摘要：【中文】本发明公开了一种车辆高危路段预警方法，包括：对获取到的车辆基础数据进行预处理，得到预处理后的基础数据；基于预处理后的基础数据，构建高危路段预警模型，构建高危路段预警模型的规则为：当车辆与危险标志物的距离小于等于预设距离时，确定车辆在危险标志物的预设范围内，并向用户发出预警信息；通过预处理后的基础数据中的车辆轨迹点数据运行高危路段预警模型，得到历史路段信息网数据，并将历史路段信息网数据保存在数据库中；车辆终端基于历史路段信息网数据以及接收到的查询信息，获取并输出与查询信息对应的查询结果。通过上述方法，可以提高高危路段预警的准确率以及时效性，而且各个区域的数据可以实时共享。 【EN】The invention discloses a vehicle high-risk road section early warning method, which comprises the following steps: preprocessing the acquired vehicle basic data to obtain preprocessed basic data; constructing a high-risk road section early warning model based on the preprocessed basic data, wherein the rule for constructing the high-risk road section early warning model is as follows: when the distance between the vehicle and the dangerous marker is smaller than or equal to the preset distance, determining that the vehicle is in the preset range of the dangerous marker, and sending early warning information to a user; running a high-risk road section early warning model through vehicle track point data in the preprocessed basic data to obtain historical road section information network data, and storing the historical road section information network data in a database; and the vehicle terminal acquires and outputs a query result corresponding to the query information based on the historical road section information network data and the received query information. By the method, the accuracy and the timeliness of the high-risk road section early warning can be improved, and data of each region can be shared in real time.

摘要：【中文】本发明公开了一种基于空间索引算法的道路上下行识别方法、装置、存储介质及终端，所述方法包括：获取预先分组后的道路数据样本集合；获取所述道路数据样本集合中各道路数据样本对应的路段数据集合；将所述路段数据集合输入预先建立的空间索引数据结构中获取所述路段数据集合中各路段数据对应的相接路段数据，生成道路子方向；基于所述子方向识别出道路上下行两个方向。因此，采用本申请实施例，可以提高道路上下行识别的准确度和效率。 【EN】The invention discloses a method, a device, a storage medium and a terminal for identifying the up-down link of a road based on a spatial index algorithm, wherein the method comprises the following steps: acquiring a road data sample set grouped in advance; acquiring a road section data set corresponding to each road data sample in the road data sample set; inputting the road section data set into a pre-established spatial index data structure to obtain connected road section data corresponding to each road section data in the road section data set, and generating a road sub-direction; and identifying two uplink and downlink directions based on the sub-directions. Therefore, the accuracy and the efficiency of the up-down identification of the road can be improved by adopting the embodiment of the application.

摘要：【中文】本发明公开了一种查找违法嫌疑车辆的方法，包括：获取目标道路点预设范围内所经车辆的轨迹点数据；筛选车辆的轨迹点数据，得到筛选后的车辆的轨迹点数据；计算筛选后的车辆的轨迹点数据中车辆经过目标道路点的时间与违法嫌疑车辆经过目标道路点的时间差值；根据时间差值的大小，将车辆作为疑似违法嫌疑车辆并输出。通过上述方法，可以提高查找违法嫌疑车辆的准确率。 【EN】The invention discloses a method for searching for an illegal suspect vehicle, which comprises the following steps: acquiring track point data of passing vehicles within a preset range of a target road point; screening the track point data of the vehicle to obtain the screened track point data of the vehicle; calculating the difference value between the time when the vehicle passes through the target road point in the screened track point data of the vehicle and the time when the illegal suspect vehicle passes through the target road point; and according to the time difference value, the vehicle is taken as a suspected illegal suspect vehicle and output. By the method, the accuracy rate of searching the illegal suspect vehicle can be improved.

摘要：【中文】本发明公开了一种道路缺失发现方法及装置，包括：从基础道路数据中搜索位于行车轨迹的预设范围内的道路节点；从已建立数据表中获取所述道路节点所在道路的道路描述信息；将道路描述信息相同的道路节点划分为一个分组；确定每一分组中道路节点与行车轨迹之间的弗雷歇距离；若确定的弗雷歇距离中存在大于距离阈值的弗雷歇距离，则将次数加1；当次数超过阈值时，输出包含行车轨迹的道路缺失通知，以提示用户将缺失道路补充到基础道路数据。通过搜索位于行车轨迹范围内的道路节点，并按照相同道路对道路节点进行分组后计算弗雷歇距离以实现轨迹与道路的形态匹配，进而根据不匹配次数实现道路缺失的准确识别，避免误匹配问题。 【EN】The invention discloses a method and a device for discovering road loss, which comprises the following steps: searching road nodes located in a preset range of a driving track from the basic road data; acquiring road description information of a road where the road node is located from the established data table; dividing road nodes with the same road description information into a group; determining a Freund distance between the road node and the driving track in each group; if the determined Freund rest distance is larger than the distance threshold, adding 1 to the frequency; and when the times exceed the threshold value, outputting a road missing notice containing the driving track to prompt a user to supplement the missing road to the basic road data. The road nodes in the driving track range are searched, the Freusch distance is calculated after the road nodes are grouped according to the same road, so that the form matching of the track and the road is realized, the accurate identification of the road deletion is realized according to the mismatching times, and the mismatching problem is avoided.

摘要：【中文】本申请公开了一种基于xgboost分类算法的车辆事故判断方法和系统，包括：采集第一时间段内的车辆事故数据和第二时间段内的车辆数据，进行预处理得到停靠数据；根据车辆事故数据和停靠数据确定训练集和测试集；对各样本进行特征创建和处理，得到特征因子和衍生因子；输入训练集中的特征因子和衍生因子至待训练的xgboost分类模型，使用AUC评估方法和网格搜索算法进行训练，得到分类模型；输入测试集中的特征因子和衍生因子至分类模型，得到事故概率，使用AUC评估方法对分类模型进行优化得到判断模型；使用判断模型实时计算车辆事故概率。通过使用xgboost分类模型、AUC评估方法和网格搜索算法进行训练和优化，能够实时对车辆的事故进行高准确度的判断。 【EN】The application discloses a vehicle accident judgment method and system based on an xgboost classification algorithm, comprising the following steps: acquiring vehicle accident data in a first time period and vehicle data in a second time period, and preprocessing to obtain parking data; determining a training set and a testing set according to the vehicle accident data and the parking data; performing characteristic creation and processing on each sample to obtain characteristic factors and derivative factors; inputting characteristic factors and derivative factors in a training set to an xgboost classification model to be trained, and training by using an AUC (AUC estimation) method and a grid search algorithm to obtain a classification model; inputting characteristic factors and derivative factors in the test set into the classification model to obtain accident probability, and optimizing the classification model by using an AUC (automated traffic control) evaluation method to obtain a judgment model; and calculating the probability of the vehicle accident in real time by using the judgment model. By training and optimizing the xgboost classification model, the AUC estimation method and the grid search algorithm, the accident of the vehicle can be judged with high accuracy in real time.

摘要：【中文】本申请公开了一种用于判断高速路上车辆的停靠状态的方法和系统，包括：实时获取目标车辆轨迹点，判断目标车辆当前状态；若目标车辆的当前状态为停靠状态，则确定目标车辆的停靠状态开始时所在位置、所在高速路和停靠状态开始时间；根据停靠状态开始时所在位置、所在高速路和停靠状态开始时间，确定目标车辆周边的计算车辆的轨迹数据；根据计算车辆的轨迹数据，确定停靠比较速度；若停靠比较速度均低于判断阈值，则判断目标车辆为第一停靠状态。本申请的实施方式能够对车辆的停靠状态进行准确度高的判断，使用实时采集的可停车区信息进行替换，降低误判率与漏判率，对高速公路上违章停车的车辆进行报警，降低事故风险，保障高速公路交通安全。 【EN】The application discloses a method and a system for judging the parking state of a vehicle on a highway, comprising the following steps: acquiring target vehicle track points in real time and judging the current state of a target vehicle; if the current state of the target vehicle is the parking state, determining the position of the target vehicle when the parking state starts, the highway where the target vehicle is located and the starting time of the parking state; determining track data of the calculation vehicle around the target vehicle according to the position of the parking state, the highway and the parking state starting time; determining a parking comparison speed according to the calculated track data of the vehicle; and if the parking comparison speeds are all lower than the judgment threshold value, judging that the target vehicle is in a first parking state. The embodiment of the application can judge the parking state of the vehicle with high accuracy, replace the parking area information acquired in real time, reduce the misjudgment rate and the missing judgment rate, alarm the vehicle parked in a violation manner on the highway, reduce the accident risk and guarantee the traffic safety of the highway.

摘要：【中文】本申请公开了一种用于判断高速路上车辆的低速状态的方法和系统，包括：对目标车辆的轨迹数据进行过滤后，判断车辆状态；若车辆状态为低速状态，则确定目标车辆的低速状态开始时所在位置、所在高速路和状态开始时间，并判断车辆所在路段；若目标车辆为非待排除车辆，则根据状态开始时所在位置、所在高速路和状态开始时间，确定目标车辆周边的计算车辆的轨迹数据；根据计算车辆的轨迹数据，确定与车辆状态对应的比较条件；根据目标车辆状态和对应的比较条件，判断目标车辆的低速状态，并报警。本申请的实施方式能够不依赖外接设备，成本低、具有强实时性、可以监控所有范围的车辆，帮助司机纠正错误行为车辆和司机提供帮助，减少高速上的安全隐患。 【EN】The application discloses a method and a system for judging a low-speed state of a vehicle on a highway, comprising the following steps: after the track data of the target vehicle is filtered, judging the vehicle state; if the vehicle state is a low-speed state, determining the position, the highway and the state starting time of the target vehicle when the low-speed state starts, and judging the road section where the vehicle is located; if the target vehicle is a vehicle which is not to be excluded, determining track data of the calculation vehicle around the target vehicle according to the position of the starting state, the highway and the starting time of the state; determining a comparison condition corresponding to the vehicle state according to the calculated trajectory data of the vehicle; and judging the low-speed state of the target vehicle according to the state of the target vehicle and the corresponding comparison condition, and giving an alarm. The implementation mode of this application can not rely on external equipment, and is with low costs, have strong real-time, can monitor the vehicle of all ranges, and help driver corrects the wrong behavior vehicle and driver provides help, reduces the potential safety hazard in the high speed.

摘要：【中文】本申请公开了一种高速路堵车的判断方法和系统，包括：根据目标车辆的轨迹数据判断车辆状态；根据目标车辆的停靠状态或低速状态，确定目标车辆的停靠状态或低速状态开始时所在位置、所在高速路和状态开始时间；根据状态开始时所在位置、所在高速路和状态开始时间，确定目标车辆周边的计算车辆的轨迹数据；根据计算车辆的轨迹数据，确定与车辆状态对应的比较条件；根据目标车辆状态和对应的比较条件，判断高速路是否堵车。通过实时监控目标车辆的轨迹数，据判断车辆状态，确定目标车辆周边的计算车辆的轨迹数据；根据计算车辆的轨迹数据确定与车辆状态对应的比较条件，判断高速路是否堵车，不依赖外部设备即可以对高速路堵车进行判断。 【EN】The application discloses a method and a system for judging traffic jam on an expressway, comprising the following steps: judging the vehicle state according to the track data of the target vehicle; determining the position, the highway and the state starting time of the target vehicle when the parking state or the low-speed state of the target vehicle starts according to the parking state or the low-speed state of the target vehicle; determining track data of the calculation vehicles around the target vehicle according to the position of the state starting time, the highway and the state starting time; determining a comparison condition corresponding to the vehicle state according to the calculated trajectory data of the vehicle; and judging whether the expressway is blocked according to the state of the target vehicle and the corresponding comparison condition. The track data of the target vehicle is monitored in real time, the vehicle state is judged according to the track data, and the track data of the calculation vehicle around the target vehicle is determined; and determining a comparison condition corresponding to the vehicle state according to the calculated track data of the vehicle, judging whether the expressway is blocked, and judging whether the expressway is blocked without depending on external equipment.

摘要：【中文】本发明公开了一种基于站域信息确定故障线路的方法及系统，包括：根据采集的同塔混压双回线路中两条线路同一侧的三相电流和三相电压分别计算两条线路的零序电流、负序电流和零序电压；利用两条线路的零序电流、负序电流和零序电压按照预设的判断规则确定故障线路。本发明利用站域信息准确识别同塔混压双回输电线路的故障线路，改进了非故障线路方向元件的动作判据，能够正确切除故障线路；能够消除零序互感造成的零序方向元件误动作，提升了保护的可靠性，限制了事故范围扩大。 【EN】The invention discloses a method and a system for determining a fault line based on station domain information, wherein the method comprises the following steps: respectively calculating zero sequence current, negative sequence current and zero sequence voltage of two lines according to the collected three-phase current and three-phase voltage of the same side of the two lines in the same-tower mixed-voltage double-circuit line; and determining a fault line according to a preset judgment rule by using the zero sequence current, the negative sequence current and the zero sequence voltage of the two lines. The method accurately identifies the fault line of the same-tower mixed-voltage double-circuit power transmission line by using the station domain information, improves the action criterion of the non-fault line direction element, and can correctly cut the fault line; the false operation of the zero sequence directional element caused by zero sequence mutual inductance can be eliminated, the reliability of protection is improved, and the expansion of the accident range is limited.

摘要：【中文】本发明实施例公开了一种先进增强结构的涂层防护处理方法，该方法包括：根据对先进增强结构应用部位的环境分析，初步确定先进增强结构的待选涂层的防护体系；通过对初步确定的待选涂层的防护体系的试验验证，选取出符合应用部位环境的先进增强结构的防护体系；对选取的防护体系进行环境综合评估分析，验证防护体系的有效性和耐久性。采用本发明实施例提供的方案，可以提高腐蚀环境下先进增强结构腐蚀防护性能，加快先进增强结构在飞机的工程化应用，实现延长飞机检修间隔及寿命，提高飞机安全性及经济性的目标。 【EN】The embodiment of the invention discloses a coating protection treatment method of an advanced reinforced structure, which comprises the following steps: preliminarily determining a protection system of a coating to be selected of the advanced reinforced structure according to the environmental analysis of the application part of the advanced reinforced structure; the protection system of the advanced enhancement structure which accords with the environment of the application part is selected through the test verification of the preliminarily determined protection system of the coating to be selected; and carrying out comprehensive environmental evaluation and analysis on the selected protection system, and verifying the effectiveness and durability of the protection system. By adopting the scheme provided by the embodiment of the invention, the corrosion protection performance of the advanced reinforced structure in a corrosion environment can be improved, the engineering application of the advanced reinforced structure in an airplane is accelerated, the aims of prolonging the overhaul interval and the service life of the airplane and improving the safety and the economy of the airplane are fulfilled.