CN114841679B - Intelligent management system for vehicle running data - Google Patents
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Abstract
The invention relates to the technical field of data processing, in particular to an intelligent management system for vehicle driving data, which comprises: the vehicle terminal comprises a vehicle real-time positioning module, an operation statistical module, an alarm module, a vehicle terminal of a travel statistical module, a vehicle application module and a user terminal of a vehicle management module, wherein wireless communication is carried out between the vehicle terminal and the user terminal, the vehicle terminal comprises a data acquisition module, a first calculation unit, a data segmentation unit, a second calculation unit, a third calculation unit and a compression storage module, the influence data of a vehicle are acquired through the vehicle terminal, the influence data are calculated and analyzed to obtain the importance degree of the segmentation data, and the mode of compressing and storing the segmentation data is selected according to the importance degree and the importance degree threshold value.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an intelligent management system for vehicle driving data.
Background
With the development of society and improvement of living standard of people, cars are driven by a plurality of families, and due to the increase of cars, traffic accidents frequently occur, so that a vehicle management system is provided for the prior art of vehicle management.
However, in the course of the vehicle management course statistics, the course statistics module can record the data of the vehicle state and the running time in the vehicle running process in real time, so that the accident responsibility can be conveniently determined when an accident occurs.
However, the data volume of these vehicles in the driving process is relatively large, and the data can be replaced after being stored for a certain time, and if the data cannot be processed effectively, the data will be lost, thereby affecting the analysis efficiency of the vehicle data.
Therefore, it is desirable to provide an intelligent management system for vehicle driving data to solve the above problems.
Disclosure of Invention
The invention provides an intelligent management system for vehicle driving data, which aims to solve the existing problems.
The intelligent management system for the vehicle driving data adopts the following technical scheme:
the method comprises the following steps: vehicle terminal and user terminal, vehicle terminal and user terminal carry out wireless communication through cloud ware, vehicle terminal includes:
the data acquisition module is used for acquiring influence data of surrounding vehicles and the vehicle on the driving influence of the vehicle in the driving process of the vehicle in real time, wherein the influence data comprises: the speed of the vehicle, the braking force, the rotating speed and the rotating angle of the steering wheel, the speed and the number of surrounding vehicles and the distance between the vehicle and the surrounding vehicles;
a data analysis processing module, comprising: the first calculation unit is used for acquiring a first influence degree of surrounding vehicles on the vehicle in the driving process and each mutation degree corresponding to the influence data of the vehicle per se according to the influence data; the data segmentation unit is used for constructing a corresponding mutation degree curve of which the mutation degree changes along with time according to the mutation degree, acquiring maximum mutation time and minimum mutation time according to all the mutation degree curves, and dividing the influence data into a plurality of segmented data according to the maximum mutation time and the minimum mutation time; a second calculation unit for calculating a second degree of influence of each of the segment data, respectively, based on the corresponding degree of mutation of each of the segment data; a third calculation unit for calculating the degree of importance of each segment data to the vehicle based on the first degree of influence and the second degree of influence of each segment data;
and the compression storage module is used for selecting the compression mode of each piece of section data and the storage mode of the compression data according to the importance degree of each piece of section data to the vehicle and the importance degree threshold value.
Further, the first calculation unit includes:
an average speed calculation unit for calculating an average speed of speeds of all surrounding vehicles;
a minimum distance calculation unit that calculates a minimum distance between the vehicle and a surrounding vehicle;
and the first influence degree calculation unit is used for calculating a first influence degree according to the average speed, the minimum distance and the speed of the vehicle.
Further, the first calculation unit includes:
a direction sudden change degree calculation unit for calculating a direction sudden change degree of the steering wheel based on the speed of the vehicle itself and the rotational speed of the steering wheel, which affect data at each time;
a speed sudden change degree calculation unit for calculating a speed sudden change degree of the own speed of the vehicle in each period according to the own speed of the vehicle of the influence data at each moment;
and the braking force mutation degree calculating unit is used for calculating the braking force mutation degree of the vehicle per se in each time interval according to the vehicle braking force of the influence data at each moment.
Further, the data segmentation unit includes:
the curve construction unit is used for constructing mutation degree curves of which each mutation degree changes along with time in the same coordinate system;
the time point screening unit is used for acquiring mutation starting time points and mutation ending time points corresponding to the time periods in which mutation occurs in each mutation degree curve from the same coordinate system of the curve construction unit, and selecting the minimum mutation starting time point in all the mutation starting time points and the maximum mutation ending time point in all the mutation ending time points;
the time period segmenting unit is used for recording data corresponding to the time from the minimum mutation starting time point to the maximum mutation ending time point as a mutation time period, selecting time periods corresponding to the same duration before and after the mutation time period as a pre-mutation time period and a post-mutation time period, and recording other data as unsegmented time periods;
and the segmentation determining unit is used for sequentially recording each segmentation data corresponding to the pre-mutation period, the post-mutation period and the non-segmentation period which are screened by the time period screening unit as pre-mutation data, mutation period data, post-mutation data and non-segmentation data.
Further, the compression storage module comprises:
a threshold setting unit for setting an importance threshold in advance;
the judging unit is used for respectively judging the importance degree corresponding to each segment data and the size of the importance degree threshold;
the compression selection unit is used for selecting the compression mode of each segment data according to the judgment result of the judgment unit;
and the storage selection unit is used for selecting the storage mode of each segment data according to the judgment result of the judgment unit.
Further, the compression selecting unit includes:
the first compression unit is used for carrying out lossy compression on each segment data corresponding to all the importance degrees smaller than the importance degree threshold;
and the second compression unit is used for performing lossless compression on each segment data corresponding to all the importance degrees greater than the importance degree threshold value.
Further, the memory selection unit includes:
the first storage unit is used for storing each section data of which all the importance degrees are smaller than the importance degree threshold value into the cache region;
the sorting unit is used for sorting all the segmented data with the importance degrees larger than the importance degree threshold value according to the corresponding importance degrees from large to small;
and the second storage unit is used for sequentially storing the compressed data according to the magnitude sequence of the importance degrees and storing the compressed data in a stable storage area.
Further, the compressed storage module further comprises:
the buffer updating unit is used for calculating the difference value between each influence data of the segmented data corresponding to each compressed data to be stored and each influence data corresponding to the previous time stored in the buffer during each storage, storing the difference value and the segmented data of the current time into the buffer and covering the segmented data corresponding to the previous time;
and the stable storage area updating unit is used for overwriting the stored compressed data with the importance degree smaller than that corresponding to the compressed data in the stable storage area when the compressed data corresponding to the segmented data is stored every time after the stable storage area is full.
The beneficial effects of the invention are: according to the intelligent management system for the vehicle driving data, influence data acquired in real time are analyzed, then the data are segmented according to the mutation degree of the influence data, the distinction between abnormal segment data and normal segment data is realized, then the compression mode and the storage mode of each segment of data are selected according to the importance degree of the segment data, and the segment data corresponding to high importance degree are subjected to lossless compression, preferential storage and stable storage according to the order of the importance degree, so that the storage of the important data is ensured, the analysis amount of the vehicle data is reduced, and the efficiency of workers is improved.
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In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a system diagram illustrating the general steps of an embodiment of the intelligent management system for vehicle driving data of the present invention;
FIG. 2 is a schematic diagram of the data analysis processing module of FIG. 1;
FIG. 3 is a graph of the degree of mutation with time for each degree of mutation;
fig. 4 is a schematic diagram of various time periods after segmentation.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
In the embodiment of the intelligent management system for vehicle driving data of the invention, the vehicles covered in the scheme include but are not limited to: public bus, public service car, private vehicle, operation vehicle (all operation vehicles such as taxi, net appointment car, bus, long and short distance passenger car), operation vehicle (all operation vehicles such as sprinkler, fog gun car, cleaning cart), and all types of vehicles, vehicles and devices, the present embodiment mainly explains the management of public service car, as shown in fig. 1, the system includes: vehicle terminal and user terminal, vehicle terminal and user terminal carry out radio communication through cloud server, and vehicle terminal, user terminal and cloud server constitute a management platform, and is specific, and vehicle terminal includes: data acquisition module 1, data analysis and processing module 2 and compression storage module 3, data acquisition module 1 is used for obtaining in real time that the vehicle goes in-process surrounding vehicle, this vehicle self to the influence data that this vehicle went the influence, and is specific, and the influence data includes: the speed and the braking force of the vehicle, the rotating speed and the rotating angle of a steering wheel, the speed and the number of surrounding vehicles and the distance between the vehicle and the surrounding vehicles are acquired by utilizing corresponding sensors or cameras; secondly, the data acquisition module 1 further includes a vehicle track acquisition module and a travel statistics module to make the whole system more complete, as shown in fig. 2, the data analysis processing module 2 includes: the system comprises a first calculating unit 201, a data segmenting unit 202, a second calculating unit 203 and a third calculating unit 204, wherein the first calculating unit 201 is used for acquiring a first influence degree of surrounding vehicles on the vehicles and each mutation degree corresponding to influence data of the vehicles according to the influence data acquired by the data acquisition module 1 in the running process; the data segmenting unit 202 is configured to construct a mutation degree curve of which the corresponding mutation degree changes with time according to the mutation degree calculated by the first calculating unit 201, obtain maximum mutation time and minimum mutation time according to all the mutation degree curves, and segment the influence data into a plurality of segmented data according to the maximum mutation time and the minimum mutation time; the second calculating unit 203 is used for calculating a second degree of influence of each piece of segment data according to the corresponding degree of mutation of each piece of segment data, the third calculating unit 204 is used for calculating the degree of importance of each piece of segment data to the vehicle according to the first degree of influence and the second degree of influence of each piece of segment data, and the compression storage module 3 is used for selecting a compression mode of each piece of segment data and a storage mode of the compressed data according to the degree of importance and the degree of importance threshold of each piece of segment data to the vehicle.
Specifically, the first calculation unit includes: the system comprises an average speed calculation unit, a minimum distance calculation unit, a first influence degree calculation unit, a direction mutation degree calculation unit, a speed mutation degree calculation unit and a brake force mutation degree calculation unit, wherein the average speed calculation unit is used for calculating the average speed of the speeds of all vehicles around the vehicle, which are acquired by a data acquisition module; the minimum distance calculation unit is used for calculating the minimum distance between the vehicle and the surrounding vehicles; the first influence degree calculation unit is configured to calculate a first influence degree of the vehicle according to the average speed, the minimum distance, and the speed of the vehicle, and specifically, calculate the first influence degree according to the following equation (1):
wherein,
indicating vehicles
To a first degree of influence of (a),
as vehicles
Is calculated from the average of all the vehicle speeds around,
indicating vehicles
The minimum distance to the surrounding vehicle,
indicating vehicles
The speed of the motor vehicle is set to be,
indicating vehicles
Number of surrounding vehicles.
Wherein the abrupt direction change degree calculation unit is configured to calculate the abrupt direction change degree of the steering wheel based on the speed of the vehicle itself and the rotational speed of the steering wheel, which affect the data at each time, and calculate the abrupt direction change degree based on the following expression (2):
wherein,
indicating the degree of abrupt change in direction of the steering wheel of the vehicle from time t-1 to time t,
is the angle of rotation of the steering wheel of the vehicle,
indicating the rotational speed of the vehicle steering wheel at the end of the jump at the t-th instant,
indicating that the steering wheel is at
The moment is the rotational speed at which the jump starts,
representing the number of moments, takes the empirical value of 10,
indicating the rotational speed of the vehicle steering wheel at the ith moment,
indicating the rotational speed of the vehicle steering wheel at the i-1 th instant.
Wherein the speed sudden change degree calculation unit is configured to calculate the speed sudden change degree of the vehicle's own speed for each period of time from the vehicle's own speed of the influence data for each time, and calculate the speed sudden change degree according to the following expression (3):
wherein,
a speed abrupt change degree representing the speed of the vehicle itself from time t-1 to time t,
indicating that the vehicle is at the end of the sudden change at the t-th timeThe speed of the vehicle itself is measured,
indicating that the vehicle is at
The individual moment is the vehicle's own speed at the beginning of the sudden change,
representing the number of moments, takes the empirical value of 10,
indicating the vehicle's own speed at the jth instant,
indicating the speed of the vehicle itself at the j-1 th moment.
Wherein, the brake dynamics sudden change degree calculating unit is used for calculating the dynamics sudden change degree of the self brake dynamics of the vehicle in each time interval according to the vehicle brake dynamics of the influence data at each moment, and the dynamics sudden change degree is calculated according to the following formula (4):
wherein,
indicating the degree of sudden change of the braking force of the vehicle from t-1 to t,
the braking force of the vehicle is shown to be
The moment is the braking force at the end of the sudden change,
indicating that the steering wheel is at
The moment is the braking force at the beginning of the sudden change,
representing the number of moments, takes the empirical value of 10,
indicating the braking force of the vehicle at the ith moment,
the braking force of the vehicle at the i-1 th moment is shown.
Specifically, the second calculation unit calculates the second degree of influence of each of the segmented data using the following equation (5):
wherein,
a degree coefficient indicating the degree of the directional jump,
a degree coefficient indicating the degree of the abrupt change in velocity,
degree coefficient for representing degree of force mutation, after the vehicle is changed, every second influence degree in time before and after the change is different, so that setting is carried out
；
Indicates the degree of directional mutation of the nth segmented data,
indicates the degree of speed mutation of the nth segmented data,
indicating the degree of strength mutation of the nth segment data.
Specifically, the third calculation unit calculates the degree of importance of each piece of segment data to the vehicle using the following equation (6):
wherein,
indicates the degree of importance of the nth segmented data,
indicating a first degree of influence of the surrounding vehicle on the vehicle,
a second degree of influence of each piece of segment data on the vehicle,
a coefficient representing a first degree of influence,
representing the second influence degree coefficient.
Specifically, the data segmentation unit includes: the system comprises a curve construction unit, a time point screening unit, a time period segmentation unit and a segmentation determination unit, wherein the curve construction unit is used for constructing mutation degree curves of each mutation degree changing along with time in the same coordinate system, specifically, as shown in fig. 3, a direction mutation degree curve is constructed according to the direction mutation degree in the same time period, a speed mutation degree curve is constructed according to the speed mutation degree, and a force mutation degree curve is constructed according to the force mutation degree, the three mutation degree curves are constructed in the same coordinate system, the coordinate system takes a time point as a horizontal coordinate, and each corresponding mutation degree is a vertical coordinate; the time point screening unit is used for acquiring mutation starting time points and mutation ending time points corresponding to the time periods in which mutation occurs in each mutation degree curve from the same coordinate system of the curve construction unit, and selecting the minimum mutation starting time point in all the mutation starting time points and the maximum mutation ending time point in all the mutation ending time points; the time period segmenting unit is configured to record data corresponding to a time period from a minimum mutation starting time point to a maximum mutation ending time point as a mutation time period, select time periods corresponding to the same time length before and after the mutation time period as a pre-mutation time period and a post-mutation time period, record other data as non-segmented time periods, and set the time length as K, and as shown in fig. 4, the segment determining unit is configured to record each segment data corresponding to the pre-mutation time period, the post-mutation time period, and the non-segmented time period screened by the time period screening unit as pre-mutation data, post-mutation data, and non-segment data in sequence.
Specifically, the compression storage module includes: the device comprises a threshold setting unit, a judging unit, a compression selecting unit and a storage selecting unit, wherein the threshold setting unit is used for presetting an importance degree threshold; the judging unit is used for respectively judging the importance degree corresponding to each segment data and the size of the importance degree threshold; the compression selecting unit is configured to select a compression mode of each segment data according to a judgment result of the judging unit, and specifically, the compression selecting unit includes: the first compression unit is used for carrying out lossy compression on all the segmented data corresponding to the importance degree smaller than the importance degree threshold; the storage selecting unit is configured to select a storage manner of each piece of segment data according to a judgment result of the judging unit, and specifically, the storage selecting unit includes: the device comprises a first storage unit, a sorting unit and a second storage unit, wherein the first storage unit is used for storing each segment data of which all importance degrees are smaller than the importance degree threshold value in a cache region; the sorting unit is used for sorting all the segmented data with the importance degrees larger than the importance degree threshold value according to the corresponding importance degrees from large to small; and the second storage unit stores the compressed data in the order of the importance degrees and stores the compressed data in the stable storage area.
Specifically, the compressed storage module further includes: the device comprises a cache area updating unit and a stable storage area updating unit, wherein the cache area updating unit is used for calculating the difference value between each influence data of the segmented data corresponding to each compressed data to be stored and each influence data corresponding to the previous moment stored in the cache area during each storage, storing the difference value and the segmented data of the current moment into the cache area and covering the segmented data corresponding to the previous moment, and the stable storage area updating unit is used for covering the stored compressed data with the importance degree smaller than that corresponding to the compressed data in the stable storage area during each storage of the compressed data corresponding to the segmented data after the stable storage area is full.
The user terminal further includes: the system comprises an administrator port and a member port, wherein the administrator port is used for registering an administrator account, uploading an identity card photo, selecting an individual user or an organization user through face recognition, and establishing organization information (information such as organization name, organization type, organization industry, organization introduction, organization number and the like) and uploading a business license when the organization user is selected; the member port is used for registering an account number for a company member, firstly uploading an identity card photo (a driver also needs to upload a driving license photo) for face recognition authentication, searching and joining in a company organization, submitting an outgoing vehicle application by a driver through a mobile phone APP on a user terminal when the driver uses the vehicle, then selecting a vehicle using type (public vehicle application, private vehicle public use and the like), applying for the vehicle and filling information such as a vehicle starting point, an outgoing destination, a route point, an outgoing type (single-way or round-trip), outgoing time, traffic time, vehicle number and the like, uploading a vehicle driving license for the first time, filling information such as a vehicle brand, a vehicle type and the like, and calculating oil consumption and cost by a system; specifically, after the vehicle is used, the system automatically generates a driving track map, and generates a detailed bill of the vehicle cost of this time through system analysis and calculation according to the recorded actual mileage, energy consumption and cost per kilometer, and the like, specifically, after the vehicle is used for outgoing every time, the system generates a detailed bill of the vehicle outgoing this time, the contents comprise date, time, the driving track map, mileage, fuel oil quantity, fuel oil cost, vehicle loss cost, total cost and the like, when an illegal state, a temporary travel path point increase and other abnormal states occur, the abnormal states are displayed by different colors, an administrator can increase or reduce the content of the bill according to the needs, the bill can be exported, stored and printed by a member port, and reports can be automatically generated according to the vehicle outgoing conditions of days, times, months, seasons and years, designated electronic or exported data and prints are sent to the member, and the mobile phone APP of the user terminal calculates the outgoing cost increase rate, the number of outgoing vehicles, the mailbox, the total journey number of vehicles, the number of vehicles for outgoing, the outgoing vehicles of outgoing vehicles and the highest frequency of outgoing vehicles, and the like, and further comprises: the driver comprehensive condition evaluation database is used for uploading identity card photos and performing face recognition when a driver registers for the first time, the system identifies the driver basis according to a unique identity card bound by each driver, records various driving conditions of the driver according to the bound identity card, calculates and scores through the system to form a driver comprehensive quality scoring system, the scores comprise traffic rule compliance during outgoing, driving smoothness (judgment of rapid acceleration, rapid deceleration, rapid turning and the like according to electronic map data and vehicle terminal equipment), data of illegal outgoing driving and the like, and further comprise background management authorities which are used for setting multilevel management authorities at the background, hierarchical management can be performed according to a framework set by an enterprise unit, each level can open corresponding authorities such as setting, checking and modifying according to post responsibility, management is convenient, privacy safety is protected, when the vehicle is used publicly, the system can collect user data only when the vehicle is used (vehicle application is submitted), and no personal information is collected at other time.
The vehicle terminal further includes: the positioning module is used for acquiring the real-time position, the driving path, the driving track, the driving mileage and the time information of the vehicle according to technologies such as GPS positioning, beidou satellite positioning, cellular data positioning and WiFi positioning, and also acquiring the information such as the real-time position, the driving path, the driving track, the driving mileage and the time of the vehicle through terminal equipment of the vehicle or additional terminal equipment (such as OBD equipment, video acquisition equipment, audio acquisition equipment, face recognition equipment, electronic oil-float equipment and the like). Note: the mobile phone APP of the member port and the mobile phone APP of the vehicle own terminal device or the additional terminal device (such as an OBD device, a video acquisition device, an audio acquisition device, a face recognition device, an electronic oil-floating device, etc.) can be used simultaneously, or can be realized by using the mobile phone APP of the member port alone, the data acquisition module further acquires energy consumption data such as fuel quantity, fuel gas quantity, power consumption (new energy automobile) of the vehicle according to the vehicle type (brand, model, etc.), and according to daily oil price, daily gas price, and charging price data of the internet, the actual energy consumption cost of the outgoing vehicle is automatically calculated by using the data analysis processing module of the system according to the map driving track distance, specifically, the actual energy consumption cost is calculated more accurately by acquiring vehicle dynamic and static basic vehicle information such as the current oil quantity, throttle opening, oil injection quantity, engine speed, etc. through the vehicle own terminal device or the additional terminal device (such as an OBD device, a video acquisition device, an audio acquisition device, a face recognition device, an electronic oil-floating device, etc.), and the average per-loss cost when the vehicle type (brand, kilometer, etc.) is acquired, and the average per vehicle loss when the vehicle type loss includes but is not limited to: the method comprises the following steps of acquiring a map function, illegal photographing points, traffic flow data, a real-time position of a vehicle, a driving direction and current speed information by self-building or butting a third-party electronic map and a navigation system (such as a hectometer, a grand scale and the like) interface through a data acquisition module, simultaneously recording an actual outgoing driving track, actual driving mileage, rapid acceleration, rapid deceleration, rapid turning and overspeed information of the vehicle, acquiring an actual driving position according to the data acquisition module of the system in order to prevent the vehicle route from deviating from the track, setting a starting point and a destination of the system which are filled according to a vehicle-using application as an outgoing normal route through an electronic map navigation planning route, planning a plurality of normal routes through the electronic map navigation, and judging that the current vehicle is illegal when the actual driving position is no longer normal route, wherein the function is mainly used for standard management of a platform vehicle, and specifically illegal states: the system judges that the deviation from the planned path occurs, and whether the new outgoing path point is added or not is prompted by the system voice, and then the new outgoing path point is not added successfully or is not responded. Temporarily increasing an outgoing travel path point: the system judges that a deviation from the planned path occurs, and whether the new outgoing path point is added or not is prompted by the system voice, then the outgoing path point is successfully added, and the following steps are carried out: when the system judges the violation state, the system can push an early warning message to a management responsible person set by the system through modes of pushing messages, sending short messages, dialing voice call voice prompts and the like of a mobile phone APP of a member port (a user can set the system by himself at the background), the mobile phone APP at the management port can check information such as vehicle position, vehicle speed, track and the like, when traffic is finished after the traffic is carried out, a generated report marks violation behaviors with red characters and carries out violation behavior recording on a driver, the violation records are bound with an identity card number in a system database, and the violation records cannot be modified without special permission; the system judges that an outgoing path point is temporarily increased, the system can push a warning message to a management responsible person set by the system through a mobile phone APP (application) of a user side, a short message prompt is sent and the like (a user can set the message at the background), the mobile phone APP at a management port can check information such as vehicle position, vehicle speed, track and the like, and meanwhile the system automatically generates an application for increasing a new outgoing place; the vehicle belongs to private (private public use) or a bus is not provided with a vehicle self terminal device or an additional terminal device (such as an OBD device, a video acquisition device, an audio acquisition device, a face recognition device, an electronic oil-floating device and the like), and a manager or an account number assigned with related authority can view the real-time position and track of the vehicle during the period of external use (submitted use application) through a mobile phone APP or a computer of a management port.
The electronic fence module is used for setting an allowable movement range or a forbidden movement range through an electronic map circling area or a manual input area, and when the acquired vehicle position is inconsistent with the set area, the system judges that the vehicle is in an illegal state
In summary, the present invention provides an intelligent management system for vehicle driving data, which analyzes impact data collected in real time, segments the data according to the degree of mutation of the impact data, and distinguishes abnormal segment data from normal segment data, selects a compression mode and a storage mode for each segment of data according to the importance degree of the segment data, and performs lossless compression, preferential storage and stable storage for the segment data corresponding to a high importance degree according to the order of importance degree, thereby ensuring the storage of important data, reducing the analysis amount of vehicle data, and improving the efficiency of workers.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (5)
1. An intelligent management system for vehicle driving data, comprising: vehicle terminal and user terminal, vehicle terminal and user terminal carry out radio communication through cloud server, its characterized in that, vehicle terminal still includes:
the data acquisition module is used for acquiring influence data of surrounding vehicles and the vehicle on the driving influence of the vehicle in the driving process of the vehicle in real time, wherein the influence data comprise: the speed of the vehicle, the braking force, the rotating speed and the rotating angle of the steering wheel, the speed and the number of surrounding vehicles and the distance between the vehicle and the surrounding vehicles;
a data analysis processing module, comprising: the first calculation unit is used for acquiring a first influence degree of surrounding vehicles on the vehicle in the driving process and each mutation degree corresponding to the influence data of the vehicle per se according to the influence data; the data segmentation unit is used for constructing a corresponding mutation degree curve of which the mutation degree changes along with time according to the mutation degree, acquiring maximum mutation time and minimum mutation time according to all the mutation degree curves, and dividing the influence data into a plurality of segmented data according to the maximum mutation time and the minimum mutation time; a second calculation unit for calculating a second degree of influence of each of the segmented data, respectively, based on the corresponding degree of mutation of each of the segmented data; a third calculation unit for calculating the degree of importance of each segment data to the vehicle based on the first degree of influence and the second degree of influence of each segment data;
wherein the first calculation unit includes: an average speed calculation unit for calculating an average speed of speeds of all surrounding vehicles; a minimum distance calculation unit that calculates a minimum distance between the vehicle and a surrounding vehicle; a first influence degree calculation unit for calculating a first influence degree according to the average speed, the minimum distance and the speed of the vehicle; a direction sudden change degree calculation unit for calculating a direction sudden change degree of the steering wheel based on the speed of the vehicle itself and the rotational speed of the steering wheel, which affect data at each time; a speed sudden change degree calculation unit for calculating a speed sudden change degree of the own speed of the vehicle in each period according to the own speed of the vehicle of the influence data at each moment; the braking force mutation degree calculating unit is used for calculating the braking force mutation degree of the vehicle per se in each time period according to the vehicle braking force of the influence data at each moment;
wherein the data segmentation unit includes: the curve construction unit is used for constructing mutation degree curves of which each mutation degree changes along with time in the same coordinate system; the time point screening unit is used for acquiring mutation starting time points and mutation ending time points corresponding to the time periods in which mutation occurs in each mutation degree curve from the same coordinate system of the curve construction unit, and selecting minimum mutation starting time points in all the mutation starting time points and maximum mutation ending time points in all the mutation ending time points; the time period segmenting unit is used for recording data corresponding to the time from the minimum mutation starting time point to the maximum mutation ending time point as a mutation time period, selecting time periods corresponding to the same time length before and after the mutation time period as a pre-mutation time period and a post-mutation time period, and recording other data as non-segmented time periods; the segmentation determining unit is used for sequentially recording each segmentation data corresponding to the pre-mutation time period, the post-mutation time period and the non-segmentation time period which are screened by the time period screening unit as pre-mutation data, mutation section data, post-mutation data and non-segmentation data;
and the compression storage module is used for selecting the compression mode of each piece of section data and the storage mode of the compression data according to the importance degree of each piece of section data to the vehicle and the importance degree threshold value.
2. The intelligent management system of vehicle driving data according to claim 1, wherein the compression storage module comprises:
a threshold setting unit for setting an importance threshold in advance;
the judging unit is used for respectively judging the importance degree corresponding to each segmented data and the size of the importance degree threshold;
the compression selection unit is used for selecting the compression mode of each segment data according to the judgment result of the judgment unit;
and the storage selection unit is used for selecting the storage mode of each segment data according to the judgment result of the judgment unit.
3. The intelligent management system of vehicle travel data according to claim 2, wherein the compression selection unit comprises:
the first compression unit is used for carrying out lossy compression on each segment data corresponding to all the importance degrees smaller than the importance degree threshold;
and the second compression unit is used for performing lossless compression on all the segmented data corresponding to the importance degrees larger than the importance degree threshold value.
4. The intelligent management system of vehicle travel data according to claim 2, wherein the storage selection unit includes:
the first storage unit is used for storing each section data of which all the importance degrees are smaller than the importance degree threshold value into the cache region;
the sorting unit is used for sorting all the segmented data with the importance degrees larger than the importance degree threshold value according to the corresponding importance degrees from large to small;
and the second storage unit is used for sequentially storing the compressed data according to the magnitude sequence of the importance degrees and storing the compressed data in a stable storage area.
5. The intelligent management system for vehicle driving data according to claim 4, wherein the compression storage module further comprises:
the buffer area updating unit is used for calculating the difference value between each influence data of the segment data corresponding to each compressed data to be stored and each influence data corresponding to the previous moment stored in the buffer area during each storage, storing the difference value and the segment data of the current moment into the buffer area and covering the segment data corresponding to the previous moment;
and the stable storage area updating unit is used for overwriting the stored compressed data with the importance degree smaller than that corresponding to the compressed data in the stable storage area when the compressed data corresponding to the segmented data is stored every time after the stable storage area is full.
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| CN115883670B (en) * | 2023-02-21 | 2023-05-12 | 湖南格尔智慧科技有限公司 | Medical data analysis and acquisition method and device |
| CN117079358B (en) * | 2023-08-16 | 2024-03-22 | 杭州泛嘉科技有限公司 | Intelligent automobile charging method based on multi-source data |
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