A vehicle monitoring and alarm processing method and system based on sensing optical cable guardrails

Abstract

The application provides a vehicle monitoring and alarm processing method and system based on a sensing optical cable fence, and belongs to the technical field of monitoring and early warning, and specifically comprises the following steps: determining the number of construction personnel of a risk area in different construction dates based on a construction project of the risk area, and determining a monitoring and early warning setting strategy of a sensing optical cable fence of the risk area based on the change of the construction personnel of the risk area when the risk area does not have a safety risk in combination with the number of construction personnel in an abnormal visibility period, determining a processing mode of adjustment and judgment of the monitoring and early warning setting strategy of the sensing optical cable fence of the risk area by using the traffic flow, visibility and similar conditions of the risk area in different periods when an impact early warning accident occurs in different areas, and improving the reliability and timeliness of the monitoring and early warning processing.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of monitoring and early warning, and particularly relates to a vehicle monitoring and alarm processing method and system based on a sensing optical cable guardrail. BACKGROUND

[0002] In the current rapid urbanization process, traffic guide and construction has become a key link in the construction and maintenance of urban infrastructure. However, the safety problem of the construction area has always been a sharp sword hanging over the heads of construction personnel. In recent years, with the continuous rise of urban traffic flow and the increasing complexity of the construction environment, the safety management difficulty of the construction area has become like a snowball, rolling bigger and bigger. According to relevant data, the number of secondary accidents in the construction area caused by vehicle impact on guardrails or iron horses has shown an increasing trend year by year in the past five years. These accidents not only pose a serious threat to the life safety of construction personnel, but also have a great impact on the normal traffic order of the city.

[0003] To solve the above technical problems, in the invention patent application CN201910225828.X "Highway guardrail alarm system and method based on optical fiber micro-vibration", the sensing optical cable terminal box converts the optical wave signal into an electrical signal and transmits it to the main controller. The host computer processes the received digital signal and locates the impact accident according to the optical wave change of the defense area, and then determines the accident position, so as to realize timely response and rescue and improve the operation safety level of the highway. However, it has the following technical defects:

[0004] The prior art ignores the analysis results of the vehicle monitoring and alarm data of the sensing optical cable guardrail to realize the optimization processing of the monitoring and early warning strategy of the construction area. Specifically, due to the difference of light and traffic flow, the probability of accidents of different sensing optical cable guardrails in different time periods is different. Therefore, how to determine the monitoring and early warning strategy of the construction area becomes a technical problem to be solved.

[0005] The present application provides a vehicle monitoring and alarm processing method and system based on a sensing optical cable guardrail. SUMMARY

[0006] To achieve the purpose of the present application, the present application adopts the following technical solutions:

[0007] Specifically, the present application provides a vehicle monitoring and alarm processing method based on a sensing optical cable guardrail, which specifically comprises:

[0008] S1 obtains the construction date of the target construction area, and based on the prediction results of the weather data of different construction dates, determines whether the visibility of the target construction area can meet the requirements, and if so, proceeds to the next step;

[0009] S2 divides the target construction area into multiple areas according to the occupied road data, and determines the risk area in the area according to the historical traffic volume data of the occupied road in the different areas in the visibility abnormal period;

[0010] S3 determines the number of construction personnel in the risk area in different construction dates based on the construction project of the risk area, and determines the monitoring and early warning setting strategy of the sensing optical cable guardrail of the risk area according to the change of the construction personnel in the risk area when the risk area does not have a safety risk in the visibility abnormal period.

[0011] S4 determines the processing mode of the adjustment judgment of the monitoring and early warning setting strategy of the sensing optical cable guardrail of the risk area by using the traffic volume, visibility and similar situation of the risk area in different periods when the impact early warning accident occurs in different areas.

[0012] The beneficial effects of the present application are:

[0013] The monitoring and early warning setting strategy of the sensing optical cable guardrail of the risk area is determined according to the change of the construction personnel in the risk area, so that the difference in the influence of the risk area caused by the change of the construction personnel in the risk area in different construction dates is fully considered, that is, the reliability of the monitoring and early warning processing of the construction personnel is ensured, and the waste of the monitoring and early warning device caused by the same monitoring and early warning device strategy in the risk area with less construction personnel and low stability of the construction personnel is avoided.

[0014] The processing mode of the adjustment judgment of the monitoring and early warning setting strategy of the sensing optical cable guardrail of the risk area is determined by using the traffic volume, visibility and similar situation of the risk area in different periods when the impact early warning accident occurs in different areas, which avoids the technical problem of low setting stability of the monitoring and early warning setting strategy caused by real-time adjustment judgment processing of the monitoring and early warning setting strategy of the sensing optical cable guardrail, realizes accurate evaluation of the risk area in future time from the associated accident data of the impact early warning accident, and ensures the accuracy of the adjustment processing of the monitoring and early warning device of the risk area with high risk, and also ensures the stability of the setting processing of the whole monitoring and early warning device.

[0015] Further technical solutions are that the construction date is determined according to the construction plan of the construction area.

[0016] Further technical solutions are that the prediction result of the weather data includes the prediction result of the visibility in different periods in different construction dates.

[0017] The further technical scheme is characterized in that determining whether the visibility of the target construction area meets the requirement includes:

[0018] determining the prediction result of the visibility in different time periods in different construction dates according to the prediction result of the weather data in different construction dates;

[0019] determining a time period with visibility less than a preset visibility threshold as an abnormal visibility time period according to the prediction result of the visibility in different time periods;

[0020] determining whether the visibility of the target construction area meets the requirement according to the proportion of the number of abnormal visibility time periods in different construction dates.

[0021] The further technical scheme is characterized in that when the proportion of the number of abnormal visibility time periods in different construction dates is greater than a preset proportion of the number of abnormal time periods, it is determined that the visibility of the target construction area does not meet the requirement.

[0022] The further technical scheme is characterized in that when the visibility of the target construction area does not meet the requirement, the setting of the sensing optical cable fence is processed based on a preset distance from the target construction area.

[0023] The further technical scheme is characterized in that the method for determining the monitoring and early warning setting strategy of the sensing optical cable fence in the risk area includes:

[0024] determining the number of construction personnel in different construction dates of the risk area according to the change of the construction personnel in the risk area;

[0025] determining a date with a change amount greater than a preset change amount as a construction personnel change date according to the change data of the number of construction personnel between adjacent dates;

[0026] determining the monitoring and early warning setting strategy of the sensing optical cable fence in the risk area based on the proportion of the number of construction personnel change dates.

[0027] The further technical scheme is characterized in that the monitoring and early warning setting strategy of the sensing optical cable fence in the risk area is determined based on the proportion of the number of construction personnel change dates, and specifically includes:

[0028] determining a basic setting distance of the risk area according to a preset corresponding relationship between the average of the number of construction personnel in different construction dates of the risk area and the setting distance;

[0029] determining a corrected setting distance of the sensing optical cable fence in the risk area according to the product of the basic setting distance and the proportion of the number of construction personnel change dates;

[0030] The setting processing of the sensing optical cable fence of the risk area is performed based on the modified setting distance of the risk area.

[0031] The further technical solution is to determine the processing mode of the adjustment and judgment of the monitoring and early warning setting strategy of the sensing optical cable fence of the risk area.

[0032] Real-time acquisition of impact warning accidents in different areas, when an impact warning accident occurs, the traffic volume and visibility corresponding to the impact warning accident are acquired;

[0033] Based on the traffic volume and visibility corresponding to the impact warning accident, determine the construction period with similar traffic volume and visibility in the future construction date of the risk area, and take it as a similar construction period;

[0034] According to the number of similar construction periods, determine the processing mode of the adjustment and judgment of the monitoring and early warning setting strategy of the sensing optical cable fence of the risk area.

[0035] The further technical solution is that the similar construction period is a construction period with a deviation amount of traffic volume and visibility corresponding to the impact warning accident within a preset deviation amount interval.

[0036] The further technical solution is that when the adjustment and judgment of the monitoring and early warning setting strategy of the sensing optical cable fence of the risk area is needed, the following contents are included:

[0037] Determine the similar construction period of different impact warning accidents based on the traffic volume and visibility corresponding to the impact warning accident of the target construction area in the target construction area in the nearest preset time period;

[0038] According to the number of similar construction periods of different impact warning accidents, determine the adjustment mode of the monitoring and early warning setting strategy of the sensing optical cable fence of the risk area.

[0039] The further technical solution is to determine the adjustment mode of the monitoring and early warning setting strategy of the sensing optical cable fence of the risk area according to the number of similar construction periods of different impact warning accidents, which specifically includes:

[0040] When the number of similar construction periods of different impact warning accidents is greater than the preset similar period number threshold, the setting processing of the sensing optical cable fence of the risk area is performed based on the preset distance of the risk area;

[0041] When the number of similar construction periods of different impact warning accidents is not greater than the preset similar period number threshold, the adjustment processing of the monitoring and early warning setting strategy of the sensing optical cable fence of the risk area is not needed.

[0042] In a second aspect, the present invention provides a computer system comprising: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the above-described vehicle monitoring and alarm processing method based on a sensor-optical cable guardrail when running the computer program.

[0043] Other features and advantages will be set forth in the following description, and the objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0044] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0045] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0046] Figure 1 This is a flowchart of a vehicle monitoring and alarm processing method based on a sensor-optical cable guardrail;

[0047] Figure 2 This is a flowchart to determine whether the visibility of the target construction area meets the requirements;

[0048] Figure 3 This is a flowchart illustrating the method for identifying risk areas within a region;

[0049] Figure 4 This is a flowchart that determines that there is no safety risk in the risk area;

[0050] Figure 5 It is a framework diagram of a computer system. Detailed Implementation

[0051] To enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this specification, and not all embodiments. Based on the embodiments of this specification, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of this specification.

[0052] In this application, based on the similarity of visibility and traffic flow between the construction area and other construction areas during future construction periods, the number of high-risk construction periods is determined. The number of high-risk construction periods is then used to determine whether the monitoring and early warning setting strategy for the sensor-guided fiber optic cable guardrail in the high-risk area needs to be adjusted, thereby improving the reliability of the monitoring and early warning processing.

[0053] If the average visibility over different construction dates is less than the preset visibility threshold, then the visibility in the target construction area is determined to be insufficient.

[0054] The risk area is the region where the average historical traffic flow during periods of abnormal visibility is greater than the preset traffic flow threshold.

[0055] If the number of construction workers exceeds the preset threshold for the number of abnormal visibility periods, but is not within the preset range for the number of abnormal periods, then there is no safety risk in the risk area.

[0056] Based on the changes in the number of construction workers in the risk area, determine the number of construction workers in the risk area on different construction dates. Based on the change data of the number of construction workers between adjacent dates, determine the dates where the change is greater than the preset change and use them as the construction worker change dates. When the proportion of the number of construction worker change dates is less than the preset proportion of the number of change dates, determine the monitoring and early warning setting strategy for the sensor fiber optic cable guardrail in the risk area based on the proportion of the number of construction worker change dates.

[0057] Based on the traffic flow and visibility corresponding to the collision warning accident, determine the construction periods with similar traffic flow and visibility in the risk area on future construction dates, and use these as similar construction periods. Based on the number of similar construction periods in future construction dates, determine the adjustment and judgment method for the monitoring and early warning setting strategy of the sensor fiber optic cable guardrail in the risk area.

[0058] Example 1 Figure 1 As shown, this application provides a vehicle monitoring and alarm processing method based on a sensor-driven optical cable guardrail, specifically including:

[0059] S1 obtains the construction date of the target construction area. Based on the forecast results of weather data for different construction dates, if it is determined that the visibility of the target construction area can meet the requirements, proceed to the next step.

[0060] Furthermore, the construction date is determined based on the construction plan for the construction area.

[0061] Specifically, the weather data prediction results include visibility prediction results for different time periods on different construction dates.

[0062] In one embodiment, such as Figure 2 As shown, determining that the visibility of the target construction area meets the requirements specifically includes:

[0063] Based on the forecast results of weather data for different construction dates, determine the forecast results of visibility at different times on different construction dates;

[0064] Based on the visibility prediction results for different time periods, the time periods when the visibility is less than the preset visibility threshold are identified and designated as abnormal visibility time periods.

[0065] Based on the percentage of periods with abnormal visibility during different construction dates, determine whether the visibility in the target construction area meets the requirements.

[0066] Furthermore, if the proportion of abnormal visibility periods in different construction dates is greater than the preset proportion of abnormal periods, then it is determined that the visibility in the target construction area cannot meet the requirements.

[0067] It should be noted that when the visibility of the target construction area does not meet the requirements, the sensor fiber optic cable guardrail will be set up based on the preset distance from the target construction area.

[0068] Optionally, determining that the visibility of the target construction area meets the requirements specifically includes:

[0069] S11 uses the weather data prediction results for different construction dates to determine the visibility prediction results for different time periods on different construction dates. Based on the visibility prediction results for different time periods, it determines the time periods when the visibility is less than a preset visibility threshold and regards them as visibility abnormal time periods. It then determines the target overlapping time periods on different construction dates based on the overlap between the visibility abnormal time periods and the target time periods.

[0070] S12 determines the visibility anomaly coefficient for different construction dates based on the proportion of periods with abnormal visibility in different construction dates, the number of periods with overlapping targets, and the visibility in different periods with abnormal visibility.

[0071] S13 determines the regional visibility anomaly value of the target construction area based on the visibility anomaly coefficient in different construction dates, and determines whether the visibility of the target construction area can meet the requirements based on the regional visibility anomaly value.

[0072] Furthermore, the target time period is determined based on the planned construction time periods within different construction dates.

[0073] It is understood that the range of the abnormal visibility value of the target construction area is between 0 and 1. When the abnormal visibility value of the target construction area is greater than the preset abnormal visibility threshold, it is determined that the visibility of the target construction area cannot meet the requirements.

[0074] Optionally, step S11 above includes the following:

[0075] S111 uses the weather data prediction results for different construction dates to determine the visibility prediction results for different time periods on different construction dates. Based on the visibility prediction results for different time periods, the time periods with visibility less than a preset visibility threshold are identified and designated as abnormal visibility time periods. If the sum of abnormal visibility time periods on different construction dates does not meet the requirements, it is determined that the visibility of the target construction area cannot meet the requirements. If the sum of abnormal visibility time periods on different construction dates meets the requirements, proceed to step S112.

[0076] S112 determines the target overlapping time periods in different construction dates based on the overlap between the abnormal visibility time periods and the target time periods. When the number and sum of the target overlapping time periods in different construction dates meet the requirements, the process proceeds to step S113. When the number and sum of the target overlapping time periods in different construction dates do not meet the requirements, it is determined that the visibility of the target construction area does not meet the requirements.

[0077] S113 Based on the average number of target overlapping time periods in different construction dates, if the average number of target overlapping time periods in different construction dates is less than the preset target overlapping time period threshold, proceed to step S114; if the average number of target overlapping time periods in different construction dates is not less than the preset target overlapping time period threshold, proceed to step S12.

[0078] S114 When the average number of abnormal visibility periods in different construction dates is less than the preset threshold for the number of abnormal visibility periods, it is determined that the visibility of the target construction area can meet the requirements. When the average number of abnormal visibility periods in different construction dates is not less than the preset threshold for the number of abnormal visibility periods, proceed to step S12.

[0079] Optionally, step S12 above includes the following:

[0080] S121 Obtain the number of target overlapping time periods in different construction dates. If there are construction dates where the number of target overlapping time periods does not meet the requirements, proceed to step S122. If there are no construction dates where the number of target overlapping time periods does not meet the requirements, proceed to step S123.

[0081] S122 When the number of construction dates that do not meet the requirements of the number of overlapping target time periods is greater than the preset threshold for the number of construction dates, it is determined that the visibility of the target construction area does not meet the requirements. When the number of construction dates that do not meet the requirements of the number of overlapping target time periods is not greater than the preset threshold for the number of construction dates, proceed to step S123.

[0082] S123 Obtain the percentage of the number of target overlapping time periods and target time periods in different construction dates, and use it as the percentage of target time periods. If the number of construction dates with a target time period percentage greater than the preset target time period percentage does not meet the requirements, it is determined that the visibility of the target construction area cannot meet the requirements. If the number of construction dates with a target time period percentage greater than the preset target time period percentage meets the requirements, proceed to step S124.

[0083] S124 determines the visibility anomaly coefficient for different construction dates based on the proportion of abnormal visibility periods in different construction dates, the number of overlapping target periods, and the visibility during different abnormal visibility periods. When the average of the visibility anomaly coefficients for different construction dates is greater than the preset anomaly coefficient threshold, it is determined that the visibility of the target construction area cannot meet the requirements. When the average of the visibility anomaly coefficients for different construction dates is not greater than the preset anomaly coefficient threshold, proceed to step S13.

[0084] S2 divides the target construction area into multiple areas based on the road occupancy data, and uses historical traffic flow data of the occupied roads in different areas during periods of abnormal visibility to determine the risk areas within the areas;

[0085] Furthermore, the target construction area is divided into multiple zones, specifically including:

[0086] Areas occupying the same road within the target construction area are grouped into the same area.

[0087] Specifically, such as Figure 3 As shown, the method for determining the risk area within the region is as follows:

[0088] Using historical traffic flow data of occupied roads in the area during periods of abnormal visibility, determine the average traffic flow during periods of abnormal visibility on different dates;

[0089] The overlap between the abnormal visibility period and the target period is used to determine the target overlap period for different construction dates, and the average traffic flow during the target overlap period for different construction dates is used to determine the traffic flow risk period for different construction dates.

[0090] Based on the number of traffic flow risk periods in the area on different construction dates, the average number of traffic flow risk periods on different construction dates is determined and used as the average risk period value. Based on the average risk period value, it is determined whether the area is a risk area.

[0091] Furthermore, the traffic flow risk period is the target overlapping period when the average traffic flow is greater than the preset traffic flow threshold.

[0092] It is understood that when the average number of risk periods in the area is less than a preset threshold for the number of risk periods, the area is determined not to be a risk area.

[0093] It should be noted that when the area is not a risk area, the sensor fiber optic cable guardrail is set up based on the second preset distance from the target construction area.

[0094] Furthermore, the preset distance is greater than the second preset distance.

[0095] S3, based on the construction projects in the risk area, determines the number of construction workers in the risk area on different construction dates, and, combined with the number of construction workers during periods of abnormal visibility, determines that there is no safety risk in the risk area. Then, based on the changes in the number of construction workers in the risk area, it determines the monitoring and early warning setting strategy for the sensor fiber optic cable guardrail in the risk area.

[0096] In one possible embodiment, such as Figure 4 As shown, determining that the risk area does not pose a security risk specifically includes:

[0097] Based on the number of construction workers in the risk area on different construction dates, determine the average number of construction workers in the risk area on different construction dates, and use it as the average number of construction workers.

[0098] The average number of construction workers in the risk area during periods of abnormal visibility is determined based on the number of construction workers in those periods, and this average number is used as the average number of workers to be screened.

[0099] The risk impact coefficient of the risk area is determined by averaging the average number of construction workers and the average number of screened workers, and the existence of safety risks in the risk area is determined based on the risk impact coefficient.

[0100] Furthermore, when the risk impact coefficient is greater than a preset risk impact coefficient threshold, it is determined that there is a safety risk in the risk area.

[0101] Specifically, when a safety risk exists in the risk area, the sensor fiber optic cable guardrail for the risk area is set up based on a preset distance from the risk area.

[0102] Specifically, when the risk impact coefficient is greater than the preset risk impact coefficient threshold, the area is determined to have a safety risk.

[0103] S4 uses the traffic flow and visibility of collision warning accidents in different areas and the similarity of the risk area at different times to determine the adjustment and judgment of the monitoring and early warning setting strategy of the sensor optical cable guardrail in the risk area.

[0104] Furthermore, the method for determining the monitoring and early warning setting strategy for the sensor-operated optical cable fence in the risk area is as follows:

[0105] Based on the changes in the number of construction workers in the risk area, determine the number of construction workers in the risk area on different construction dates;

[0106] Based on the data on the change in the number of construction workers between adjacent dates, the date on which the change exceeds the preset change is determined and used as the date of the change in the number of construction workers.

[0107] Based on the percentage of construction workers changing dates, a monitoring and early warning strategy for the sensor-guided fiber optic cable guardrail in the risk area is determined.

[0108] Specifically, based on the percentage of construction workers changing dates, a monitoring and early warning strategy for the sensor-operated fiber optic cable guardrail in the risk area is determined, including:

[0109] The basic installation distance of the risk area is determined by the average number of construction workers in the risk area on different construction days and the preset correspondence between the installation distance and the installation distance.

[0110] The corrected installation distance of the sensor fiber optic cable guardrail in the risk area is determined by multiplying the basic installation distance by the percentage of the number of days the construction personnel changed.

[0111] Based on the corrected distance from the risk area, the sensor fiber optic cable guardrail for the risk area is installed.

[0112] In one possible embodiment, the method for determining the adjustment and judgment of the monitoring and early warning setting strategy of the sensor-guided fiber optic fence in the risk area is as follows:

[0113] Real-time acquisition of collision warning incidents in different areas; when a collision warning incident occurs, acquisition of the traffic flow and visibility corresponding to the collision warning incident.

[0114] Based on the traffic flow and visibility corresponding to the collision warning accident, determine the construction periods with similar traffic flow and visibility in the risk area on future construction dates, and use them as similar construction periods;

[0115] Based on the number of similar construction periods, determine the adjustment and judgment method for the monitoring and early warning setting strategy of the sensor fiber optic cable guardrail in the risk area.

[0116] Furthermore, the similar construction period refers to the construction period during which the deviation in traffic flow and visibility corresponding to the collision warning accident is within a preset deviation range.

[0117] Specifically, based on the number of similar construction periods, the adjustment and judgment method for the monitoring and early warning setting strategy of the sensor-operated optical cable fence in the risk area is determined, including:

[0118] When the number of similar construction periods is less than the preset threshold number of construction periods, it is determined that the monitoring and early warning setting strategy of the sensor optical cable guardrail in the risk area does not need to be adjusted.

[0119] When the number of similar construction periods is not less than the preset threshold for the number of construction periods, it is determined whether the number of similar construction periods is within the preset range for the number of similar construction periods. If so, based on the collision warning accident of the target construction area within the most recent preset time period, it is determined whether the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area needs to be adjusted. If not, it is determined that the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area needs to be adjusted.

[0120] It should be noted that, based on the most recent impact warning incidents in the target construction area within the preset time period, the determination of whether to adjust the monitoring and early warning settings strategy for the sensor-operated fiber optic cable guardrail in the risk area specifically includes:

[0121] When the number of impact warning accidents in the target construction area within the most recent preset time period exceeds the preset accident number threshold, it is determined that the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area needs to be adjusted.

[0122] If the number of impact warning accidents in the target construction area within the most recent preset time period is not greater than the preset accident number threshold, then it is determined that there is no need to adjust the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area.

[0123] Furthermore, when it is necessary to adjust the monitoring and early warning setting strategy for the sensor-operated optical cable fence in the aforementioned risk area, the following should be considered:

[0124] Based on the traffic flow and visibility corresponding to the collision warning accidents in the target construction area within the most recent preset time period, similar construction periods for different collision warning accidents are determined.

[0125] Based on the number of similar construction periods for different impact warning accidents, determine the adjustment method for the monitoring and early warning setting strategy of the sensor-guided fiber optic cable guardrail in the risk area.

[0126] It is understandable that the adjustment method for the monitoring and early warning setting strategy of the sensor-guided fiber optic cable guardrail in the risk area is determined based on the number of similar construction periods of different impact warning accidents, specifically including:

[0127] When the sum of the number of similar construction periods for different impact warning accidents exceeds the preset threshold for the number of similar periods, the sensor fiber optic cable guardrail in the risk area will be set up based on the preset distance from the risk area.

[0128] When the sum of the number of similar construction periods for different impact warning accidents is not greater than the preset threshold for the number of similar periods, there is no need to adjust the monitoring and warning setting strategy for the sensor-guided optical cable guardrail in the risk area.

[0129] Example 2, Second aspect, such as Figure 5 As shown, the present invention provides a computer system, including: a memory and a processor connected in communication, and a computer program stored in the memory and capable of running on the processor. When the processor runs the computer program, it executes the above-described vehicle monitoring and alarm processing method based on a sensor-optical cable guardrail.

[0130] Optionally, determining that the visibility of the target construction area meets the requirements specifically includes:

[0131] Based on the forecast results of weather data for different construction dates, determine the forecast results of visibility at different times on different construction dates;

[0132] Based on the visibility prediction results for different time periods, the time periods when the visibility is less than the preset visibility threshold are identified and designated as abnormal visibility time periods.

[0133] Based on the maximum percentage of periods with abnormal visibility during different construction dates, determine whether the visibility in the target construction area meets the requirements.

[0134] Furthermore, if the maximum percentage of abnormal visibility periods is greater than the percentage of the remainder abnormal visibility periods, then the visibility of the target construction area is determined to be insufficient.

[0135] Example 3 In another embodiment, determining that the risk area does not pose a security risk specifically includes:

[0136] Based on the number of construction workers in the risk area on different construction dates, and by multiplying the number of construction workers by the proportion of periods with abnormal visibility on the corresponding construction dates, the personnel risk coefficient for different construction dates is determined.

[0137] Based on the number of construction workers in the risk area during periods of abnormal visibility, determine the construction dates when the number of construction workers during periods of abnormal visibility exceeds a preset threshold, and designate these dates as risk dates.

[0138] The risk impact coefficient of the risk area is determined by multiplying the average risk coefficient of personnel on different construction dates by the proportion of risk dates in the total number of construction dates. Based on the risk impact coefficient, it is determined whether there is a safety risk in the risk area.

[0139] Example 4 In another possible embodiment, the method for determining the adjustment judgment of the monitoring and early warning setting strategy of the sensor optical cable fence in the risk area is as follows:

[0140] S41 acquires collision warning accidents in different areas in real time, acquires the traffic flow and visibility corresponding to the collision warning accidents, and based on the traffic flow and visibility corresponding to the collision warning accidents, determines the construction period with similar traffic flow and visibility in the risk area on future construction dates, and uses it as the similar construction period.

[0141] Understandably, before proceeding to the next step, it is necessary to further determine whether adjusting the monitoring and early warning settings for the sensor-operated fiber optic cable guardrail in the aforementioned risk area is unnecessary if no collision warning incident occurs.

[0142] Furthermore, in the event of a collision warning: if the number of similar construction periods in the future construction dates of the risk area does not meet the requirements, it is determined that the monitoring and warning setting strategy for the sensor-guided fiber optic cable guardrail in the risk area needs to be adjusted; if the number of similar construction periods in the future construction dates of the risk area meets the requirements, and if there are construction dates where the proportion of similar construction periods does not meet the requirements, it is determined that the monitoring and warning setting strategy for the sensor-guided fiber optic cable guardrail in the risk area needs to be adjusted.

[0143] Additionally, it should be noted that when there are no construction dates where the proportion of similar construction periods does not meet the requirements, and when the average number of similar construction periods in future construction dates is less than the preset threshold for the number of similar construction periods, it is determined that no adjustment judgment is needed for the monitoring and early warning setting strategy of the sensor optical cable guardrail in the risk area. When the average number of similar construction periods in future construction dates is not less than the preset threshold for the number of similar construction periods, proceed to the next step.

[0144] S42 determines the date risk coefficient for different construction dates based on the number of similar construction periods in different future construction dates and the similarity of traffic flow and visibility between different periods and the collision warning accident.

[0145] It should be noted that if there are future construction dates with a date risk coefficient that does not meet the requirements, then it is determined that the monitoring and early warning setting strategy for the sensor-guided optical cable fence in the risk area needs to be adjusted. If there are no future construction dates with a date risk coefficient that does not meet the requirements, proceed to the next step.

[0146] S43 determines the monitoring risk coefficient of the risk area based on the date risk coefficient of different construction dates, and determines the adjustment and judgment processing method of the monitoring and early warning setting strategy of the sensor optical cable guardrail based on the monitoring risk coefficient.

[0147] Furthermore, the processing method for adjusting the monitoring and early warning setting strategy of the sensor optical cable fence based on the monitoring risk coefficient specifically includes:

[0148] When the monitoring risk coefficient is less than the preset monitoring risk coefficient threshold, it is determined that the monitoring and early warning setting strategy of the sensor optical cable guardrail in the risk area does not need to be adjusted.

[0149] When the monitoring risk coefficient is not less than the preset monitoring risk coefficient threshold, it is determined whether the monitoring risk coefficient is within the preset monitoring risk coefficient range. If so, based on the impact warning accident of the target construction area within the most recent preset time period, it is determined whether the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area needs to be adjusted. If not, it is determined that the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area needs to be adjusted.

[0150] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0151] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0152] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A vehicle monitoring and alarm processing method based on sensor-optical cable guardrail, characterized in that, Specifically, it includes: Obtain the construction date for the target construction area. Based on the weather data forecast results for different construction dates, determine if the visibility of the target construction area meets the requirements, and then proceed to the next step. The target construction area is divided into multiple areas based on the road occupancy data. The risk areas in the area are determined by the historical traffic flow data of the occupied roads in different areas during periods of abnormal visibility. Based on the construction projects in the risk area, determine the number of construction workers in the risk area on different construction dates, and combine the number of construction workers during periods of abnormal visibility to determine that there is no safety risk in the risk area. Then, determine the monitoring and early warning setting strategy for the sensor fiber optic cable guardrail in the risk area based on the changes in the number of construction workers in the risk area. By utilizing the traffic flow and visibility of collision warning accidents in different areas and the similarity between the risk areas at different times, the adjustment and judgment of the monitoring and early warning setting strategy of the sensor fiber optic cable guardrail in the risk areas are determined. The method for determining the adjustment and judgment of the monitoring and early warning setting strategy for the sensor-guided optical cable fence in the risk area is as follows: Real-time acquisition of collision warning incidents in different areas; when a collision warning incident occurs, acquisition of the traffic flow and visibility corresponding to the collision warning incident. Based on the traffic flow and visibility corresponding to the collision warning accident, determine the construction periods with similar traffic flow and visibility in the risk area on future construction dates, and use them as similar construction periods; Based on the number of similar construction periods, determine the adjustment and judgment method for the monitoring and early warning setting strategy of the sensor fiber optic cable guardrail in the risk area.

2. The vehicle monitoring and alarm processing method based on sensor-optical cable guardrail as described in claim 1, characterized in that, The construction date is determined based on the construction plan for the construction area.

3. The vehicle monitoring and alarm processing method based on sensor-optical cable guardrail as described in claim 1, characterized in that, The weather data forecasts include visibility forecasts for different times of day on different construction dates.

4. The vehicle monitoring and alarm processing method based on sensor-optical cable guardrail as described in claim 1, characterized in that, Determining that the visibility in the target construction area meets the requirements specifically includes: Based on the forecast results of weather data for different construction dates, determine the forecast results of visibility at different times on different construction dates; Based on the visibility prediction results for different time periods, the time periods when the visibility is less than the preset visibility threshold are identified and designated as abnormal visibility time periods. Based on the percentage of periods with abnormal visibility during different construction dates, determine whether the visibility in the target construction area meets the requirements.

5. The vehicle monitoring and alarm processing method based on sensor-optical cable guardrail as described in claim 4, characterized in that, If the proportion of abnormal visibility periods in different construction dates is greater than the preset proportion of abnormal periods, then the visibility of the target construction area is determined to be insufficient.

6. The vehicle monitoring and alarm processing method based on sensor-optical cable guardrail as described in claim 1, characterized in that, When the area is not a risk area, the sensor fiber optic cable guardrail is set up based on the second preset distance from the target construction area.

7. The vehicle monitoring and alarm processing method based on sensor-optical cable guardrail as described in claim 1, characterized in that, The similar construction period refers to the construction period during which the deviation in traffic flow and visibility corresponding to the collision warning accident is within a preset deviation range.

8. The vehicle monitoring and alarm processing method based on sensor-optical cable guardrail as described in claim 1, characterized in that, Based on the number of similar construction periods, the adjustment and judgment method for the monitoring and early warning setting strategy of the sensor-operated optical cable fence in the risk area is determined, specifically including: When the number of similar construction periods is less than the preset threshold number of construction periods, it is determined that the monitoring and early warning setting strategy of the sensor optical cable guardrail in the risk area does not need to be adjusted. When the number of similar construction periods is not less than the preset threshold for the number of construction periods, it is determined whether the number of similar construction periods is within the preset range for the number of similar construction periods. If so, based on the collision warning accident of the target construction area within the most recent preset time period, it is determined whether the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area needs to be adjusted. If not, it is determined that the monitoring and warning setting strategy of the sensor optical cable guardrail in the risk area needs to be adjusted.

9. A computer system, comprising: A memory and processor connected by communication, and a computer program stored in the memory and capable of running on the processor, characterized in that, when the processor runs the computer program, it executes a vehicle monitoring and alarm processing method based on a sensor-optical cable guardrail as described in any one of claims 1-8.

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