Highway construction safety accident early warning system and method

Abstract

The present invention discloses a highway construction safety accident early warning system and method, which relate to the technical field of highway construction. The system comprises a monitoring center, wherein the monitoring center is communicatively connected to a data detection module, a data processing module, a data analysis module, an early warning module, and a feedback module. The system acquires environmental parameters of a construction highway site by setting a data detection unit, analyzes the environmental parameters of the construction highway site, and thereby determines the light intensity of the construction highway area. Then, the system monitors personnel and vehicles entering from both ends of the construction highway through a distance measuring unit, thereby preventing non-construction personnel and vehicles from mistakenly entering the construction site due to poor light intensity and failing to quickly discover the construction site situation. This avoids safety hazards to the construction site and construction personnel at the construction site caused by outsiders or vehicles mistakenly entering the construction site.

Description

Technical Field

[0001] The present invention belongs to the technical field of highway construction, and in particular relates to a highway construction safety accident early warning system and method. Background Art

[0002] With the continuous development of the economy and the improvement of people's living standards, cars have become commonplace, providing great convenience for people's travel. To further facilitate people's daily commutes, numerous highways have been built. However, highways can become damaged after prolonged use, necessitating repairs. To guide vehicles and prevent them from disrupting construction, traffic cones are often placed to separate them. However, this method of separation carries significant safety risks, especially in poorly lit environments. Drivers can easily overlook these cones, causing vehicles to stray into construction sites, posing a safety hazard to both drivers and on-site workers. Therefore, a highway construction safety accident early warning system and method are provided. Summary of the Invention

[0003] The purpose of the present invention is to provide a highway construction safety accident early warning system and method.

[0004] The object of the present invention can be achieved by the following technical solutions: a highway construction safety accident early warning system includes a monitoring center, the monitoring center is communicatively connected to a data detection module, a data processing module, a data analysis module, an early warning module and a feedback module;

[0005] The data detection module includes an area detection unit, a data detection unit, and a distance measurement unit; each of which is used to obtain an area image of the construction road site, construction environment parameters of the construction road site, and detect data of people or vehicles entering the construction road site area;

[0006] The data processing module is used to process the data acquired by the data detection module and send the processing results to the data analysis module;

[0007] The data analysis module is used to analyze the processing results of the data processing module, thereby judging the on-site environment of the construction highway and sending warning information to the warning module based on the judgment results;

[0008] The warning module is used to analyze the people or vehicles detected by the ranging unit according to the warning information of the data analysis module, and send the analysis results to the monitoring center, which then sends the warning information content to the feedback module;

[0009] The feedback module is used for on-site management personnel to receive the early warning information content from the monitoring center and process the early warning information content.

[0010] Furthermore, the monitoring center performs three-dimensional modeling of the construction scene based on the acquired regional images of the construction highway site to generate a three-dimensional model of the construction highway site; the monitoring center is also used to input basic information of on-site construction personnel, and obtain facial recognition reference images by performing neural network training on facial images in the basic information, and integrate all facial recognition reference images to form a facial recognition library.

[0011] Furthermore, the data detection unit includes several data detection terminals, and the process of the data detection unit obtaining construction environment parameters includes: installing the data detection terminal within the area of ​​the construction highway site, marking the position of the data detection terminal in the three-dimensional model of the construction highway site to form a three-dimensional construction layout diagram; forming a detection area with a radius of R1 with each data acquisition terminal as the center, and obtaining the average light intensity within the detection area.

[0012] Furthermore, the distance measuring unit is a high-definition camera, which is set at both ends of the highway at the construction site, and the distance between the distance measuring unit and the construction site is L.

[0013] Furthermore, the processing of the data acquired by the data detection module includes: the average light intensity GP in the detection area acquired by each data acquisition terminal i Compare with the light intensity threshold G0; i=1, 2, ..., n, n is an integer; when GP i When ≤G0, the data acquisition terminal is marked; the image data obtained by the ranging unit is de-marginalized, and a judgment is made on whether there is a person or a vehicle in the identified image data, and the facial information of the person and the driving speed CX of the vehicle are obtained.

[0014] Furthermore, the analysis process of the data analysis module includes: when the GPS data acquired by a data acquisition terminal i When ≤G0, all data acquisition terminals within the radius R2 of the data acquisition terminal are marked with the data acquisition terminal as the center, and the average light intensity GP detected by the marked data acquisition terminal is j Compare with the light intensity threshold G0; j = 1, 2, ..., m1, m1 is an integer; the statistical average light intensity GP j The number of data acquisition terminals m2 ≤ G0, 0 ≤ m2 ≤ m1; the illumination coefficient GX of a single data acquisition terminal is obtained by the above parameters i Then, the average illumination coefficient GP of the construction highway area is obtained. When GP≥P0, the construction highway site environment is judged to be dark, and an early warning message is sent to the early warning module. The P0 is the system preset illumination coefficient threshold.

[0015] Furthermore, the early warning module's analysis process of facial information includes: matching the acquired facial information with the facial recognition reference image in the facial recognition library. If the match is successful, the person is determined to be a permitted entrant; otherwise, the person is determined to be an illegal entrant, and a person intrusion early warning information is sent to the monitoring center.

[0016] Furthermore, when the early warning module analyzes the vehicle information, the process includes: when the early warning module receives the early warning information and the ranging unit detects the presence of a vehicle, the time XT at which the vehicle is expected to arrive at the construction road area is obtained by the formula XT=L / CX; then when XT≤t1, the early warning module sends a vehicle intrusion early warning information to the monitoring center; when the early warning module does not receive the early warning information and the ranging unit detects the presence of a vehicle, then when XT≤t0, the early warning module sends a vehicle intrusion early warning information to the monitoring center, where t0 and t1 are both time thresholds, and t1<t0.

[0017] Furthermore, when the monitoring center receives a warning message of a person breaking in or a vehicle breaking in, it sends a warning prompt to the communication terminal of the on-site manager.

[0018] Furthermore, the early warning method of the highway construction safety accident early warning system includes: setting up a ranging unit outside the construction highway area to detect people or vehicles about to enter the construction highway area, and sending early warning information to the monitoring center based on the detection results. The monitoring center sends the content of the early warning information to the terminal of the on-site manager, and the on-site manager processes it according to the content of the early warning information.

[0019] The beneficial effects of the present invention are as follows: by setting up a data detection unit to obtain environmental parameters of the construction road site, by analyzing the environmental parameters of the construction road site, the light intensity of the construction road area is judged, and then the personnel and vehicles entering the two ends of the construction road are monitored by the distance measuring unit, thereby avoiding non-construction personnel and vehicles from mistakenly entering the construction site due to poor light intensity, resulting in failure to quickly discover the construction site situation, and avoiding safety hazards to the construction site and the construction personnel at the construction site due to outsiders or vehicles mistakenly entering the construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0021] Figure 1 This is the principle block diagram of the highway construction safety accident early warning system. DETAILED DESCRIPTION

[0022] like Figure 1 As shown, the highway construction safety accident early warning system includes a monitoring center, which is connected to a data detection module, a data processing module, a data analysis module, an early warning module and a feedback module;

[0023] The data detection module includes an area detection unit, a data detection unit and a distance measurement unit;

[0024] The area detection unit is used to obtain an area image of the construction highway site and upload the obtained area image of the construction highway site to the monitoring center. The monitoring center performs three-dimensional modeling of the construction scene based on the area image of the construction highway site obtained by the area detection unit, generates a three-dimensional model of the construction highway site, and then saves the three-dimensional model in the monitoring center; the monitoring center is also used to enter the basic information of the on-site construction personnel, the basic information of the on-site construction personnel includes name, age, gender, real-name authenticated mobile phone number and facial image, and obtains facial recognition reference image by performing neural network training on the facial image, and integrates all facial recognition reference images to form a facial recognition library.

[0025] The data detection unit includes several data detection terminals for obtaining construction environment parameters at the construction site of the highway. The specific process includes the following steps:

[0026] Step S1: Install the data detection terminal within the area of ​​the highway construction site, mark the location of the data acquisition terminal, and number the data acquisition terminal as i, where i=1, 2, ..., n, where n is an integer;

[0027] Step S2: marking the location of the data detection terminal in the three-dimensional model of the highway construction site to form a three-dimensional construction layout diagram;

[0028] Step S3: With each data acquisition terminal as the center, a detection area with a radius of R1 is formed, and the average light intensity in the detection area is obtained. The average light intensity in each detection area is marked as GP i ;

[0029] Step S4: Send the data acquired in steps S1-S3 to the data processing module;

[0030] The ranging unit is a high-definition camera installed at both ends of the highway construction site, and the distance between the ranging unit and the construction highway site is L. The ranging unit is used to detect the data of people or vehicles entering the construction highway site area. The specific process includes: image acquisition at the entrances at both ends of the construction highway, and then sending the acquired image data to the data processing module.

[0031] The data processing module is used to process the data acquired by the data detection module. The specific processing process includes the following steps:

[0032] Step C1: setting a light intensity threshold G0, and comparing the average light intensity within the detection area obtained by each data acquisition terminal with the light intensity threshold;

[0033] Step C2: Become a GP i When ≤G0, the data acquisition terminal is marked;

[0034] Step C3: performing de-marginalization processing on the image data obtained by the ranging unit, and identifying whether there is a person or a vehicle in the image data;

[0035] Step C4: When a person appears in the image data, the facial information of the person is obtained and sent to the data analysis module; when a vehicle appears in the image data, the vehicle's driving speed CX is obtained and sent to the data analysis module.

[0036] The data analysis module is used to analyze the processing results of the data processing module. The specific analysis process includes the following steps:

[0037] Step F1: When a data collection terminal obtains the GP i When ≤G0, all data collection terminals within the radius R2 of the data collection terminal are marked with the data collection terminal as the center, and each data collection terminal is marked as j, j = 1, 2, ..., m1, where m1 is an integer;

[0038] Step F2: Obtain the average light intensity GP detected by the marked data acquisition terminal j and compared with the light intensity threshold;

[0039] Step F3: Average light intensity GP j ≤G0 data collection terminal to perform statistics and record the total number as m2, where m2 is an integer and 0≤m2≤m1;

[0040] Step F4: By formula GX i =m2 / m1 to obtain the illumination coefficient GX of a single data collection terminal i ;

[0041] Step F5: By formula The average illumination coefficient GP of the construction road area is obtained. When GP≥P0, the construction road site environment is judged to be dark, and an early warning message is sent to the early warning module; when GP<P0, the construction road site environment is judged to be normal, and P0 is the system preset illumination coefficient threshold.

[0042] The early warning module is used to issue an early warning to the construction site based on the early warning information of the data analysis module. The specific process includes the following steps:

[0043] Step Y1: setting time thresholds t0 and t1 respectively; when the early warning module does not receive the early warning information, the time threshold is t0; when the early warning module receives the early warning information, the time threshold is t1;

[0044] Step Y2: Match the acquired facial information with the facial recognition reference image in the facial recognition library. If the match is successful, the person is determined to be a permitted person. Otherwise, the person is determined to be an illegal entrant and a person intrusion warning message is sent to the monitoring center.

[0045] It should be further explained that when the ranging unit fails to obtain complete facial information, it will automatically determine that the person is an illegal entrant;

[0046] Step Y3: When the early warning module receives the early warning information and the ranging unit detects the presence of a vehicle, the estimated time XT of the vehicle arriving at the construction road area is obtained by the formula XT=L / CX; then when XT≤t1, the early warning module sends a vehicle intrusion early warning information to the monitoring center; when the early warning module does not receive the early warning information and the ranging unit detects the presence of a vehicle, then when XT≤t0, the early warning module sends a vehicle intrusion early warning information to the monitoring center.

[0047] During the specific implementation process, it needs to be further explained that the data detection unit is used to obtain the environmental parameters of the construction road site, and by analyzing the environmental parameters of the construction road site, the light intensity of the construction road area is determined. Then, the personnel and vehicles entering the two ends of the construction road are monitored through the ranging unit, so as to avoid non-construction personnel and vehicles from entering by mistake, thereby posing a safety hazard to the construction site.

[0048] The feedback module is used for on-site managers to receive warning information from the monitoring center and process the content of the warning information, including: when the monitoring center receives warning information about human intrusion or vehicle intrusion, it sends a warning prompt to the on-site manager's communication terminal, and the communication terminal includes a mobile phone, walkie-talkie and PC terminal.

[0049] The early warning method of the highway construction safety accident early warning system includes: setting up a distance measurement unit outside the construction highway area to detect people or vehicles about to enter the construction highway area, and sending early warning information to the monitoring center based on the detection results. The monitoring center sends the early warning information content to the terminal of the on-site manager, who will process it according to the content of the early warning information.

[0050] The above formulas are all calculated by removing dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and preset thresholds in the formula are set by technicians in this field according to actual conditions or obtained by simulating a large amount of data.

[0051] In the embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses, and methods can be implemented in other ways. For example, the device embodiments described above are merely illustrative. For example, the module division is merely a logical functional division, and other division methods may be used in actual implementation. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed across multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of this embodiment.

[0052] Finally, it should be noted that the above embodiments are only used to illustrate the technical method of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. Highway construction safety accident early warning system, including a monitoring center, characterized by: The monitoring center is connected to the data detection module, data processing module, data analysis module, early warning module and feedback module; The data detection module includes an area detection unit, a data detection unit, and a distance measurement unit; each of which is used to obtain an area image of the construction road site, construction environment parameters of the construction road site, and detect data of people or vehicles entering the construction road site area; The data processing module is used to process the data acquired by the data detection module and send the processing results to the data analysis module; The data analysis module is used to analyze the processing results of the data processing module, thereby judging the on-site environment of the construction highway and sending warning information to the warning module based on the judgment results; The warning module is used to analyze the people or vehicles detected by the ranging unit according to the warning information of the data analysis module, and send the analysis results to the monitoring center, which then sends the warning information content to the feedback module; The feedback module is used for on-site management personnel to receive the warning information content from the monitoring center and process the warning information content; The data detection unit includes a plurality of data detection terminals. The process of the data detection unit obtaining construction environment parameters includes: installing the data detection terminals within the area of ​​the construction highway site, marking the locations of the data detection terminals within a three-dimensional model of the construction highway site to form a three-dimensional construction layout diagram; forming a detection area with a radius R1 with each data acquisition terminal as the center, and obtaining the average light intensity within the detection area; The processing of the data obtained by the data detection module includes: the average light intensity GP in the detection area obtained by each data acquisition terminal i Compare with the light intensity threshold G0; i=1, 2, ..., n, n is an integer; when GP i When ≤G0, the data acquisition terminal is marked; the image data obtained by the ranging unit is de-marginalized, and the presence of a person or vehicle in the image data is judged, and the facial information of the person and the driving speed CX of the vehicle are obtained; The analysis process of the data analysis module includes: when the GPS data acquired by a data acquisition terminal is i When ≤G0, all data acquisition terminals within the radius R2 of the data acquisition terminal are marked with the data acquisition terminal as the center, and the average light intensity GP detected by the marked data acquisition terminal is j Compare with the light intensity threshold G0; j = 1, 2, ..., m1, m1 is an integer; the statistical average light intensity GP j The number of data acquisition terminals m2 ≤ G0, 0 ≤ m2 ≤ m1; the illumination coefficient GX of a single data acquisition terminal is obtained through m2 and m1 i =m2 / m1; then obtain the average illumination coefficient GP of the construction road area. When GP≥P0, it is judged that the construction road site environment is dark, and an early warning message is sent to the early warning module. The P0 is the system preset illumination coefficient threshold.

2. The highway construction safety accident early warning system according to claim 1 is characterized in that: The monitoring center performs three-dimensional modeling of the construction scene based on the regional images of the construction highway site obtained to generate a three-dimensional model of the construction highway site; the monitoring center is also used to input the basic information of the on-site construction personnel, and obtain facial recognition reference images by performing neural network training on the facial images in the basic information, and integrate all facial recognition reference images to form a facial recognition library.

3. The highway construction safety accident early warning system according to claim 1, characterized in that: The distance measuring unit is a high-definition camera, which is set at both ends of the highway at the construction site, and the distance between the distance measuring unit and the construction site is L.

4. The highway construction safety accident early warning system according to claim 2, characterized in that: The early warning module's facial information analysis process includes: matching the acquired facial information with the facial recognition reference image in the facial recognition library. If the match is successful, the person is determined to be a permitted entrant; otherwise, the person is determined to be an illegal entrant, and a person intrusion warning information is sent to the monitoring center.

5. The highway construction safety accident early warning system according to claim 4 is characterized in that: When the early warning module analyzes vehicle information, the following process is performed: when the early warning module receives the early warning information and the ranging unit detects the presence of a vehicle, the estimated time XT of the vehicle arriving at the construction road area is obtained by the formula XT=L / CX, where L is the distance from the ranging unit to the construction road site and CX is the vehicle's speed; when XT≤t1, the early warning module sends a vehicle intrusion early warning message to the monitoring center; when the early warning module does not receive the early warning information and the ranging unit detects the presence of a vehicle, when XT≤t0, the early warning module sends a vehicle intrusion early warning message to the monitoring center, where t0 and t1 are both time thresholds and t1<t0.

6. The highway construction safety accident early warning system according to claim 5, characterized in that: When the monitoring center receives warning information about a person or vehicle intrusion, it sends a warning prompt to the communication terminal of the on-site manager.

7. The early warning method of the highway construction safety accident early warning system according to any one of claims 1 to 6, characterized in that: include: By setting up a ranging unit outside the construction road area, people or vehicles about to enter the construction road area can be detected, and early warning information is sent to the monitoring center based on the detection results. The monitoring center sends the early warning information content to the terminal of the on-site manager, who will process it according to the content of the early warning information.

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