CN113192233A - Data acquisition method, device, equipment and medium - Google Patents
Data acquisition method, device, equipment and medium Download PDFInfo
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- CN113192233A CN113192233A CN202110474691.9A CN202110474691A CN113192233A CN 113192233 A CN113192233 A CN 113192233A CN 202110474691 A CN202110474691 A CN 202110474691A CN 113192233 A CN113192233 A CN 113192233A
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- G—PHYSICS
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- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/008—Registering or indicating the working of vehicles communicating information to a remotely located station
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0841—Registering performance data
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Abstract
The present disclosure relates to a data acquisition method, apparatus, device, and medium. The data acquisition method comprises the following steps: acquiring real-time running data of a vehicle; performing increment acquisition on target operation data in the real-time operation data to obtain increment data, wherein the target operation data are operation data corresponding to the type of the target data; carrying out full change acquisition on the real-time operation data to obtain full change data; transmitting the incremental data and the full-scale change data to a target device. According to the embodiment of the disclosure, all changed vehicle operation data can be collected in real time, storage and calculation resources can be reduced, and system pressure and error probability are reduced.
Description
Technical Field
The present disclosure relates to the field of vehicle data acquisition technologies, and in particular, to a data method, apparatus, device, and medium.
Background
Currently, methods for collecting vehicle operation data include periodic collection methods, variable collection methods, and incremental collection methods. However, in an actual situation, each vehicle operation data can only be configured with one acquisition scheme, which causes a problem that data acquired by configured increments is easy to lose, and is not beneficial to data analysis, the data acquired by configuration change with ultrahigh precision and high frequency change occupies a large amount of resources of a human-machine interface (abbreviated as HMI), and affects the smoothness of use of a user, the data acquired by configuration change with low frequency change and limited enumeration can upload a large amount of repeated invalid data, and the flow bandwidth is wasted, that is, the existing acquisition method of vehicle operation data wastes storage and calculation resources.
In the prior art, in order to improve the accuracy and efficiency of data acquisition, only vehicle operation data confirmed to have strong requirements are generally acquired, however, the acquisition mode can cause that continuous new data needs to be added into a signal acquisition module of a data acquisition system, so that the data needs to be frequently issued, and the system pressure and the error probability are improved.
Disclosure of Invention
To solve the technical problems described above or at least partially solve the technical problems described above, the present disclosure provides a data acquisition method, apparatus, device, and medium.
In a first aspect, the present disclosure provides a data acquisition method, including:
acquiring real-time running data of a vehicle;
performing incremental acquisition on target operation data in the real-time operation data to obtain incremental data, wherein the target operation data is operation data corresponding to the type of the target data;
carrying out full change acquisition on the real-time operation data to obtain full change data;
the incremental data and the full change data are transmitted to the target device.
In one embodiment, the target data type comprises a data type for real-time presentation.
In one embodiment, the incrementally acquiring the target operation data in the real-time operation data to obtain incremental data includes:
determining real-time state data corresponding to the target data type according to the target operation data and first historical operation data corresponding to the target data type;
and taking the real-time state data as incremental data.
In one embodiment, determining real-time status data corresponding to a target data type according to target operation data and first historical operation data corresponding to the target data type includes:
under the condition that the sampling time of the real-time operation data is a first type of sampling time, taking first change data in the target operation data as real-time state data, wherein the first change data is operation data which changes relative to first historical operation data;
and under the condition that the sampling time is the second type of sampling time, the target operation data is used as real-time state data.
In one embodiment, the acquiring the full-scale change of the real-time operation data to obtain the full-scale change data includes:
and taking second change data in the real-time operation data as total change data, wherein the second change data is operation data changed relative to second historical operation data, and the second historical operation data is historical operation data corresponding to the real-time operation data.
In one embodiment, transmitting the incremental data and the full change data to the target device comprises:
packing the incremental data into a first data packet;
packing the full-scale change data into a second data packet;
and adding the first data packet and the second data packet into a transmission queue so as to transmit the first data packet and the second data packet to the target device through the transmission queue.
In one embodiment, packing the delta data into a first data packet comprises:
under the condition that the sampling time of the real-time operation data is the first sampling time in a sampling period, packing the incremental data into a first data packet according to the sampling time and a packet serial number corresponding to the sampling time;
and under the condition that the sampling time of the real-time operation data is the non-first sampling time in the sampling period, packing the incremental data into a first data packet according to the packet serial number corresponding to the sampling time.
In one embodiment, the step of packing the full-scale change data into a second data packet comprises:
under the condition that the sampling time of the real-time operation data is the first sampling time in the sampling period, packaging the full-scale change data into a second data packet according to the sampling time and the packet serial number corresponding to the sampling time;
and under the condition that the sampling time of the real-time operation data is the non-first sampling time in the sampling period, according to the packet sequence number corresponding to the sampling time, the full-scale change data is taken as a second data packet.
In one embodiment, after the first data packet and the second data packet are enqueued for transmission, the method further comprises:
storing the second data packet in the flash memory in case of determining that the transmission of the first data packet and the second data packet fails;
acquiring real-time communication parameters of a communication network;
and under the condition that the real-time communication parameters meet the preset transmission conditions, sequentially adding the data packets stored in the flash memory into a transmission queue so as to transmit the data packets stored in the flash memory to the target equipment through the transmission queue.
In one embodiment, the preset transmission condition is used for determining that a transmission network connected with the vehicle is recovered from an abnormal state to a normal state.
In one embodiment, storing the second packet in the flash memory includes:
under the condition that the space capacity of the free storage space of the flash memory is larger than or equal to the data quantity of the second data packet, storing the second data packet into the free storage space;
and under the condition that the space capacity of the free storage space is smaller than the data quantity of the second data packet, sequentially covering at least one data packet which is firstly stored in the flash memory by using the second data packet.
In one embodiment, the real-time running data is within a preset precision range, the upper limit of the precision range is five digits before the decimal point, and the lower limit of the precision range is five digits after the decimal point.
In a second aspect, the present disclosure provides a data acquisition device comprising: the data acquisition module is configured to acquire real-time running data of the vehicle;
the first processing module is configured to perform incremental acquisition on target operation data in the real-time operation data to obtain incremental data, wherein the target operation data are operation data corresponding to the type of the target data;
the second processing module is configured to perform full-scale change acquisition on the real-time operation data to obtain full-scale change data;
a data transmission module configured to transmit the incremental data and the full change data to the target device.
In a third aspect, the present disclosure provides a data acquisition device, including:
a processor;
a memory for storing executable instructions;
the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the data acquisition method of the first aspect.
In a fourth aspect, the present disclosure provides a computer-readable storage medium storing a computer program which, when executed by a processor, causes the processor to implement the data acquisition method of the first aspect.
Compared with the prior art, the technical scheme provided by the embodiment of the disclosure has the following advantages:
the data acquisition method, the data acquisition device, the data acquisition equipment and the data acquisition medium can be used for carrying out incremental acquisition on target operation data in real-time operation data so as to acquire the data change condition of the target operation data in real time, carrying out full-change acquisition on the real-time operation data so as to acquire all changed vehicle operation data in real time, and acquiring the same real-time operation data in different acquisition modes, so that the data acquisition method, the data acquisition device, the data acquisition equipment and the data acquisition medium are suitable for various acquisition requirements and are used for different data. Meanwhile, the vehicle operation data are acquired in a full-scale change mode, so that storage and calculation resources can be reduced, and the system pressure and the error probability are reduced.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 is a schematic diagram of data acquisition provided by an embodiment of the present disclosure;
fig. 2 is a schematic flow chart of a data acquisition method according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of another data acquisition method provided by the embodiments of the present disclosure;
fig. 4 is a schematic structural diagram of a data acquisition device according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a data acquisition device according to an embodiment of the present disclosure.
Detailed Description
In order that the above objects, features and advantages of the present disclosure may be more clearly understood, aspects of the present disclosure will be further described below. It should be noted that the embodiments and features of the embodiments of the present disclosure may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present disclosure, but the present disclosure may be practiced in other ways than those described herein; it is to be understood that the embodiments disclosed in the specification are only a few embodiments of the present disclosure, and not all embodiments.
In the related art, the collection method of the vehicle operation data includes a periodic collection method, a variation collection method, and an incremental collection method.
The periodic acquisition method refers to acquiring and reporting data at set time intervals, wherein the set time intervals can be 1s, 2s, 10s, 60s and the like, and if the acquired data is not reported successfully due to the network and the like, unreported data can be reissued when the network is normal. However, the disadvantages of the periodic acquisition method are: for data with low-frequency change of signal values or limited enumeration values, a large amount of invalid data can be uploaded, and the flow broadband is wasted; the change acquisition method refers to that vehicle operation data is changed, namely, the vehicle operation data is acquired and reported; when the report is unsuccessful, the unreported data can be reissued. However, the disadvantages of the variant acquisition method are: for data with high precision and high frequency change, the data is collected and reported too frequently, a large amount of resources are occupied, and the use smoothness of a user is influenced; the incremental acquisition method refers to change acquisition, and the change of the acquisition time is uploaded once every 1 second compared with the cloud. However, the drawbacks of the incremental acquisition method are: the data which is not successfully uploaded can be discarded, and the uploaded data is not reissued, so that the historical data is lost, and the analysis requirement cannot be met. In addition to the above, the prior art may also collect only the vehicle operation data that is determined to have a strong demand for the same vehicle data, however, this approach has the disadvantages: the continuous new data needs to be added into a signal acquisition module of the data acquisition system, and if a large amount of new data is acquired, the data needs to be frequently issued, so that the system pressure and the error probability are greatly improved.
In order to solve the above problem, embodiments of the present disclosure provide a data acquisition method, apparatus, device, and medium. The method can be suitable for various acquisition requirements of vehicle operation data, can reduce storage and calculation resources, and can reduce and improve the system pressure and the error probability.
Fig. 1 shows a schematic diagram of a data acquisition. As shown in fig. 1, the schematic diagram is a schematic diagram of a data acquisition system of a vehicle acquiring real-time operation data. Wherein, the data acquisition System 1 comprises a video and audio (HU) subsystem 11, an automobile dashboard Cluster (IPC) subsystem 12, an Integrated Controller Area Network (ICAN) subsystem 13, an Enterprise Gateway (EGW) subsystem 14 and an echo Controller Area Network (ECAN subsystem 15. the HU subsystem 11 comprises a System level Chip (SOC) module 111, a Micro Control Unit (MCU) module 112, a signal acquisition module 113 and a signal transmission module 114. concretely, the real-time operation data S1 is generated by the SOC module 111 in the HU subsystem 11, the real-time operation data S1 is respectively transmitted to the signal acquisition module 113, the IPC subsystem 12 and the IPC module 112, then, the real-time operation data S1 is processed, and the real-time operation data S3 is transmitted to the ICAN subsystem 3513, the ICAN subsystem 13 transmits the real-time operation data S3 to the ECAN subsystem 15; meanwhile, the MCU module 112 processes the real-time operation data S1, transmits the processed real-time operation data S2 to the ECAN subsystem 15, and the ECAN subsystem 15 transmits the real-time operation data S2 to the EGW subsystem 14; then, the EGW subsystem 14 integrates the real-time operation data S2 and the real-time operation data S3 into the real-time operation data S4, and sends the real-time operation data S4 to the signal acquisition module 113, and after the signal acquisition module 113 receives the real-time operation data S4, the signal transmission module 114 may upload the real-time operation data S4 to a target device such as a server, a cloud, and a client.
The vehicle running data acquisition method aims to solve the problems that in the related art, the vehicle running data acquisition mode is single, the occupied storage space is large, the system pressure and the error probability are high, and the like. By adopting the data acquisition system shown in fig. 1, the real-time operation data of the vehicle, such as audio-visual signals in the vehicle, instrument signals of the vehicle, air conditioner signals and the like, is acquired based on the signal acquisition module, the target operation data in the real-time operation data is subjected to incremental acquisition to obtain incremental data, the target operation data is operation data corresponding to the type of the target data, the real-time operation data is subjected to full-change acquisition to obtain full-change data, and the generated incremental data and the generated full-change data are further transmitted to the target equipment through the signal transmission module, so that various acquisition requirements suitable for the vehicle operation data are met, storage and calculation resources can be reduced, and the effects of improving the system pressure and the error probability are reduced.
Next, a data acquisition method provided in the embodiment of the present disclosure is first described.
Fig. 2 shows a schematic flow chart of a data acquisition method provided by an embodiment of the present disclosure. In some embodiments of the present disclosure, the method shown in fig. 2 may be applied to a processor of a vehicle, where the various subsystems and modules shown in fig. 1 may be controlled to perform the following steps.
As shown in fig. 2, the data acquisition method may include the following steps.
And S210, acquiring real-time running data of the vehicle.
The vehicle in the embodiment shown in fig. 2 may be any type of vehicle, and may be an autonomous vehicle or a manually driven vehicle, and the vehicle in this embodiment is preferably an autonomous vehicle. The real-time operation data refers to vehicle operation data which changes in real time during the operation of the vehicle for data analysis. In some embodiments, the real-time operating data may include real-time driving parameters of the vehicle itself, real-time environmental data of the environment in which the vehicle is located, real-time road data of the road on which the vehicle is operating, and the like. For example, the real-time driving parameters of the vehicle itself include, but are not limited to, the speed, acceleration, engine power, throttle data, pose data, video and audio data in the vehicle, air conditioning data, meter data, and the like of the vehicle itself; real-time environmental data of the environment in which the vehicle is located includes, but is not limited to, the ambient temperature, humidity, etc. outside the vehicle; real-time road data of a road on which the vehicle is traveling includes, but is not limited to, a traveling speed of a surrounding vehicle, a location of the surrounding vehicle, and the like.
In the embodiment of the disclosure, before data acquisition, the precision range and the acquisition time interval of real-time operation data are set.
The real-time operation data are in a preset precision range, the upper limit of the precision range is five digits before decimal point, and the lower limit of the precision range is five digits after decimal point. For example, the accuracy range: -5, -4, -3, -2, -1, 0, 1, 2, 3, 4, 5, where 0 represents the original value of the signal, -1 represents the retention of one bit after the decimal point, 1 represents the retention of each bit, and so on for the other data. It should be noted that different real-time operation data can be preset to different accuracies within the accuracy range. For example, the precision of the real-time operation data with higher precision requirement may be from five digits before the decimal point to five digits after the decimal point, and the precision of the real-time operation data with lower precision requirement may be from three digits before the decimal point to three digits after the decimal point.
Because some data are ultra-high precision during the running of the vehicle, for example, the unit of the vehicle speed is kilometer/hour, the precision of the vehicle speed is accurate to three decimal places, and the included angle between the radar and the vehicle head line reaches 9 decimal places. However, when data analysis is performed, the vehicle operation data can be accurately analyzed without ultra-high-precision vehicle operation data, for example, the unit of the vehicle speed is kilometer per hour, the precision of the vehicle speed is accurate to single digit, and the line angle between the radar and the vehicle head line is 4 digits after decimal point selection. Obviously, if the ultra-high-precision vehicle operation data is collected, the analysis precision of the operation data cannot be improved, a large amount of resources can be occupied, the data analysis efficiency can be influenced, and the flow broadband is wasted. Therefore, the real-time operation data is set with proper acquisition precision, the resource occupancy rate can be reduced, the system pressure is reduced and the data analysis efficiency is improved while the analysis precision is not reduced.
The acquisition time interval may be set to 1 second, or may be set to other time intervals, and the acquisition time interval in this embodiment is preferably 1 second.
It should be noted that, for some vehicle operation data, the signal value is a high-frequency high-precision signal that continuously changes, and for this type of signal, if the signal value changes, the signal value is collected and reported, which is easy to generate a phenomenon that the collection and reporting are too frequent. However, when data analysis is performed, such an ultrahigh frequency signal is not needed, only a change value of effective precision is needed, and a change of millisecond level is not needed, so that the second level can meet the data analysis requirement. Therefore, a proper sampling time interval is set for the real-time operation data, repeated invalid data does not need to be collected, valid data directly used for data analysis is collected in a targeted mode, data do not need to be frequently published, the flow bandwidth and the resource occupancy rate are reduced, the analysis precision and the analysis efficiency of the data analysis process are improved, the use fluency of a user is further improved, and the use experience of the user is improved.
And S220, performing incremental acquisition on target operation data in the real-time operation data to obtain incremental data, wherein the target operation data is operation data corresponding to the type of the target data.
In embodiments of the present disclosure, the target data types include data types for real-time presentation. That is, the target operation data includes data for real-time display, and it can be said that the target operation data includes vehicle operation data for real-time display on a display interface of the client or the console. For example, the target operational data includes: the running speed, acceleration, sunroof switch state data, etc. of the vehicle.
As described above, incremental acquisition refers to change acquisition, and changes in acquisition time are uploaded every 1 second compared to the cloud. In the embodiment of the disclosure, the target operation data in the real-time operation data is acquired in an incremental manner, and the real-time operation data representing the latest state can be acquired in a targeted manner. The acquisition mode has the advantages that by comparing the data of the cloud terminal with the data of the cloud terminal every 1 second, when the network is unstable, the value of the latest state can be reported in time, and the reissued data can be reported, so that the efficiency of processing the data by the cloud terminal is higher, the user terminal displays the data in real time, and the time delay is reduced.
For example, the target operation data is a skylight switch state signal, the latest state of the signal needs to be displayed in an application program of a user mobile phone, the target operation data is subjected to incremental acquisition, and the incremental data is sent to the user mobile phone, so that the state of the skylight switch seen on the mobile phone by a user is consistent with the actual state of the skylight switch, and the user experience is improved.
In some examples of the present disclosure, S220 may specifically include: determining real-time state data corresponding to the target data type according to the target operation data and first historical operation data corresponding to the target data type; and taking the real-time state data as incremental data.
In the embodiment of the present disclosure, the first historical operation data refers to the target operation data within a certain time period before the current collection time, that is, the first historical operation data is the data of the last changed state before the current collection time of the target operation data. Optionally, the specific time period may be a time period from the vehicle start to the current collection time, and may also be the previous ten minutes, the previous half hour, and the like of the current collection time during the vehicle operation.
In the embodiment of the present disclosure, the real-time status data refers to target operation data at the current collection time, and may also be referred to as latest status data. Optionally, the real-time status data may include data different from the first historical operating data, or may include data identical to the first historical operating data.
In other examples of the present disclosure, the step "determining real-time status data corresponding to the target data type according to the target operation data and the first historical operation data corresponding to the target data type" in S220 may further specifically include: under the condition that the sampling time of the target operation data is a first type of sampling time, taking first change data in the target operation data as real-time state data, wherein the first change data is operation data which changes relative to first historical operation data; and taking the target operation data as the real-time state data under the condition that the sampling time is the second type of sampling time.
The first type of sampling time refers to the sampling time when the target running data changes, that is, the first type of sampling time is the sampling time reported by the change. Therefore, if the target operation data at the current sampling time changes relative to the first historical data, the current sampling time is used as the first-class sampling time, the target operation data corresponding to the first-class sampling time is used as the first change data, and the first change data is used as the real-time state data. Obviously, the first change data is acquired based on the first type of sampling time, and the data can be acquired when the target operation data changes, and the method belongs to a change acquisition method. The acquisition method has the advantages that only one effective change value is acquired for the target operation data with low-frequency change of the signal value or limited enumeration value, and the acquired data volume can be reduced.
The second type of sampling time refers to a sampling time with a specific time interval from the last sampling time. Namely, the second type of sampling time is the sampling time reported regularly. Therefore, the target operation data are collected based on the second type of sampling time and serve as real-time state data to report the target operation data periodically, and the method belongs to a periodic collection method. The acquisition method has the advantages that only one value is acquired per second for the signals with the high-frequency continuous change of the signal values, and the data volume uploaded by acquisition can be reduced under the condition of meeting the requirement of statistical analysis.
The target operation data in the real-time operation data are subjected to incremental acquisition in the manner, so that the data change of the target operation data can be acquired in real time; when the incremental acquisition step is executed, the regular acquisition and the change acquisition are fused, and the method can be suitable for various signal acquisition requirements so as to provide different data using ways. For example, for real-time running data with extremely low signal value change frequency, a change acquisition method is adopted, so that the reported signal quantity can be reduced; for high-precision and ultra-high-precision real-time running data with the signal value change frequency in the millisecond level, a regular acquisition method is adopted, and the acquisition amount and the report amount are greatly reduced.
In other examples of the present disclosure, after the step "take the real-time status data as the incremental data" in S220 is completed, the method further includes: and updating the first historical operating data according to the incremental data to obtain the updated first historical operating data.
Because the data acquisition process is carried out in real time, after the incremental data is acquired at the current sampling moment, the incremental data acquired at the current sampling moment is used for replacing the first historical operating data based on the timestamp of the incremental data so as to obtain the updated first historical operating data, so that the first historical operating data only retains the real-time state data of each signal, and when the incremental acquisition is carried out at the next sampling moment, the real-time state data is acquired based on the updated first historical operating data, the incremental acquisition process is stably and orderly executed, and the accuracy and the orderliness of the data acquisition are ensured.
And S230, carrying out total change acquisition on the real-time operation data to obtain total change data.
In the embodiment of the present disclosure, the full-change acquisition refers to an operation of performing acquisition on all changed real-time running data to obtain the full-change data. Obviously, the full-scale change data includes the target operation data and the other operation data other than the target operation data.
In an embodiment of the present disclosure, S230 may specifically include: and taking second change data in the real-time operation data as the full change data, wherein the second change data is operation data changed relative to second historical operation data, and the second historical operation data is historical operation data corresponding to the real-time operation data.
In the embodiment of the present disclosure, the second historical operating data refers to real-time operating data in a specific time period before the current collection time, that is, the second historical operating data is data of a last changed state before the current sampling time of the target operating data, and specifically may be historical operating data corresponding to the real-time operating data in the specific time period before the current collection time. As in the foregoing description, the specific time period may be a time period from the start of the vehicle to the current collection time, and may also be the first ten minutes, the first half hour, or the like of the current collection time during the operation of the vehicle. It can be understood that if the real-time operation data changes relative to the second historical data, it indicates that the real-time operation data changes at the current acquisition time, the changed real-time operation data is the second change data, and the second change data is used as the total change data.
By adopting the mode, the full change collection is carried out on the real-time operation data, the data change of the collected real-time operation data can be collected in real time, invalid data collection is avoided due to the preset collection precision and collection time interval, and the effects of reducing storage and calculation resources and improving the system pressure and the error probability can be realized.
In other examples of the present disclosure, the step S220, after the step of using the second change data in the real-time operation data as the full-amount change data, further includes: and updating the second historical operating data according to the full change data to obtain updated second historical operating data.
The data acquisition process is carried out in real time, and after the full change data is acquired at the current sampling moment, the full change data acquired at the current sampling moment is used for replacing the second historical operating data based on the timestamp of the full change data to obtain the updated second historical operating data, so that the second historical operating data only keeps the real-time state data of each signal, and when the full change acquisition is carried out at the next sampling moment, the full change acquisition is continuously carried out based on the updated second historical operating data to obtain new full change data, the full change acquisition process is stably and orderly carried out, and the accuracy and the orderliness of the data acquisition are ensured.
It should be noted that, S220 and S230 in fig. 2 are executed in parallel, in other embodiments of the present disclosure, S220 may be executed first and then S230 is executed, or S230 may be executed first and then S220 is executed, and after the execution sequence of S220 and S230 is changed, the specific execution logic of S220 and S230 is not changed.
And S240, transmitting the incremental data and the full change data to the target equipment.
In the embodiments of the present disclosure, the target device may include, but is not limited to, a client, a cloud, a server, and the like. Referring to the signal acquisition schematic diagram shown in fig. 1, the acquired incremental data and the acquired full-scale change data may be transmitted to the target device based on the signal transmission module, so that the target device displays the received data.
In some examples of the present disclosure, S240 may specifically include: packing the incremental data into a first data packet; packing the full-scale change data into a second data packet; and adding the first data packet and the second data packet into a transmission queue so as to transmit the first data packet and the second data packet to the target device through the transmission queue.
The first data packet and the second data packet both comprise packet header identification and packet internal information. The packet header identifier refers to identification information for identifying a data packet, and may be a packet sequence number, a binary code, or the like, and the information in the packet refers to incremental data or full change data. The transmission queue refers to a message transmission queue, and a first-in first-out queue mechanism is adopted to upload according to the generation sequence of the data packets so as to avoid the problem that the later generated packets are uploaded first.
In order to avoid interference among different types of data, incremental data is packaged into a first data packet, full-variable data is packaged into a second data packet, packet header identifications are respectively set for the first data packet and the second data packet, the first data packet and the second data packet are added into a transmission queue, and the first data packet and the second data packet are transmitted to a target device through the transmission queue.
In particular, the principle of transmission of the full and incremental data to the target device is explained with reference to the signal acquisition principle shown in fig. 1. Firstly, waking up a network of a vehicle, acquiring incremental data and full change data from a signal acquisition module through a signal transmission module, respectively packaging to obtain a first data packet and a second data packet, and setting packet header identifications for the two data packets; then, adding the first data packet and the second data packet into a transmission queue and uploading the data packet to the target equipment; and then, the signal transmission module acquires data from the signal acquisition module every second, compares the data with the data acquired in the last second to obtain new incremental data and new full change data, packages the new incremental data and the new full change data into a new first data packet and a new second data packet, puts the new first data packet and the new second data packet into a transmission queue, uploads the new first data packet and the new second data packet to the target equipment based on a first-in first-out principle, and sequentially and circularly executes the processes.
In some examples of the present disclosure, the "packaging the incremental data into the first data packet" in S240 may specifically include: under the condition that the sampling time of the real-time operation data is the first sampling time in the sampling period, packing the incremental data into the first data packet according to the sampling time and the packet serial number corresponding to the sampling time; and under the condition that the sampling time of the real-time operation data is the non-first sampling time in the sampling period, packing the incremental data into the first data packet according to the packet serial number corresponding to the sampling time.
In particular, the sampling period may be five minutes, ten minutes, or half an hour. The sampling instant may be 1 second. The packet sequence number is determined in real time according to the sampling time within the sampling period. In the embodiment of the present disclosure, the packet sequence number may include common data and special data, the common data refers to the same data in the packet sequence number at different sampling times, and the special data is determined according to a timestamp of the sampling time. A first data packet corresponding to the incremental data at the first sampling moment is determined according to the sampling moment and a packet serial number corresponding to the sampling moment; and determining a first data packet corresponding to the incremental data at the non-first sampling moment according to the packet sequence number corresponding to the sampling moment.
For example, the packet sequence number corresponding to the 1 st second sampling time is: 1+11110001, and the packet sequence number corresponding to the 2 nd second sampling time is: 11110002, the packet sequence number corresponding to the 3 rd second sampling time is: 11110003, and so on for packet sequence numbers corresponding to other sampling instants.
The first data packet generated by the method only has the time of one packet header, and signals in the first data packet do not need to be subjected to independent time marking, so that the size of the first data packet is reduced, the occupation of bandwidth is reduced, and the effects of reducing the flow and the data transmission cost are realized.
In some examples of the present disclosure, the "packaging the full-size change data into the second data packet" in S240 may specifically include: under the condition that the sampling time of the real-time operation data is the first sampling time in the sampling period, packaging the full-scale change data into a second data packet according to the sampling time and the packet serial number corresponding to the sampling time; and under the condition that the sampling time of the real-time operation data is the non-first sampling time in the sampling period, according to the packet sequence number corresponding to the sampling time, the full-scale change data is taken as a second data packet.
In the embodiment of the present disclosure, the principle of generating the second packet is the same as the principle of generating the first packet. That is to say, the second data packet corresponding to the incremental data at the first sampling time is determined according to the sampling time and the packet sequence number corresponding to the sampling time; and determining a second data packet corresponding to the incremental data at the non-first sampling moment according to the packet sequence number corresponding to the sampling moment. Obviously, the second data packet generated in the above manner also has only one packet header time, and the signal in the second data packet does not need to be time-stamped separately, so that the size of the second data packet is reduced, the occupation of bandwidth is reduced, and the effects of reducing the flow and the data transmission cost are achieved.
In the embodiment of the disclosure, the real-time operation data of the vehicle can be acquired, the target operation data used for real-time display in the real-time operation data is subjected to incremental acquisition to obtain incremental data, and the real-time operation data is subjected to full-scale change acquisition to acquire all changed vehicle operation data in real time, so that the same kind of real-time operation data can be acquired in different acquisition modes, and the method is suitable for various acquisition requirements and is used for different data use ways. Meanwhile, the vehicle operation data are acquired in a full-scale change mode, so that storage and calculation resources can be reduced, and the system pressure and the error probability are reduced.
In another embodiment of the present disclosure, to avoid data loss due to failure of reporting real-time running data caused by a network reason, after adding the first data packet and the second data packet into the transmission loss column, the data acquisition method may further include: and under the condition that the network is not unobstructed, storing the second data packet into the flash memory, and adding the data packet stored in the flash memory into the transmission queue again when the network is recovered to be normal so as to retransmit the data packet stored in the flash memory to the target equipment through the transmission queue.
Hereinafter, the data acquisition method provided by the embodiments of the present disclosure will be described in detail based on a specific example.
Fig. 3 shows a schematic flow chart of a data acquisition method provided by the embodiment of the present disclosure.
As shown in fig. 3, the data acquisition method may specifically include the following steps.
And S310, acquiring real-time running data of the vehicle.
And S320, performing increment acquisition on target operation data in the real-time operation data to obtain increment data, wherein the target operation data is operation data corresponding to the type of the target data.
And S330, carrying out full change acquisition on the real-time operation data to obtain full change data.
And S340, packaging the incremental data into a first data packet, and packaging the full-scale change data into a second data packet.
And S350, adding the first data packet and the second data packet into a transmission queue.
And S360, storing the second data packet in the flash memory under the condition that the transmission of the first data packet and the transmission of the second data packet are determined to be failed.
Since the incremental data in the first data packet is data that needs to be presented in real time, the full amount of change data in the second data packet does not need to be presented in real time, and all data needs to be retained. Therefore, when the first data packet and the second data packet are determined to be failed to be transmitted, the second data packet is stored in the flash memory so as to temporarily store the second data packet which is failed to be transmitted, and real-time operation data loss is avoided.
In the embodiment of the present disclosure, after the second data adds the first data packet and the second data packet into the transmission queue, information such as network delay time, network connection status, and the like may be obtained in real time to determine whether the transmission of the first data packet and the second data packet fails. And if the transmission fails, storing the second data packet in a flash memory so as to temporarily store the second data packet with the transmission failure.
And S370, acquiring real-time communication parameters of the communication network.
In the disclosed embodiment, the real-time communication parameters may include, but are not limited to, network delay time, network connection status, and other parameters.
And S380, sequentially adding the data packets stored in the flash memory into a transmission queue under the condition that the real-time communication parameters meet the preset transmission conditions, so as to transmit the data packets stored in the flash memory to the target equipment through the transmission queue.
In the embodiment of the present disclosure, the preset transmission condition is used to determine that the transmission network to which the vehicle is connected is restored from an abnormal state to a normal state. For example, if the network delay duration is less than the set delay threshold, or the network connection state is stable, it is determined that the real-time communication parameters meet the preset transmission conditions. Furthermore, the data packets temporarily stored in the flash memory, namely the second data packets, are sequentially added into the transmission queue according to the packet sequence numbers, so that the data packets stored in the flash memory are retransmitted to the target device through the transmission queue, the collected real-time running data are guaranteed to be reported to the target device, and the real-time running data are prevented from being lost.
In an embodiment of the present disclosure, the method for storing the second data packet in the flash memory specifically includes: under the condition that the space capacity of the free storage space of the flash memory is larger than or equal to the data quantity of the second data packet, storing the second data packet into the free storage space; and under the condition that the space capacity of the free storage space is smaller than the data quantity of the second data packet, sequentially covering at least one data packet which is firstly stored in the flash memory by using the second data packet.
Specifically, the free storage space in the flash memory is determined in real time. If the space capacity of the free storage space of the flash memory is larger than or equal to the data amount of the second data packet, the second data packet can be directly stored in the free storage space. If the space capacity of the free storage space is smaller than the data volume of the second data packet, the free storage space in the flash memory cannot store all data in the second data packet, at least one data packet which is firstly stored in the flash memory is determined according to the packet serial number of each data packet in the flash memory, and if the data volume of the first data packet which is firstly stored in the flash memory is larger than or equal to the data volume of the second data packet, the first data packet which is firstly stored in the flash memory is covered by the second data packet; if the data volume of the first data packet stored in the flash memory firstly is smaller than that of the second data packet, continuously determining the data volumes of the first data packet and the second data packet stored in the flash memory firstly according to the packet serial number of the data packet; if the data volume of the first data packet and the second data packet is larger than or equal to the data volume of the second data packet, covering the first data packet and the second data packet which are firstly stored in the flash memory with the second data packet; and if the data volume of the first data packet and the second data packet is less than that of the second data packet, continuously determining the data volume of the subsequent data packet firstly stored in the flash memory according to the packet sequence number until at least one data packet firstly stored in the flash memory is greater than or equal to the second data packet, and covering at least one data packet firstly stored in the flash memory by using the second data packet.
To sum up, in the data acquisition method provided by the embodiment of the present disclosure, after the first data packet and the second data packet are added to the transmission queue, it is determined whether the transmission of the first data packet and the second data packet fails, if the transmission fails, the second data packet is temporarily stored in the flash memory based on the space capacity of the free storage space of the flash memory, the data amount of the second data packet, and the data amount of at least one data packet first stored in the flash memory, and when the real-time communication parameter meets the preset transmission condition, the data packets stored in the flash memory are sequentially added to the transmission queue, so that the data packets stored in the flash memory are transmitted to the target device through the transmission queue. The second data packets are stored in order under the condition that the network is not smooth, when the network is recovered to be normal, the second data packets in the flash memory are continuously transmitted to the target equipment, loss of real-time running data is avoided, the target equipment can accurately analyze the real-time running data, and the error rate of the real-time data is reduced.
Fig. 4 shows a schematic structural diagram of a data acquisition device provided by an embodiment of the present disclosure.
In some embodiments of the present disclosure, the apparatus shown in fig. 4 may be applied to a processor of a vehicle, and the processor may control the audio/video system shown in fig. 1 to perform a data acquisition operation.
As shown in fig. 4, the data acquisition apparatus 400 may include: the system comprises a data acquisition module 410, a first processing module 420, a second processing module 430 and a data transmission module 440.
The data acquisition module 410 may be configured to acquire real-time operation data of the vehicle;
the first processing module 420 may be configured to perform incremental acquisition on target operation data in the real-time operation data to obtain incremental data, where the target operation data is operation data corresponding to a target data type;
the second processing module 430 may be configured to perform full-scale change acquisition on the real-time operation data to obtain full-scale change data;
a data transmission module 440, which may be configured to transmit the incremental data and the full-scale change data to a target device.
In the embodiment of the disclosure, the real-time operation data of the vehicle can be acquired, the target operation data used for real-time display in the real-time operation data is subjected to incremental acquisition to obtain incremental data, and the real-time operation data is subjected to full-scale change acquisition to acquire all changed vehicle operation data in real time, so that the same kind of real-time operation data can be acquired in different acquisition modes, and the method is suitable for various acquisition requirements and is used for different data use ways. Meanwhile, the vehicle operation data are acquired in a full-scale change mode, so that storage and calculation resources can be reduced, and the system pressure and the error probability are reduced.
In some embodiments of the present disclosure, the target data type comprises a data type for real-time presentation.
In some embodiments of the present disclosure, the first processing module 420 may include a first determining unit and a second determining unit.
The first determining unit may be configured to determine real-time status data corresponding to the target data type according to the target operation data and first historical operation data corresponding to the target data type.
The second determination unit may be configured to use the real-time status data as the incremental data.
In some embodiments of the present disclosure, the first determining unit may be further configured to, when a sampling time of the target operation data is a first type of sampling time, use first change data in the target operation data as the real-time status data, where the first change data is operation data that changes with respect to the first historical operation data;
and taking the target operation data as the real-time state data under the condition that the sampling time is the second type of sampling time.
In some embodiments of the present disclosure, the second processing module 430 may include: and a third determination unit. The third determining unit may be configured to use second change data in the real-time operation data as the full change data, where the second change data is operation data that changes with respect to second historical operation data, and the second historical operation data is historical operation data corresponding to the real-time operation data.
In some embodiments of the present disclosure, the data transmission module 440 may include: the device comprises a first packing unit, a second packing unit and a transmission subunit.
The first packing unit may be to pack the delta data into a first data packet.
The second packing unit may be configured to pack the full-size change data into a second data packet.
The transmitting subunit may be configured to add the first data packet and the second data packet to a transmission queue to transmit the first data packet and the second data packet to the target device through the transmission queue.
In some embodiments of the present disclosure, the first packetizing unit may be further configured to, when a sampling time of the real-time running data is a first sampling time in a sampling period, packetize the incremental data into the first data packet according to the sampling time and a packet sequence number corresponding to the sampling time;
and under the condition that the sampling time of the real-time running data is not the first sampling time in a sampling period, packing the incremental data into the first data packet according to the packet sequence number corresponding to the sampling time.
In some embodiments of the present disclosure, the second packing unit may be further configured to, when a sampling time of the real-time running data is a first sampling time in a sampling period, pack the full-scale change data into the second data packet according to the sampling time and a packet sequence number corresponding to the sampling time;
and under the condition that the sampling time of the real-time running data is the non-first sampling time in the sampling period, the full-scale change data is the second data packet according to the packet sequence number corresponding to the sampling time.
In some embodiments of the present disclosure, the transmission subunit may be further configured to, in case it is determined that the transmission of the first data packet and the second data packet fails, store the second data packet in a flash memory;
acquiring real-time communication parameters of a communication network;
and under the condition that the real-time communication parameters meet preset transmission conditions, sequentially adding the data packets stored in the flash memory into the transmission queue so as to transmit the data packets stored in the flash memory to the target equipment through the transmission queue.
In some embodiments of the present disclosure, the preset transmission condition is used to determine that a transmission network to which the vehicle is connected is restored from an abnormal state to a normal state.
In some embodiments of the present disclosure, the transmission subunit may be further configured to store the second data packet into a free storage space of the flash memory if a space capacity of the free storage space is greater than or equal to a data amount of the second data packet;
and under the condition that the space capacity of the free storage space is smaller than the data volume of the second data packet, sequentially covering at least one data packet which is firstly stored in the flash memory by using the second data packet.
In some embodiments of the present disclosure, the real-time operation data is in a preset precision range, an upper limit of the precision range is five bits before the decimal point, and a lower limit of the precision range is five bits after the decimal point.
It should be noted that the data acquisition apparatus 400 shown in fig. 4 may perform each step in the method embodiments shown in fig. 2 and fig. 3, and implement each process and effect in the method embodiments shown in fig. 2 and fig. 3, which are not described herein again.
Fig. 5 shows a schematic structural diagram of a data acquisition device provided by an embodiment of the present disclosure.
As shown in fig. 5, the data acquisition device may include a processor 501 and a memory 502 having stored computer program instructions.
Specifically, the processor 501 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more Integrated circuits of the embodiments of the present Application.
The processor 501 reads and executes the computer program instructions stored in the memory 502 to perform the steps of the data acquisition method provided by the embodiments of the present disclosure.
In one example, the vehicle may also include a transceiver 503 and a bus 504. As shown in fig. 5, the processor 501, the memory 502 and the transceiver 503 are connected via a bus 504 to complete communication.
It is noted that, in this document, relational terms such as "first" and "second," and the like, may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the term "comprises/comprising" is intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The foregoing are merely exemplary embodiments of the present disclosure, which enable those skilled in the art to understand or practice the present disclosure. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the disclosure. Thus, the present disclosure is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (15)
1. A method of data acquisition, comprising:
acquiring real-time running data of a vehicle;
performing increment acquisition on target operation data in the real-time operation data to obtain increment data, wherein the target operation data are operation data corresponding to the type of the target data;
carrying out full change acquisition on the real-time operation data to obtain full change data;
transmitting the incremental data and the full-scale change data to a target device.
2. The method of claim 1, wherein the target data type comprises a data type for real-time presentation.
3. The method of claim 1, wherein the incrementally acquiring the target operation data in the real-time operation data to obtain incremental data comprises:
determining real-time state data corresponding to the target data type according to the target operation data and first historical operation data corresponding to the target data type;
and taking the real-time state data as the incremental data.
4. The method of claim 3, wherein determining real-time status data corresponding to the target data type according to the target operation data and the first historical operation data corresponding to the target data type comprises:
under the condition that the sampling time of the target operation data is a first type of sampling time, taking first change data in the target operation data as the real-time state data, wherein the first change data is operation data which changes relative to the first historical operation data;
and taking the target operation data as the real-time state data under the condition that the sampling time is the second type of sampling time.
5. The method of claim 1, wherein the collecting the real-time operational data in a full-scale change to obtain full-scale change data comprises:
and taking second change data in the real-time operation data as the full change data, wherein the second change data is operation data changed relative to second historical operation data, and the second historical operation data is historical operation data corresponding to the real-time operation data.
6. The method of claim 1, wherein transmitting the incremental data and the full-scale change data to a target device comprises:
packing the incremental data into a first data packet;
packing the full-scale change data into a second data packet;
adding the first data packet and the second data packet into a transmission queue to transmit the first data packet and the second data packet to the target device through the transmission queue.
7. The method of claim 6, wherein the packaging the delta data into a first data packet comprises:
under the condition that the sampling time of the real-time running data is the first sampling time in a sampling period, packing the incremental data into the first data packet according to the sampling time and the packet serial number corresponding to the sampling time;
and under the condition that the sampling time of the real-time running data is not the first sampling time in a sampling period, packing the incremental data into the first data packet according to the packet sequence number corresponding to the sampling time.
8. The method of claim 6, wherein the packaging the full-size-change data into a second data packet comprises:
under the condition that the sampling time of the real-time running data is the first sampling time in a sampling period, packing the full-scale change data into the second data packet according to the sampling time and the packet serial number corresponding to the sampling time;
and under the condition that the sampling time of the real-time running data is the non-first sampling time in the sampling period, the full-scale change data is the second data packet according to the packet sequence number corresponding to the sampling time.
9. The method of claim 6, wherein after said enqueuing said first packet and said second packet in a transmission queue, the method further comprises:
storing the second data packet in a flash memory if it is determined that the first data packet and the second data packet failed to be transmitted;
acquiring real-time communication parameters of a communication network;
and under the condition that the real-time communication parameters meet preset transmission conditions, sequentially adding the data packets stored in the flash memory into the transmission queue so as to transmit the data packets stored in the flash memory to the target equipment through the transmission queue.
10. The method according to claim 9, wherein the preset transmission condition is used for determining that a transmission network to which the vehicle is connected is restored from an abnormal state to a normal state.
11. The method of claim 9, wherein storing the second packet in flash memory comprises:
storing the second data packet into the free storage space when the space capacity of the free storage space of the flash memory is larger than or equal to the data amount of the second data packet;
and under the condition that the space capacity of the free storage space is smaller than the data volume of the second data packet, sequentially covering at least one data packet which is firstly stored in the flash memory by using the second data packet.
12. The method of claim 1, wherein the real-time operating data is within a preset precision range, an upper limit of the precision range is five digits before decimal point, and a lower limit of the precision range is five digits after decimal point.
13. A data acquisition device, comprising:
the data acquisition module is configured to acquire real-time running data of the vehicle;
the first processing module is configured to perform incremental acquisition on target operation data in the real-time operation data to obtain incremental data, wherein the target operation data is operation data corresponding to a target data type;
the second processing module is configured to perform full-scale change acquisition on the real-time operation data to obtain full-scale change data;
a data transmission module configured to transmit the incremental data and the full-scale change data to a target device.
14. A data acquisition device, comprising:
a processor;
a memory for storing executable instructions;
wherein the processor is configured to read the executable instructions from the memory and execute the executable instructions to implement the data acquisition method of any one of claims 1-12.
15. A computer-readable storage medium, characterized in that the storage medium stores a computer program which, when executed by a processor, causes the processor to carry out a data acquisition method as claimed in any one of the preceding claims 1 to 12.
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