as follows:

[0065] S1, the safety risk coefficient of the construction site is calculated, the temperature, humidity, pressure, displacement and inclination are brought into the formula to calculate the safety risk coefficient, and the specific calculation formula of the safety risk coefficient is as follows:

[0066] R=w t ·f(T)+w h ·g(H)+w p ·h(P)+w d ·k(D)+w i ·l(I)

[0067] Wherein, w t , w h , w p , w d , w i respectively represent the weight of temperature T, humidity H, pressure P, displacement D and inclination I, which represents the contribution of each parameter to the total risk, f(), g(), h(), k(), l() is the conversion function for each parameter, which is used to convert the sensor data into the corresponding risk value.

[0068] S2, the abnormal risk coefficient of the safety warning instruction is calculated, the abnormal risk coefficient is obtained by acquiring the abnormal historical data in the sensor data, the total number of corresponding abnormal data under different detection conditions is counted, the type weight of the abnormal data is obtained, and the specific calculation formula of the abnormal risk coefficient is as follows:

[0069]

[0070] Wherein, w i represents the weight of the abnormal type, ti The number of corresponding abnormal data in the historical data is represented, and the related information of the safety risk coefficient and the abnormal risk coefficient is issued to the early warning control module.

[0071] In the embodiment, the early warning control module needs to be specifically described. According to the safety risk coefficient and the abnormal risk coefficient information obtained by monitoring, when the monitoring data exceeds the preset threshold, the early warning and alarm information is triggered, and the related personnel are notified by means of sound, short message and email. The related personnel need to take corresponding control measures to deal with the problem immediately after receiving the early warning and alarm notification, a feedback mechanism is established, the related personnel timely report the development of the control measures, and the control measures are timely adjusted and improved, so that the safety and stability of the construction engineering state are ensured.

[0072] Embodiment 2

[0073] As Figure 2 The embodiment provides a construction engineering state real-time monitoring control method, which specifically comprises the following steps:

[0074] S101, obtaining safety early warning instructions and safety behavior detection instructions of a construction engineering by a sensor device and image acquisition;

[0075] S102, receiving the safety behavior detection instructions, and performing safety detection on construction personnel entering a construction site;

[0076] S103, receiving the safety early warning instructions, matching abnormal values in the safety early warning instructions with preset abnormal threshold values, classifying the abnormal values, and issuing an inspection instruction when an abnormal signal is monitored;

[0077] S104, triggering early warning and alarm immediately according to the received abnormal signal, and responding to the related personnel according to the early warning information.

[0078] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and the parts not described in detail in a certain embodiment can be referred to the related description of other embodiments.

[0079] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system or a computer program product. Therefore, the present application can adopt a completely hardware embodiment, a completely software embodiment or an embodiment combining software and hardware aspects. Moreover, the present application can adopt a computer program product in the form of one or more computer usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer usable program codes.

[0080] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0081] These computer program instructions can also be stored in a computer- readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instructions which implement the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0082] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams.

[0083] While the preferred embodiments of the application have been described, additional variations and modifications can be made to the embodiments by those of skill in the art once they have the benefit of the present disclosure without departing from the spirit and scope of the application. Accordingly, the attached claims are intended to embrace all such variations and modifications as fall within the scope of the present application.

[0084] Obviously, numerous modifications and variations of the present application are possible in light of the above teachings. It is therefore to be understood that within the scope of the appended claims and their equivalents, the application can be practiced otherwise than as specifically described.

Claims

1. A real-time monitoring control system for construction site status, characterized in that, The application relates to a safety detection and prewarning system for construction sites. The data collection module collects safety prewarning instructions for construction sites and sends the safety prewarning instructions to the safety detection module; the safety detection module receives the safety behavior detection instructions transmitted by the data collection module, and detects the safety of construction personnel entering the construction site; the safety prewarning module receives the safety prewarning instructions from the data collection module, matches abnormal values in the safety prewarning instructions with preset abnormal thresholds, classifies the abnormal values, and issues an inspection instruction when an abnormal signal is monitored; and the prewarning control module receives the abnormal signal, immediately triggers prewarning and alarm, and responds to relevant personnel according to the prewarning information. The data collection module is used for collecting safety prewarning instructions for construction sites, and sends the safety prewarning instructions to the safety detection module. The data collection module generates safety prewarning instructions according to sensor devices and image detection devices installed in the construction site. The safety prewarning instructions include temperature, humidity, pressure, displacement and inclination instructions. The position of the sensor device is obtained, and the identification area and the monitoring area are planned according to the position of the sensor device. The monitoring area is used for monitoring the safety prewarning instructions of the construction site, and the identification area is used for recording the personnel entering the construction site. The safety prewarning instructions in the monitoring area are monitored to obtain a monitoring set of the safety prewarning instructions. The operation of the sensor device in the identification area is adaptively controlled according to different instructions in the monitoring set of the safety prewarning instructions. The sensor device photographs the construction personnel entering the identification area to obtain an image data set. The time point of entering the identification area is set as a monitoring point. An infrared sensor detects whether there is construction personnel in the infrared detection area in the identification area. If there is construction personnel in the detection area, a safety behavior detection instruction is generated. If there is no construction personnel in the detection area, no safety behavior detection instruction is generated. The formation area of the identification area is determined as follows: the position of the sensor device is obtained and planned as a reference point. The identification width and the identification length of the sensor are respectively expanded on both sides and in front of the reference point. The expanded area is set as the identification area. The safety detection module sets the time points when the construction personnel enters and leaves the monitoring area as the entering time and the leaving time point. The entering and leaving targets in the monitoring area are monitored and evaluated in the monitoring time period. The total number of construction personnel entering and leaving the monitoring area in the monitoring time period is marked as TN and TD respectively. The corresponding time period weight value in the monitoring time period is marked as TP. The monitoring evaluation value is calculated. The specific calculation method is as follows:

2. The real-time monitoring control system for construction site status according to claim 1, wherein, ME = (TN-TD) / TP 3. The real-time monitoring control system for construction site status according to claim 1, characterized in that: Wherein, ME represents the monitoring evaluation value. The safety of the construction personnel in the construction site is detected according to the obtained monitoring evaluation value.

4. The real-time monitoring control system for construction site status according to claim 1, wherein, The specific operation steps of the safety detection are as follows: S1, average the unsafe behavior influencing factors in the construction site, round the obtained average value, and take the rounded average value as sample data; ​ 5. A real-time monitoring control system for construction site according to claim 4, characterized in that, ​ ​ S2, take the maximum value of the image data set as reference data, and record the reference data as Y n , the value of the mth influencing factor of the unsafe behavior of the construction personnel is Y n (m), and record the comparison sequence as Y i (i = 1, 2, 3,..., x), the value of the mth influencing factor of the unsafe behavior of the construction personnel is Y i (m); S3, compute reference data column Y n with comparison data column Y i The absolute value of the difference, resulting in two levels of minimum and maximum difference, the calculation method is shown as follows: min(Δ i min)=min i min m |Y0(m)-Y i (m)| max(Δ i max)=max i max m |Y0(m)-Y i (m)| wherein max, min represent the maximum and minimum values of the two levels, respectively, Y n , Y i represent the reference data column and the comparison data column, respectively; S4, according to the correlation coefficient, the correlation degree of each unsafe behavior influencing factor is calculated, and the results are sorted, and the specific calculation formula is as follows: where Q i (i = 1, 2, 3,..., n) is the weight, B i (m) is the correlation coefficient, J i represents the correlation degree of the unsafe behavior influencing factors of the construction personnel in the mth construction site, and p is the resolution coefficient, p = 0.

5.

6. The real-time monitoring control system for construction site status according to claim 1, wherein, The safety warning module receives the safety warning instruction transmitted by the data acquisition module, installs various sensors on the construction site, collects temperature, humidity, pressure, displacement and inclination data of the construction site, and detects the safety of the construction site.

7. A real-time monitoring control system for construction site according to claim 6, characterized in that, The safety monitoring method is as follows: S1, the safety risk coefficient of the construction site is calculated, the temperature, humidity, pressure, displacement and inclination are brought into the formula to calculate the safety risk coefficient, and the specific calculation formula of the safety risk coefficient is as follows: R = w t • f(T) + w h • g(H) + w p • h(P) + w d • k(D) + w i • l(I) where w t , w h , w p , w d , w i represent the weight of temperature T, humidity H, pressure P, displacement D and inclination I respectively, indicating the contribution of each parameter to the total risk, f(), g(), h(), k(), l() are conversion functions for each parameter, used to convert the sensor data into the corresponding risk value. S2, the abnormal risk coefficient of the safety warning instruction is calculated, the abnormal risk coefficient is obtained by acquiring the abnormal historical data in the sensor data, the total number of corresponding abnormal data under different detection conditions is counted, the type weight of the abnormal data is obtained, and the specific calculation formula of the abnormal risk coefficient is as follows: wherein w i represents the weight of the abnormal type, t i represents the number of corresponding abnormal data in the historical data, and the security risk coefficient and the abnormal risk coefficient are sent to the early warning control module.

8. The real-time monitoring control system for construction site status according to claim 1, wherein, The warning control module triggers the warning and alarm information when the monitoring data exceeds the preset threshold value according to the safety risk coefficient and the abnormal risk coefficient information obtained by monitoring, notifies the relevant personnel through the sound, short message and email, the relevant personnel receives the warning and alarm notification and needs to take corresponding control measures to deal with the problem immediately, establishes a feedback mechanism, reports the development of the control measures in time, and adjusts and improves the control measures in time.

9. A building engineering state real-time monitoring control method applied to the building engineering state real-time monitoring control system of any one of claims 1-8, comprising the following steps: S101, the safety warning instruction and the safety behavior detection instruction of the construction engineering are collected through the sensor equipment and the image acquisition; S102, receiving the safety behavior detection instruction, the safety of the construction personnel entering the construction site is detected; S103, receiving the safety warning instruction, matching the abnormal value in the safety warning instruction with the preset abnormal threshold value, classifying the abnormal value, and issuing the inspection instruction under the abnormal signal; S104, according to the received abnormal signal, triggering the warning and alarm immediately, and responding to the relevant personnel according to the warning information.

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