Smart city information management method and system based on multi-source data

Abstract

The present invention relates to the technical field of urban information management, and specifically to a smart city information management method and system based on multi-source data, comprising building a smart city information management cloud platform, analyzing the traffic accident conditions of roads in the city, and obtaining marked roads; obtaining the marked roads in the city, obtaining historical traffic records of the marked roads, extracting historical traffic data from the historical traffic records, and analyzing the vehicle traffic conditions in the marked roads in the current cycle according to the historical traffic data of the marked roads, and obtaining the target roads in the current cycle; analyzing the influence degree of road traffic conditions between the target roads and different roads in the city, and obtaining target road traffic influence data of the target roads; focusing on monitoring the target roads in the current cycle, and based on the target road traffic influence data of the target roads, intelligently managing the roads in the city in the current cycle.

Description

Technical Field

[0001] The present invention relates to the technical field of urban information management, and in particular to a smart city information management method and system based on multi-source data. Background Art

[0002] Multi-source data refers to data from different data sources or channels. These data may include data collected from different organizations, different platforms, different geographical locations or different time points. Multi-source data can be structured data, such as data tables in a database, or unstructured data, such as text, images, audio and video. Currently, most of the smart city information management is based on the analysis of multi-source data. Smart city information management requires the integration of data from various fields, including transportation, environment, energy, and medical care. The use of multi-source data can obtain more diverse and comprehensive information in smart city information management. At the same time, multi-source data can also provide more dimensions and perspectives to help city managers better understand the operation of the city, and can provide smart city management with deeper insights and more accurate data support. Therefore, in smart city information management, it is necessary to use multi-source data to integrate information from all aspects, so as to realize data sharing, thereby improving the level and efficiency of urban management.

[0003] Urban road traffic management is particularly important in smart city information management. However, in fact, in urban traffic, different roads have different vehicles at different times, and the roads in urban traffic are not independent. The road traffic on each road will also affect each other. This will make it difficult to accurately predict the traffic in the city in urban traffic management, which will not only cause traffic congestion in the city, but also greatly increase the risk of traffic safety hazards. Summary of the invention

[0004] The purpose of the present invention is to provide a smart city information management method and system based on multi-source data to solve the problems existing in the above-mentioned background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a smart city information management method based on multi-source data, the method comprising:

[0006] Step S100: constructing a smart city information management cloud platform, obtaining historical road traffic accident records of roads in the city, extracting historical road traffic accident data from the historical road traffic accident records, analyzing the traffic accident conditions of roads in the city, and obtaining marked roads;

[0007] Step S200: obtaining marked roads in the city, obtaining historical traffic records of the marked roads, extracting historical traffic data from the historical traffic records, and analyzing the vehicle traffic conditions in the marked roads in the current cycle based on the historical traffic data of the marked roads to obtain the target road in the current cycle;

[0008] Step S300: obtaining a target road in the current cycle, obtaining historical traffic records of roads in the city, analyzing the degree of influence of road traffic status between the target road and different roads in the city, and obtaining target road traffic influence data of the target road;

[0009] Step S400: Acquire the target roads in the current cycle, acquire the target road traffic impact data of the target roads, focus on monitoring the target roads in the current cycle, and intelligently manage the city's roads in the current cycle based on the target road traffic impact data of the target roads.

[0010] Furthermore, step S100 includes:

[0011] Step S101: construct a smart city information management cloud platform, obtain each historical road traffic accident record of each road in the city, and extract the historical road traffic accident data of the road from the historical road traffic accident records of the roads in the city, where the historical road traffic accident data is the total number of accident vehicles in the historical road traffic accident records;

[0012] Step S102: Obtain the time point when the traffic accident occurred in the historical road traffic records, obtain the time length of each historical road traffic accident record of each road and the current cycle, obtain the maximum time length of each historical road traffic accident record of each road and the current cycle, obtain the minimum time length of each historical road traffic accident record of each road and the current cycle, and calculate the marked road accident value of each road, wherein the marked road accident value E of the ath road in the city is a :

[0013]

[0014] Among them, T a,max is the maximum value of the duration of each historical road traffic accident record of the ath road and the distance from the current cycle; T a,min is the minimum time length of each historical road traffic accident record of the ath road and the current cycle; j is the total number of historical road traffic accident records of the ath road; S a,i is the total number of accident vehicles involved in the i-th historical road traffic accident record of the a-th road;

[0015] Step S103: When the marked road accident value of the ath road is greater than a preset marked road accident threshold, it is determined that road traffic accidents on the ath road occur frequently, and the ath road is recorded as a marked road, and each marked road in the city is obtained.

[0016] Further, step S200 includes:

[0017] Step S201: setting a characteristic unit duration, dividing the historical cycle according to the characteristic unit duration, dividing the historical cycle into a number of historical time periods, wherein the distance duration between adjacent historical time periods in the historical cycle is the characteristic unit duration, monitoring the vehicle traffic status of the marked road in each historical time period, and obtaining each historical traffic record of the marked road;

[0018] Step S202: setting a unit time length, obtaining each historical traffic record of each marked road in the city, and collecting the historical traffic records in the same historical period of the marked roads, wherein the distance time length between two adjacent historical periods is the unit time length, and extracting historical traffic data from the historical traffic records, the historical traffic data being the total number of vehicles passing through the marked roads in the historical period where the historical traffic records are located;

[0019] Step S203: Based on the characteristic unit duration, the current cycle is divided into several time periods, and the vehicle traffic conditions of each marked road in the several time periods in the current cycle are analyzed. The specific process of analyzing the vehicle traffic conditions of the b-th marked road in the c-th time period in the current cycle is to obtain the total number of vehicles passing through the b-th marked road in each historical time period in each historical cycle;

[0020] Step S204: when the total number of vehicles passing through the bth marked road in the cth historical period in each historical cycle is greater than the preset threshold of the number of passing vehicles, it is determined that the vehicle traffic condition of the bth marked road in the cth period in the current cycle is abnormal;

[0021] Step S205: When the total number of vehicles passing through the bth marked road in the cth historical period in a certain historical cycle is less than the preset threshold of the number of passing vehicles, the marked vehicle traffic change value of the bth marked road in the cth historical period in each historical cycle is calculated, wherein the marked vehicle traffic change value of the bth marked road in the cth historical period in the qth historical cycle is

[0022]

[0023] in, is the total number of vehicles passing through the bth marked road in the cth historical period in the qth historical cycle; is the total number of vehicles passing through the bth marked road in the cth historical period in the q-1th historical cycle;

[0024] Step S206: Obtain the median of the change value of the marked vehicle traffic in the cth historical period in each historical cycle for the bth marked road Get the total number of vehicles passing through the bth marked road in the cth historical period in the historical cycle adjacent to the current cycle Calculate the number of characteristic vehicles on the bth marked road in the cth period of the current cycle

[0025] Step S207: when the number of characteristic vehicles of the bth marked road in the cth time period in the current cycle is greater than a preset characteristic vehicle number threshold, it is determined that the vehicle traffic condition of the bth marked road in the cth time period in the current cycle is abnormal;

[0026] Step S208: Obtain the total number of time periods in the current cycle in which the vehicle traffic condition of the b-th marked road is determined to be abnormal. When the total number of time periods is greater than the preset time period number threshold, the vehicle traffic condition of the b-th marked road in the current cycle is determined to be abnormal, and the b-th marked road is recorded as the target road.

[0027] Furthermore, step S300 includes:

[0028] Step S301: Obtain each target road in the city in the current cycle, obtain the time period in which each target road is determined to have abnormal vehicle traffic conditions in the current cycle, and analyze the degree of influence of traffic conditions between each target road and each road in the city in the current cycle, wherein the specific analysis process of the degree of influence between the f-th target road and each road in the city is to obtain the average value of the total number of vehicles passing through the f-th target road in each historical period in each historical cycle, and record the average value as the characteristic vehicle average value of the f-th target road in each historical cycle;

[0029] Step S302: Obtain historical traffic records of various roads in the city in various historical periods, extract the total number of vehicles passing through the road in the historical period from the historical traffic records, and randomly select road α from various roads in the city;

[0030] Step S303: Analyze the influence degree of the road traffic status between the fth target road and road α, and calculate the road traffic correlation value between the fth target road and road α in each historical period, where the road traffic influence value between the fth target road and road α in the βth historical period is

[0031]

[0032] Where m is the total number of historical periods in the βth historical cycle; is the total number of vehicles passing through the f-th target road in the x-th historical period in the β-th historical cycle; is the average value of characteristic vehicles on the f-th target road in the β-th historical period; is the total number of vehicles passing through road α in the xth historical period in the βth historical cycle; is the average value of characteristic vehicles on road α in the βth historical period;

[0033] Step S304: Calculate the marked traffic impact value R between the fth target road and road α f,α :

[0034]

[0035] Where n is the total number of historical cycles of the fth target road; is the road traffic impact value between the f-th target road and road α in the y-th historical period;

[0036] Step S305: when the marked traffic impact value between the f-th target road and the road α is greater than a preset marked traffic impact threshold, it is determined that the road traffic states of the f-th target road and the road α affect each other, and the road α is recorded as a marked impact road of the f-th target road;

[0037] Step S306: Acquire and aggregate the marked impact roads of each target road in the current cycle to obtain the target road traffic impact data of the target road in the current cycle.

[0038] Furthermore, step S400 includes:

[0039] Step S401: acquiring each target road in the current cycle, acquiring target road traffic impact data of each target road, acquiring marked roads in the current cycle, and dispatching staff to perform on-site road maintenance on the marked roads in the current cycle;

[0040] Step S402: obtaining the time periods of each target road in the current cycle when the vehicle traffic conditions are determined to be abnormal, dispatching staff to maintain the traffic order on the target road during the time periods when the vehicle traffic conditions are determined to be abnormal, and focusing on monitoring the vehicle traffic conditions of the target road markings during the time periods when the vehicle traffic conditions are determined to be abnormal according to the target road traffic impact data of each target road, and intelligently managing the road traffic in the city in combination with the actual conditions of the areas where the roads are located;

[0041] In the above steps, the target road is selected from the marked roads because it is considered that frequent accidents on the marked roads may be due to excessive traffic volume or problems with the road itself. In order to analyze the specific reasons for the frequent accidents on the marked roads, the historical traffic records of the marked roads are specially obtained, and the traffic volume on the marked roads is analyzed to find the marked roads with large traffic volume in the historical period and record them as target roads. In this way, it can be clearly understood that the reason for the frequent traffic accidents on the target roads is excessive traffic volume, and the frequent traffic accidents on the marked roads that are not selected as target roads are likely to be due to problems with the roads themselves. Therefore, corresponding operations are taken for the marked roads and target roads respectively. Such operations are not only scientific, but also more accurately and reasonably solve the specific reasons for the frequent road accidents, making the roads in the city safer.

[0042] In order to better implement the above method, a smart city information management system is also proposed, which includes a marked road module, a target road module, a target road traffic impact data module, and an intelligent management module;

[0043] A marked road module is used to obtain historical road traffic accident records of roads in the city, extract historical road traffic accident data from the historical road traffic accident records, analyze the traffic accident conditions of roads in the city, and obtain marked roads;

[0044] The target road module is used to analyze the vehicle traffic conditions on the marked road in the current cycle according to the historical traffic data of the marked road, and obtain the target road of the current cycle;

[0045] The target road traffic impact data module is used to analyze the impact degree of the road traffic status between the target road and different roads in the city, and obtain the target road traffic impact data of the target road;

[0046] The intelligent management module is used to focus on monitoring the target roads in the current cycle, and to intelligently manage the roads in the city in the current cycle based on the target road traffic impact data of the target roads.

[0047] Further, the marked road module includes a marked road accident value unit and a marked road unit;

[0048] A marked road accident value unit is used to obtain the maximum value of the distance time between each road and the current cycle, obtain the minimum value of the distance time between each road and the current cycle, and calculate the marked road accident value of each road;

[0049] The marked road unit is used to judge the road according to the marked road accident value of the road and obtain various marked roads in the city.

[0050] Further, the target road module includes a characteristic vehicle quantity unit and a target road unit;

[0051] A characteristic vehicle quantity unit is used to calculate the characteristic vehicle quantity of the marked road in each period in the current cycle;

[0052] The target road unit is used to obtain the total number of time periods in the marked roads in the current cycle during which the vehicle traffic conditions are determined to be abnormal, and obtain the target roads in the current cycle.

[0053] Further, the target road traffic impact data module includes a marked traffic impact value unit and a target road traffic impact data unit;

[0054] A marked traffic impact value unit, used for calculating the marked traffic impact value between each target road and each road;

[0055] The target road traffic impact data unit is used to acquire and collect each marked impact road of each target road in the current cycle to obtain the target road traffic impact data of the target road in the current cycle.

[0056] Further, the intelligent management module includes an intelligent management unit;

[0057] The intelligent management unit is used to obtain the time periods during the current cycle when the vehicle traffic conditions of each target road are determined to be abnormal, and dispatch staff to maintain the traffic order on the target road during the time periods when the vehicle traffic conditions are determined to be abnormal. According to the target road traffic impact data of each target road, during the time periods when the vehicle traffic conditions of each target road are determined to be abnormal, the vehicle traffic status of the target road affected by the marking is monitored in a key manner, and the road traffic in the city is intelligently managed in combination with the actual conditions of the areas where the roads are located.

[0058] Compared with the prior art, the beneficial effects achieved by the present invention are: the present invention realizes the intelligent management of urban traffic, and according to the actual conditions of different roads in urban traffic, the traffic of each road in the city is intelligently analyzed, and the historical road accident records of the roads in the city are used to accurately find out the roads in the city where accidents frequently occur, and the vehicles on the roads where accidents frequently occur are analyzed, so as to predict the road traffic volume in the current cycle, and also by analyzing the degree of mutual influence between the various roads in urban traffic, the roads with traffic influence in the city are found, so as to more scientifically and reasonably manage the intelligent traffic in the city and ensure the traffic safety in the city. BRIEF DESCRIPTION OF THE DRAWINGS

[0059] The accompanying drawings are used to provide a further understanding of the present invention and constitute part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0060] Figure 1 It is a method flow chart of the smart city information management method and system based on multi-source data of the present invention;

[0061] Figure 2 It is a module schematic diagram of the smart city information management method and system based on multi-source data of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] See also Figure 1-Figure 2 The present invention provides a technical solution: a smart city information management method based on multi-source data, the method comprising:

[0064] Step S100: constructing a smart city information management cloud platform, obtaining historical road traffic accident records of roads in the city, extracting historical road traffic accident data from the historical road traffic accident records, analyzing the traffic accident conditions of roads in the city, and obtaining marked roads;

[0065] Wherein, step S100 includes:

[0066] Step S101: construct a smart city information management cloud platform, obtain each historical road traffic accident record of each road in the city, and extract the historical road traffic accident data of the road from the historical road traffic accident records of the roads in the city, where the historical road traffic accident data is the total number of accident vehicles in the historical road traffic accident records;

[0067] Step S102: Obtain the time point when the traffic accident occurred in the historical road traffic records, obtain the time length of each historical road traffic accident record of each road and the current cycle, obtain the maximum time length of each historical road traffic accident record of each road and the current cycle, obtain the minimum time length of each historical road traffic accident record of each road and the current cycle, and calculate the marked road accident value of each road, wherein the marked road accident value E of the ath road in the city is a :

[0068]

[0069] Among them, T a,max is the maximum value of the duration of each historical road traffic accident record of the ath road and the distance from the current cycle; T a,min is the minimum time length of each historical road traffic accident record of the ath road and the current cycle; j is the total number of historical road traffic accident records of the ath road; S a,i is the total number of accident vehicles involved in the i-th historical road traffic accident record of the a-th road;

[0070] Step S103: when the marked road accident value of the ath road is greater than a preset marked road accident threshold, it is determined that the ath road has frequent road traffic accidents, and the ath road is recorded as a marked road, and each marked road in the city is obtained;

[0071] Step S200: obtaining marked roads in the city, obtaining historical traffic records of the marked roads, extracting historical traffic data from the historical traffic records, and analyzing the vehicle traffic conditions in the marked roads in the current cycle based on the historical traffic data of the marked roads to obtain the target road in the current cycle;

[0072] Wherein, step S200 includes:

[0073] Step S201: setting a characteristic unit duration, dividing the historical cycle according to the characteristic unit duration, dividing the historical cycle into a number of historical time periods, wherein the distance duration between adjacent historical time periods in the historical cycle is the characteristic unit duration, monitoring the vehicle traffic status of the marked road in each historical time period, and obtaining each historical traffic record of the marked road;

[0074] Step S202: setting a unit time length, obtaining each historical traffic record of each marked road in the city, and collecting the historical traffic records in the same historical period of the marked roads, wherein the distance time length between two adjacent historical periods is the unit time length, and extracting historical traffic data from the historical traffic records, the historical traffic data being the total number of vehicles passing through the marked roads in the historical period where the historical traffic records are located;

[0075] Step S203: Based on the characteristic unit duration, the current cycle is divided into several time periods, and the vehicle traffic conditions of each marked road in the several time periods in the current cycle are analyzed. The specific process of analyzing the vehicle traffic conditions of the b-th marked road in the c-th time period in the current cycle is to obtain the total number of vehicles passing through the b-th marked road in each historical time period in each historical cycle;

[0076] Step S204: when the total number of vehicles passing through the bth marked road in the cth historical period in each historical cycle is greater than the preset threshold of the number of passing vehicles, it is determined that the vehicle traffic condition of the bth marked road in the cth period in the current cycle is abnormal;

[0077] Step S205: When the total number of vehicles passing through the bth marked road in the cth historical period in a certain historical cycle is less than the preset threshold of the number of passing vehicles, the marked vehicle traffic change value of the bth marked road in the cth historical period in each historical cycle is calculated, wherein the marked vehicle traffic change value of the bth marked road in the cth historical period in the qth historical cycle is

[0078]

[0079] in, is the total number of vehicles passing through the bth marked road in the cth historical period in the qth historical cycle; is the total number of vehicles passing through the bth marked road in the cth historical period in the q-1th historical cycle;

[0080] For example, the total number of vehicles passing through the first marked road in the third historical period of the second historical cycle is 100; the total number of vehicles passing through the first marked road in the third historical period of the first historical cycle is 80; the change value of the marked vehicle traffic of the first marked road in the third historical period of the second historical cycle is

[0081] Step S206: Obtain the median of the change value of the marked vehicle traffic in the cth historical period in each historical cycle for the bth marked road Get the total number of vehicles passing through the bth marked road in the cth historical period in the historical cycle adjacent to the current cycle Calculate the number of characteristic vehicles on the bth marked road in the cth period of the current cycle

[0082] For example, get the median of the change in the number of marked vehicles on the first marked road in the third historical period of each historical cycle. is 0.30, and the total number of vehicles passing through the first marked road in the third historical period in the historical period adjacent to the current period is obtained. =100, calculate the number of characteristic vehicles on the first marked road in the third period of the current cycle

[0083] Step S207: when the number of characteristic vehicles of the bth marked road in the cth time period in the current cycle is greater than a preset characteristic vehicle number threshold, it is determined that the vehicle traffic condition of the bth marked road in the cth time period in the current cycle is abnormal;

[0084] Step S208: Obtain the total number of time periods in which the vehicle traffic condition of the bth marked road is determined to be abnormal in the current cycle. When the total number of time periods is greater than the preset time period number threshold, determine that the vehicle traffic condition of the bth marked road in the current cycle is abnormal, and record the bth marked road as the target road;

[0085] Step S300: obtaining a target road in the current cycle, obtaining historical traffic records of roads in the city, analyzing the degree of influence of road traffic status between the target road and different roads in the city, and obtaining target road traffic influence data of the target road;

[0086] Wherein, step S300 includes:

[0087] Step S301: Obtain each target road in the city in the current cycle, obtain the time period in which each target road is determined to have abnormal vehicle traffic conditions in the current cycle, and analyze the degree of influence of traffic conditions between each target road and each road in the city in the current cycle, wherein the specific analysis process of the degree of influence between the f-th target road and each road in the city is to obtain the average value of the total number of vehicles passing through the f-th target road in each historical period in each historical cycle, and record the average value as the characteristic vehicle average value of the f-th target road in each historical cycle;

[0088] Step S302: Obtain historical traffic records of various roads in the city in various historical periods, extract the total number of vehicles passing through the road in the historical period from the historical traffic records, and randomly select road α from various roads in the city;

[0089] Step S303: Analyze the influence degree of the road traffic status between the fth target road and road α, and calculate the road traffic correlation value between the fth target road and road α in each historical period, where the road traffic influence value between the fth target road and road α in the βth historical period is

[0090]

[0091] Where m is the total number of historical periods in the βth historical cycle; is the total number of vehicles passing through the f-th target road in the x-th historical period in the β-th historical cycle; is the average value of characteristic vehicles on the f-th target road in the β-th historical period; is the total number of vehicles passing through road α in the xth historical period in the βth historical cycle; is the average value of characteristic vehicles on road α in the βth historical period;

[0092] Step S304: Calculate the marked traffic impact value R between the fth target road and road α f,α :

[0093]

[0094] Where n is the total number of historical cycles of the fth target road; is the road traffic impact value between the f-th target road and road α in the y-th historical period;

[0095] Step S305: when the marked traffic impact value between the f-th target road and the road α is greater than a preset marked traffic impact threshold, it is determined that the road traffic states of the f-th target road and the road α affect each other, and the road α is recorded as a marked impact road of the f-th target road;

[0096] Step S306: Acquire and aggregate the marked impact roads of each target road in the current cycle to obtain target road traffic impact data of the target road in the current cycle;

[0097] Step S400: acquiring target roads in the current cycle, acquiring target road traffic impact data of the target roads, focusing on monitoring the target roads in the current cycle, and intelligently managing the roads of the city in the current cycle based on the target road traffic impact data of the target roads;

[0098] Wherein, step S400 includes:

[0099] Step S401: acquiring each target road in the current cycle, acquiring target road traffic impact data of each target road, acquiring marked roads in the current cycle, and dispatching staff to perform on-site road maintenance on the marked roads in the current cycle;

[0100] Step S402: obtaining the time periods of each target road in the current cycle when the vehicle traffic conditions are determined to be abnormal, dispatching staff to maintain the traffic order on the target road during the time periods when the vehicle traffic conditions are determined to be abnormal, and focusing on monitoring the vehicle traffic conditions of the target road markings during the time periods when the vehicle traffic conditions are determined to be abnormal according to the target road traffic impact data of each target road, and intelligently managing the road traffic in the city in combination with the actual conditions of the areas where the roads are located;

[0101] In order to better implement the above method, a smart city information management system is also proposed, which includes a marked road module, a target road module, a target road traffic impact data module, and an intelligent management module;

[0102] A marked road module is used to obtain historical road traffic accident records of roads in the city, extract historical road traffic accident data from the historical road traffic accident records, analyze the traffic accident conditions of roads in the city, and obtain marked roads;

[0103] The target road module is used to analyze the vehicle traffic conditions on the marked road in the current cycle according to the historical traffic data of the marked road, and obtain the target road of the current cycle;

[0104] The target road traffic impact data module is used to analyze the impact degree of the road traffic status between the target road and different roads in the city, and obtain the target road traffic impact data of the target road;

[0105] An intelligent management module is used to focus on monitoring target roads in the current cycle and to intelligently manage the city's roads in the current cycle based on target road traffic impact data of the target roads;

[0106] Wherein, the marked road module includes a marked road accident value unit and a marked road unit;

[0107] A marked road accident value unit is used to obtain the maximum value of the distance time between each road and the current cycle, obtain the minimum value of the distance time between each road and the current cycle, and calculate the marked road accident value of each road;

[0108] A marked road unit is used to determine the road according to the marked road accident value of the road and obtain various marked roads in the city;

[0109] Among them, the target road module includes a characteristic vehicle quantity unit and a target road unit;

[0110] A characteristic vehicle quantity unit is used to calculate the characteristic vehicle quantity of the marked road in each period in the current cycle;

[0111] The target road unit is used to obtain the total number of time periods in the marked roads in the current cycle that are determined to have abnormal vehicle traffic conditions, and obtain the target roads in the current cycle;

[0112] Among them, the target road traffic impact data module includes a marked traffic impact value unit and a target road traffic impact data unit;

[0113] A marked traffic impact value unit, used for calculating the marked traffic impact value between each target road and each road;

[0114] The target road traffic impact data unit is used to acquire and collect each marked impact road of each target road in the current cycle to obtain the target road traffic impact data of the target road in the current cycle;

[0115] Wherein, the intelligent management module includes an intelligent management unit;

[0116] The intelligent management unit is used to obtain the time periods during the current cycle when the vehicle traffic conditions of each target road are determined to be abnormal, and dispatch staff to maintain the traffic order on the target road during the time periods when the vehicle traffic conditions are determined to be abnormal. According to the target road traffic impact data of each target road, during the time periods when the vehicle traffic conditions of each target road are determined to be abnormal, the vehicle traffic status of the target road affected by the marking is monitored in a key manner, and the road traffic in the city is intelligently managed in combination with the actual conditions of the areas where the roads are located.

[0117] In this embodiment:

[0118] In the current cycle, the areas where each road in the city is located are obtained, and the relevant information of the permanent population and enterprises in the area is obtained, so as to perform intelligent management of road traffic in the city. For example, when there are marked roads 1, marked roads 2 and marked roads 3 in the current cycle, among which there are a large number of enterprises in the area where marked road 1 is located, the maintenance time of marked road 1 is concentrated on holidays and after rush hour. The number of permanent residents in the area where marked road 2 is located is large, so the maintenance time of marked road 2 is concentrated on working days. The number of permanent residents and enterprises in the area where marked road 3 is located is small, so the maintenance priority of marked road 3 is adjusted to marked road 3;

[0119] For example, there is a target road 1 in the current cycle, wherein the target road 1 is judged to have abnormal vehicle traffic conditions during the second and third periods of the current cycle, and the marked affected road of the target road 1 of the current cycle is road 5, and the information related to the enterprises and permanent residents in the areas where the target road 1 and road 5 are located is obtained. It can be known that there are many enterprises in the area where the target road 1 is located, and there are many permanent residents on Road 5. Therefore, it can be known that the excessive number of vehicles passing through Road 5 is caused by the employees of the enterprises in the target road 1 going home from get off work. If it is detected that the number of vehicles passing through the road has been significantly reduced for a certain period of time during the period when the target road 1 is judged to have abnormal vehicle traffic conditions, the monitoring intensity of Road 5 is appropriately reduced in the current cycle.

[0120] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0121] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A smart city information management method based on multi-source data, characterized in that: The method comprises: Step S100: constructing a smart city information management cloud platform, obtaining historical road traffic accident records of roads in the city, extracting historical road traffic accident data from the historical road traffic accident records, analyzing the traffic accident conditions of roads in the city, and obtaining marked roads; Step S200: obtaining a marked road in the city, obtaining a historical traffic record of the marked road, extracting historical traffic data from the historical traffic record, and analyzing the vehicle traffic conditions in the marked road in the current cycle according to the historical traffic data of the marked road to obtain a target road in the current cycle; Step S300: obtaining a target road in the current cycle, obtaining historical traffic records of roads in the city, analyzing the degree of influence of road traffic conditions between the target road and different roads in the city, and obtaining target road traffic influence data of the target road; The step S300 includes: Step S301: Obtain each target road in the city in the current cycle, obtain the time period in which the vehicle traffic condition of each target road is determined to be abnormal in the current cycle, and analyze the influence degree of the traffic condition between each target road and each road in the city in the current cycle, wherein the specific analysis process of the influence degree between the f-th target road and each road in the city is to obtain the average value of the total number of vehicles passing through the f-th target road in each historical period in each historical cycle, and record the average value as the characteristic vehicle average value of the f-th target road in each historical cycle; Step S302: Obtain historical traffic records of various roads in the city in various historical periods, extract the total number of vehicles passing through the road in the historical period from the historical traffic records, and randomly select road α from various roads in the city; Step S303: Analyze the influence degree of the road traffic status between the f-th target road and the road α, and calculate the road traffic correlation value between the f-th target road and the road α in each historical period, wherein the road traffic influence value between the f-th target road and the road α in the β-th historical period is Wherein, m is the total number of historical time periods in the βth historical period; is the total number of vehicles passing through the f-th target road in the x-th historical period in the β-th historical cycle; is the average value of characteristic vehicles of the f-th target road in the β-th historical period; is the total number of vehicles passing through the road α in the xth historical period in the βth historical cycle; is the average value of characteristic vehicles of the road α in the βth historical period; Step S304: Calculate the marked traffic impact value R between the fth target road and the road α f,α : Where n is the total number of historical cycles of the fth target road; is the road traffic impact value between the f-th target road and the road α in the y-th historical period; Step S305: When the marked traffic impact value between the f-th target road and the road α is greater than a preset marked traffic impact threshold, it is determined that the road traffic states of the f-th target road and the road α affect each other, and the road α is recorded as a marked impact road of the f-th target road; Step S306: Acquire and aggregate the marked impact roads of the target roads in the current cycle to obtain the target road traffic impact data of the target roads in the current cycle; Step S400: acquiring a target road in the current cycle, acquiring target road traffic impact data of the target road, focusing on monitoring the target road in the current cycle, and intelligently managing the city's roads in the current cycle based on the target road traffic impact data of the target road; The step S400 includes: Step S401: acquiring each target road in the current cycle, acquiring target road traffic impact data of each target road, acquiring marked roads in the current cycle, and dispatching staff to perform on-site road maintenance on the marked roads in the current cycle; Step S402: Obtain the time periods during the current cycle during which the vehicle traffic conditions of each target road are determined to be abnormal, dispatch staff to maintain traffic order on the target road during the time periods during which the vehicle traffic conditions are determined to be abnormal, and focus on monitoring the vehicle traffic status of the target road markings that affect the target road based on the target road traffic impact data during the time periods during which the vehicle traffic conditions of each target road are determined to be abnormal, and intelligently manage the road traffic in the city in combination with the actual conditions of the areas where the roads are located.

2. The smart city information management method based on multi-source data according to claim 1 is characterized in that: The step S100 includes: Step S101: constructing a smart city information management cloud platform, obtaining each historical road traffic accident record of each road in the city, and extracting the historical road traffic accident data of the road from the historical road traffic accident records of the roads in the city, wherein the historical road traffic accident data is the total number of accident vehicles in the historical road traffic accident records; Step S102: Obtain the time point when the traffic accident occurred in the historical road traffic record, obtain the time length of the distance between each historical road traffic accident record of each road and the current cycle, obtain the maximum value of the distance between each historical road traffic accident record of each road and the current cycle, obtain the minimum value of the distance between each historical road traffic accident record of each road and the current cycle, and calculate the marked road accident value of each road, wherein the marked road accident value E of the ath road in the city is a : Among them, T a,max is the maximum value of the duration of each historical road traffic accident record of the ath road and the distance from the current cycle; T a,min is the minimum value of the time between each historical road traffic accident record of the ath road and the current cycle; j is the total number of historical road traffic accident records of the ath road; S a,i is the total number of accident vehicles involved in the i-th historical road traffic accident record of the a-th road; Step S103: When the marked road accident value of the a-th road is greater than a preset marked road accident threshold, it is determined that road traffic accidents on the a-th road occur frequently, and the a-th road is recorded as a marked road, and each marked road in the city is obtained.

3. The smart city information management method based on multi-source data according to claim 2 is characterized in that: The step S200 includes: Step S201: setting a characteristic unit duration, dividing the historical cycle according to the characteristic unit duration, dividing the historical cycle into a number of historical time periods, wherein the distance duration between adjacent historical time periods in the historical cycle is the characteristic unit duration, monitoring the vehicle traffic status of the marked road in each historical time period, and obtaining each historical traffic record of the marked road; Step S202: setting a unit time length, obtaining each historical traffic record of each marked road in the city, and collecting the historical traffic records in the same historical period of the marked roads, wherein the distance time length between two adjacent historical periods is the unit time length, and extracting historical traffic data from the historical traffic records, wherein the historical traffic data is the total number of vehicles passing through the marked roads in the historical period where the historical traffic records are located; Step S203: Based on the characteristic unit time length, the current cycle is divided into a number of time periods, and the vehicle traffic conditions of each marked road in the number of time periods in the current cycle are analyzed, wherein the specific process of analyzing the vehicle traffic conditions of the b-th marked road in the c-th time period in the current cycle is to obtain the total number of vehicles passing through the b-th marked road in each historical time period in each historical cycle; Step S204: when the total number of vehicles passing through the bth marked road in the cth historical period in each historical cycle is greater than a preset threshold of the number of passing vehicles, it is determined that the vehicle traffic condition of the bth marked road in the cth period in the current cycle is abnormal; Step S205: When the total number of vehicles passing through the bth marked road in the cth historical period in a certain historical cycle is less than the preset threshold value of the number of vehicles passing through, the marked vehicle traffic change value of the bth marked road in the cth historical period in each historical cycle is calculated, wherein the marked vehicle traffic change value of the bth marked road in the cth historical period in the qth historical cycle is in, is the total number of vehicles passing through the bth marked road in the cth historical period in the qth historical cycle; is the total number of vehicles passing through the bth marked road in the cth historical period in the q-1th historical cycle; Step S206: Obtain the median of the change value of the marked vehicle traffic in the cth historical period in each historical cycle for the bth marked road Get the total number of vehicles passing through the bth marked road in the cth historical period in the historical cycle adjacent to the current cycle Calculate the number of characteristic vehicles in the cth period of the bth marked road in the current cycle Step S207: when the number of characteristic vehicles of the bth marked road in the cth time period in the current cycle is greater than a preset characteristic vehicle number threshold, it is determined that the vehicle traffic condition of the bth marked road in the cth time period in the current cycle is abnormal; Step S208: Obtain the total number of time periods in the current cycle in which the vehicle traffic condition of the b-th marked road is determined to be abnormal. When the total number of time periods is greater than a preset time period number threshold, the vehicle traffic condition of the b-th marked road in the current cycle is determined to be abnormal, and the b-th marked road is recorded as a target road.

4. A smart city information management system using the smart city information management method based on multi-source data as described in any one of claims 1 to 3, characterized in that: The smart city information management system includes a marked road module, a target road module, a target road traffic impact data module, and an intelligent management module; The marked road module is used to obtain historical road traffic accident records of roads in the city, extract historical road traffic accident data from the historical road traffic accident records, analyze the traffic accident conditions of the roads in the city, and obtain marked roads; The target road module is used to analyze the vehicle traffic conditions on the marked road in the current cycle according to the historical traffic data of the marked road, and obtain the target road of the current cycle; The target road traffic impact data module is used to analyze the impact degree of the road traffic status between the target road and different roads in the city, and obtain the target road traffic impact data of the target road; The intelligent management module is used to focus on monitoring the target road in the current cycle, and based on the target road traffic impact data of the target road, intelligently manage the city's roads in the current cycle.

5. The smart city information management system according to claim 4, characterized in that: The marked road module includes a marked road accident value unit and a marked road unit; The marked road accident value unit is used to obtain the maximum value of the distance time between each road and the current cycle, obtain the minimum value of the distance time between each road and the current cycle, and calculate the marked road accident value of each road; The marked road unit is used to determine the road according to the marked road accident value of the road, and obtain various marked roads in the city.

6. The smart city information management system according to claim 4, characterized in that: The target road module includes a characteristic vehicle quantity unit and a target road unit; The characteristic vehicle quantity unit is used to calculate the characteristic vehicle quantity of the marked road in each time period in the current cycle; The target road unit is used to obtain the total number of time periods in the marked roads in the current cycle that are determined to have abnormal vehicle traffic conditions, and obtain the target roads in the current cycle.

7. The smart city information management system according to claim 4, characterized in that: The target road traffic impact data module includes a marked traffic impact value unit and a target road traffic impact data unit; The marked traffic impact value unit is used to calculate the marked traffic impact value between each target road and each road; The target road traffic impact data unit is used to acquire and collect each marked impact road of each target road in the current cycle to obtain the target road traffic impact data of the target road in the current cycle.

8. The smart city information management system according to claim 4, characterized in that: The intelligent management module includes an intelligent management unit; The intelligent management unit is used to obtain the time periods during the current cycle when the vehicle traffic conditions of each target road are determined to be abnormal, and dispatch staff to maintain traffic order on the target road during the time periods when the vehicle traffic conditions are determined to be abnormal, and based on the target road traffic impact data of each target road, during the time periods when the vehicle traffic conditions of each target road are determined to be abnormal, focus on monitoring the vehicle traffic status of the target road affected by the markings, and intelligently manage the road traffic in the city in combination with the actual conditions of the areas where the roads are located.

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