CN112677904A - Vehicle information management method and device - Google Patents
Vehicle information management method and device Download PDFInfo
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Abstract
The embodiment of the invention relates to a vehicle information management method, which comprises the following steps: acquiring raw information of a plurality of sensors mounted on a vehicle; the sensor raw information comprises a sensor identification ID and sensor installation position information; adding the sensor number and the sensor installation position information into a sensor information list; receiving an electric signal detected by a sensor, and processing the electric signal to obtain corresponding sensor information; the sensor information includes a sensor ID; inquiring a sensor information list according to the ID of the sensor, and determining the installation position information of the sensor; judging whether the abnormality exists according to the sensor installation position information and the sensor information; and when the abnormity exists, generating alarm information.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to a vehicle information management method and device.
Background
The statistical data of the Chinese logistics and purchasing union show that in 2018, the total logistics cost of China's society reaches 13.3 trillion yuan, which is increased by 9.8% compared with 2017, and the first three industries with higher logistics utilization rate and the occupation ratios thereof are 17.2% of cement, 13.1% of coal and 11.3% of chemical industry respectively, wherein the logistics utilization rate is equal to the ratio of the logistics cost to the sales cost, a logistics supply chain occupies an important position in the petrochemical industry, and a well-managed supply chain is favorable for improving profits, slowly releasing risks and acquiring competitive advantages. The realization of end-to-end supply chain optimization is a great source for obtaining benefits by utilizing an optimization technology, and is beneficial to realizing data-driven business optimization decision, so that cost advantage and business opportunity are obtained on the whole supply chain.
The general problems and pain points of energy enterprises are as follows: the competitiveness of enterprises is reduced, the rapid change of the market cannot be adapted, the value chain is too long, the communication, management and transaction cost is high, the interconnection and intercommunication among internal departments, systems and platforms are lacked, the working efficiency is low, the safety and environment-friendly supervision situation is strict day by day, the safety and environment-friendly pressure is increased, and the traditional management mode is lagged behind.
In order to solve the problems, in the prior art, various ways are adopted, such as tracking the transportation process of the supply chain at any time through a telephone and a WeChat group, adding a GPS (global positioning system) to track and locate the vehicle, and the like, but the following problems still exist in the transportation process of the supply chain: the communication wastes time and energy, the node information is distorted, the tracking in the long-distance transportation process seriously depends on WeChat groups and telephones, the efficiency is low, the node information is not true, economic loss is caused in a transportation blind area, the situations of delay, goods loss, goods fleeing and the like happen frequently in the on-the-way blind area, the transportation nodes are manually updated, and the daily report statistics workload is large. When a Global Positioning System (GPS) is placed in a carriage, no signal is generated, the GPS is in an overall out-of-control state due to unfixed places, fleet management is low in efficiency, assessment is not based, responsibility is paid afterwards, assessment is not based by a carrier, and multiple parties tear skins.
Therefore, the management of the vehicle information in the supply chain is important, and how to manage the vehicle information is an urgent problem to be solved.
Disclosure of Invention
The invention aims to solve the problems in the transportation process of a supply chain by aiming at the defects in the prior art.
In order to solve the above problem, a first aspect of embodiments of the present invention provides a vehicle information management method including:
acquiring raw information of a plurality of sensors mounted on a vehicle; the sensor raw information comprises a sensor identification ID and sensor installation position information;
adding the sensor number and the sensor installation position information into a sensor information list;
receiving the electric signal detected by the sensor, and processing the electric signal to obtain corresponding sensor information; the sensor information includes a sensor ID;
inquiring the sensor information list according to the ID of the sensor, and determining the installation position information of the sensor;
judging whether the sensor is abnormal or not according to the sensor installation position information and the sensor information;
and when the abnormity exists, generating alarm information.
Preferably, the sensors comprise a tire temperature and pressure sensor, a positioning sensor, a load sensor and a camera.
Preferably, when the sensor is the tire temperature and pressure sensor, the determining whether there is an abnormality specifically includes, according to the sensor installation position information, the sensor information, and preset standard information of sensors at different positions:
acquiring tire state parameters generated by detecting each tire by a tire temperature and pressure sensor fixed in each tire of a vehicle; the tire condition parameters include a tire ID and tire condition data;
determining the tire mounting position information based on the tire ID;
determining usage parameter thresholds for the tires based on the tire IDs, and determining instant parameters for each tire based on the tire status data for each of the tires and tire status data for other tires in the vehicle that are networked with the tires; the usage parameter threshold and the instant parameter each have a corresponding tire ID;
determining whether the instant parameter is within the usage parameter threshold based on each tire ID and a preset time parameter; when the time exceeds the range of the use parameter threshold, determining whether the time length of the instant parameter exceeding the use parameter threshold is greater than the preset time parameter;
when the instant parameter exceeds the use parameter threshold value and the time length of the instant parameter exceeding the use parameter threshold value is longer than the preset time parameter, generating first marking information and first alarm information; or when the instant parameter exceeds the use parameter threshold and the time length of the instant parameter exceeding the use parameter threshold is not more than the preset time parameter, generating second marking information and second alarm information;
and sending the first alarm information or the second alarm information to a server.
Preferably, when the sensor is a camera, the camera includes a first camera and a second camera, and the determining whether there is an abnormality specifically includes, according to the sensor installation position information, the sensor information, and preset standard information of sensors at different positions:
acquiring first video information in a driver cab, which is sent by a first camera on a vehicle;
acquiring second video information of the transport box/tank body sent by a second camera on the vehicle;
processing the first video information to determine emotion information of a driver; processing the second video information to determine whether the transport box body/tank body is in an unloading/loading state;
determining whether vehicle abnormal information exists according to the emotion information of the driver and whether the transportation box body/tank body is in a loading/unloading state;
when the abnormal information of the vehicle exists, recording the current time information and the current position information, generating third marking information and third alarm information which comprise the current time information and the current position information, and sending the third marking information and the third alarm information to a server.
Preferably, the processing the first video information and the determining of the emotion information of the driver specifically include:
carrying out face feature recognition on the first video information, and determining whether the driver is a legal registered user;
when the driver is a legal registered user, acquiring facial micro-expression information within a preset time length; the facial micro-expression information comprises the opening and closing times of eyes and the distance between the upper lip and the lower lip of the mouth;
counting the times of opening and closing of eyes in a preset time length, and counting the time length when the distance between an upper lip and a lower lip is greater than a preset threshold value in the preset time length;
and when the times are larger than a preset time threshold value and/or the duration is larger than a preset second duration threshold value, determining that the emotion information of the driver is abnormal.
Preferably, when the sensor is a positioning sensor, the positioning sensor includes a first positioning sensor and a second positioning sensor, and the determining whether there is an abnormality specifically includes, according to the sensor installation position information, the sensor information, and preset standard information of sensors at different positions:
acquiring first position information sent by a first positioning sensor and second positioning information sent by a second positioning sensor;
aligning the first position information and the second position information according to the acquisition time of the first position information and the acquisition time of the second position information;
judging whether the difference value of the aligned first position information and the aligned second position information is within a preset difference value range or not;
and when the difference value is within a preset difference value range, determining that the vehicle is in a moving state or a stopping state according to the first position information and the first position information at the previous moment and/or according to the second position information and the second position information at the previous moment.
Preferably, the method further comprises:
when the mobile terminal is in a stop state, current time information is obtained;
judging whether the current time information is matched with a preset rest period;
and when the current time information is not matched with a preset rest time period, processing the second video information, and determining whether the transport box body/tank body is in an unloading/loading state.
A second aspect of an embodiment of the present invention provides a vehicle information management apparatus including:
a processing module for acquiring raw information of a plurality of sensors mounted on a vehicle; the sensor raw information comprises a sensor identification ID and sensor installation position information; and the number of the first and second groups,
adding the sensor number and the sensor installation position information into a sensor information list;
receiving the electric signal detected by the sensor, and processing the electric signal to obtain corresponding sensor information; the sensor information includes a sensor ID;
inquiring the sensor information list according to the ID of the sensor, and determining the installation position information of the sensor;
judging whether the sensor is abnormal or not according to the sensor installation position information and the sensor information;
and when the abnormity exists, generating an alarm message.
A third aspect of an embodiment of the present invention provides an electronic device, including: a memory, a processor, and a transceiver;
the processor is configured to be coupled to the memory, read and execute instructions in the memory, so as to implement the method steps of the first aspect;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
A fourth aspect of embodiments of the present invention provides a computer program product comprising computer program code which, when executed by a computer, causes the computer to perform the method of the first aspect.
A fifth aspect of embodiments of the present invention provides a computer-readable storage medium storing computer instructions that, when executed by a computer, cause the computer to perform the method of the first aspect.
Embodiments of the present invention provide a vehicle information management method, a vehicle information management apparatus, an electronic device, a computer program product, and a computer-readable storage medium, which record position information of a vehicle, so as to obtain an evaluation value of the vehicle in a supply chain during transportation.
According to the vehicle information management method provided by the embodiment of the invention, the vehicle condition can be acquired through the information of a plurality of sensors on the vehicle, and the abnormal state of the vehicle can be found through processing, so that the emergency speed of a supply chain is increased, and the problem can be quickly found.
Drawings
Fig. 1 is a schematic diagram of a vehicle information management method according to an embodiment of the present invention;
fig. 2 is a block diagram of a vehicle information management apparatus according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail with reference to the accompanying drawings, and it is apparent that the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The online technology is the basis of the digital transformation in the chemical industry, the big data analysis is the most important technology in the digital transformation process in the petrochemical industry, and the main scenes of the digital technology application are safety production, supply chain optimization and energy consumption optimization. The vehicle information management method provided by the invention can determine whether the vehicle is abnormal or not by recording various sensor information on the vehicle and processing the sensor information.
Fig. 1 is a schematic diagram of a vehicle information management method according to an embodiment of the present invention. The method is applied to a transport vehicle in a supply chain, an execution main body of the method can be a processor with a calculation function, the processor can be a processor connected with a plurality of sensors on the vehicle, and can also be a processor embedded in a cloud server or a terminal, and when the processor is the processor embedded in the cloud server or the terminal, the sensors on the vehicle need to communicate with the cloud server or the terminal through a communication module on the vehicle. As shown in fig. 1, the method mainly comprises the following steps:
in the energy supply chain, a transport vehicle is involved, and for better management of the transport vehicle, information of the vehicle can be acquired by arranging sensors on the transport vehicle, wherein the sensors include but are not limited to a tire temperature and pressure sensor, a positioning sensor, a load sensor and a camera.
A vehicle coordinate system may be established that may have the center of gravity of the vehicle as the origin, the direction of the rear axle as the y-axis, and the direction perpendicular to the y-axis through the origin as the x-direction. The position of the sensor on the vehicle in the vehicle coordinate system, i.e., sensor mounting position information and the identification of the sensor, such as a number, a name, etc., can be acquired.
the raw information of the sensor may be recorded through a sensor information list. The sensor information list can be stored in a database so as to collect the original information, and when the original information of a new sensor is added, the list can be directly operated, so that the addition of the original information is realized. The list can also be directly manipulated when a sensor is deleted or replaced.
specifically, the electrical signal detected by the sensor may be processed into sensor information after certain processing, for example, the electrical signal of the positioning sensor is processed into latitude and longitude data, the electrical signal of the load sensor is processed into a load capacity, and the electrical signal of the camera is processed into video information.
the number of each type of sensor on the vehicle is uncertain, for example, the number of cameras may be one or more, so after the sensor ID is acquired, the installation position information of the sensor can be determined by querying.
And 150, judging whether the abnormality exists or not according to the sensor installation position information and the sensor information.
Specifically, the presence or absence of an abnormality may be determined by different methods for various sensors.
In one example, when the sensor is a tire temperature and tire pressure sensor, a tire state parameter generated by detecting a tire by the tire temperature and tire pressure sensor fixed in each tire of the vehicle is firstly acquired; the tire condition parameters include a tire ID and tire condition data; secondly, determining tire installation position information according to the tire ID; thirdly, determining the use parameter threshold value of the tire according to the tire ID, and determining the instant parameter of each tire according to the tire state data of each tire in each tire and the tire state data of other tires in the vehicle, which are networked with the tire; the usage parameter threshold and the instant parameter each have a corresponding tire ID; next, determining whether the instant parameters are within the range of the usage parameter threshold based on each tire ID and a preset time parameter; when the time exceeds the range of the use parameter threshold, determining whether the time length of the instant parameter exceeding the use parameter threshold is greater than a preset time parameter; then, when the instant parameter exceeds the use parameter threshold value and the time length of the instant parameter exceeding the use parameter threshold value is longer than a preset time parameter, generating first marking information and first alarm information; or when the instant parameter exceeds the use parameter threshold and the time length of the instant parameter exceeding the use parameter threshold is not more than the preset time parameter, generating second marking information and second alarm information; and finally, sending the first alarm information or the second alarm information to a server.
The tire temperature and pressure sensor is provided with a tire temperature and pressure sensor ID, the tire temperature and pressure sensor detects the temperature and the tire pressure of the tire to obtain tire state information, the ID information of the tire temperature and pressure sensor is added into the tire state information, and tire state parameters are generated and sent.
When the vehicle is a large truck with a long body, the rear tire temperature and pressure sensor is far away from the processor in the cab, and the data transmission distance is far away, so that the situation that the processor cannot receive the data sent by the tire temperature and pressure sensor occurs. In this case, a repeater may be installed at the middle or a proper position of the vehicle to extend the data transmission distance. For example, the tire temperature and tire pressure sensor sends the tire state parameters to the repeater through the 433.92MHz communication protocol, and the repeater forwards the tire state parameters to the server through the same communication protocol, so that the smoothness of a data transmission path of the tire temperature and tire pressure sensor is ensured.
The tire condition parameters include a tire temperature and pressure sensor ID. In the actual detection process of the tire, the corresponding relation between the tire and the tire temperature and pressure sensor in the tire is not changed, the tire position information pointed by the ID of the tire temperature and pressure sensor is the tire installation position information pointed by the corresponding tire, and the installation position information of the tire can be determined according to the ID of the tire temperature and pressure sensor. Thus, based on the tire mounting position information, the tire ID, the vehicle ID, and the tire condition parameter can be matched to generate position correspondence information in which the tire identification data corresponds to the tire condition parameter.
The corresponding relationship between the tire temperature and pressure sensor and the tire is not fixed, so the processor can only determine the tire temperature and pressure sensor corresponding to the tire state parameter from the tire state parameter, but cannot determine the tire corresponding to the tire state parameter, and therefore, the processor is helped to determine which tire the tire state parameter comes from by adding the corresponding tire ID in the tire state parameter. In addition, in most cases, the tire is located at different positions in the vehicle, and the temperature and pressure that the tire can withstand, and the speed at which the temperature and pressure change, are different, so that the tire is necessarily located in consideration of the tire condition. Therefore, the corresponding tire ID is added into the tire state parameter according to the position corresponding information, the tire identity information and the tire state information are combined, the obtained tire state data is higher in accuracy, and the actual use condition of the tire can be reflected better.
The tire use parameter threshold value can be specifically a tire temperature of the tire and a safe use range value of the tire pressure. The usage parameter threshold may be dynamically adjusted within a range for different vehicles, different models of tires, different age wear levels.
And determining the use parameter threshold value of each tire according to the tire ID, the vehicle ID and the tire installation position information, or directly acquiring the preset use parameter threshold value of each tire from the server. The tire ID is a unique identification of the tire, and includes information such as the model, manufacturer, and date of use of the tire. The tire information is combined with the vehicle ID and the tire installation position information to obtain the safe use range value of the tire temperature and the tire pressure of the tire, namely the use parameter threshold value of the tire through calculation. The obtained usage parameter threshold values for the respective tires each have tire ID information corresponding to the respective tires.
At the same time, the instant parameters of each tire are determined based on the tire condition data. The instant parameters for each tire have tire ID information corresponding to each tire. The instant parameters represent the current state of use of the tire, and the tire condition data does not completely represent the current state of the tire because the state of the tire is affected by the state of other tires adjacent to or in the same vehicle when the tire is in use. Therefore, all tires in the same vehicle can be judged and processed in a networking mode, and other tire state factors in the same vehicle are considered when the instant parameters of one tire are determined, so that more accurate instant parameters of each tire are obtained.
Normally, the cause of abnormality in the tire condition data of the tire a is the tire a itself. When the tire a is deflated, the tire pressure of the tire a is reduced, the tire state data of the tire a shows that the tire a has a problem, and the tire a tire state data represents that the tire a has a problem, and the problem is originated from the tire a itself. However, the tire a may not have the tire condition data of the tire a due to the abnormality. For example, if the tire a is adjacent to the tire B, when the tire B leaks, the tire pressure of the tire a will correspondingly increase, and the tire a tire status data will indicate that the tire pressure of the tire a is problematic, but the change of the tire a status is not caused by the tire a itself.
In order to determine the abnormal reason of the tire A, the tire A is networked with all tires in a vehicle, and the instant parameters of the tire A are calculated by referring to the tire state data of other tires. That is, in the above case, the instant parameters of the tire a are referred to the tire state data of the tire B, and it can be determined that the tire pressure problem of the tire a is caused by the tire B by the instant parameters of the tire a calculated from the tire state data of the tire B and other tires in the vehicle. The method has the advantages that the result obtained by detecting the state of the tire is more accurate, and meanwhile, the tire can be correspondingly processed more quickly.
When the instant parameters of the tire are not within the range of the usage parameter threshold values, the tire temperature and/or tire pressure state of the tire is abnormal. From the viewpoint of the tire pressure state of the tire, the tire temperature and/or tire pressure state abnormality state of the tire may be classified into two types: one is a slow air leakage state of the tire, and the tire temperature and the tire pressure of the tire can continuously change in a certain trend in the state; the other is a state that the tire is quickly deflated and automatically repaired, and the tire temperature and the tire pressure of the tire in the state can be instantly abnormal and then return to normal. Generally, the user needs to distinguish between the two abnormal states and perform different treatments on the tire according to the different abnormal states.
In another example, when the sensor is a camera, the camera includes a first camera and a second camera, and step 150 specifically includes:
firstly, acquiring first video information in a driver cab, which is sent by a first camera on a vehicle;
secondly, second video information of the transport box/tank body sent by a second camera on the vehicle is obtained;
thirdly, processing the first video information to determine emotion information of the driver; processing the second video information to determine whether the transport box/tank is in an unloading/loading state;
thirdly, determining whether vehicle abnormal information exists according to emotion information of a driver and whether the transport box body/tank body is in a discharging/loading state;
and finally, when the abnormal information of the vehicle exists, recording the current time information and the current position information, generating third marking information and third alarm information which comprise the current time information and the current position information, and sending the third marking information and the third alarm information to the server.
Wherein, processing the first video information and determining the emotion information of the driver specifically comprises:
firstly, carrying out face feature recognition on first video information to determine whether a driver is a legal registered user; secondly, when the driver is a legal registered user, acquiring facial micro-expression information within a preset time length; the facial micro-expression information comprises the opening and closing times of eyes and the distance between the upper lip and the lower lip of the mouth; thirdly, counting the opening and closing times of the eyes within a preset time length, and counting the time length within the preset time length when the distance between the upper lip and the lower lip is greater than a preset threshold value; and finally, when the times are greater than a preset time threshold value and/or the duration is greater than a preset second duration threshold value, determining that the emotion information of the driver is abnormal.
The legal registered user can be the registered user stored in advance, facial features of the drivers are stored in the human database, and whether the drivers are the legal registered users or not is judged through facial recognition.
The facial micro expression information of the driver can be acquired through a facial feature extraction algorithm which is closed first, then the facial micro expression information can be subjected to statistical processing, so that whether the driver is fatigue driving is judged according to the opening and closing times of the eyes and the distance between the upper lip and the lower lip, for example, the preset time duration is 30 seconds, the eyes are opened and closed within 30 seconds and counted once, when the counted number exceeds a time threshold value, for example, 5 times, the emotional information is determined to be abnormal, and/or when the distance between the upper lip and the lower lip is greater than 2 centimeters and the duration is greater than a second time threshold value, for example, 5 seconds, the situation of yawning can be determined, namely the emotional information is abnormal, and the driver can be determined to be in emotional abnormality.
Specifically, whether the transport box is in the unloading or loading state can be determined through the second video information, for example, if a door of the box is opened and there is cargo entering and exiting, the transport box can be determined to be in the unloading/loading state, and if there is a conduit at an oil outlet and an oil inlet of the tank, the tank can be determined to be in the unloading/loading state.
The specific course of the mark may be a preset course label after analysis processing is performed according to the video information, and the course label includes various courses.
For each kind of abnormal information, a corresponding abnormal code can be generated, for example, when the emotional information of the driver is detected to be abnormal, the abnormal code is 1, and each kind of abnormal has a corresponding event label, the corresponding event label is determined through the abnormal code, and the event label is added to the marked information, so that the marking of the abnormal information is realized.
In the vehicle running state, whether the driver has abnormal emotion information or whether the box/tank body is in the unloading/loading state is considered to be vehicle abnormal information, at this time, the vehicle abnormal information can be marked, the mark can be used for marking time, place and specific type of abnormality, and the marked information can be used for examining the driver and recording the cargo abnormality in the vehicle running state. Meanwhile, third alarm information can be generated to be sent to the server, so that alarm is achieved, and management personnel can conveniently and rapidly deal with the alarm.
Whether the transport box is in the unloading or loading state can be determined through the second video information, for example, whether the door of the box is opened and the cargo enters or exits, whether the transport box is in the unloading/loading state can be determined, and when a conduit exists between the oil outlet and the oil inlet of the tank, whether the tank is in the unloading/loading state can be determined.
The specific course of the mark may be a preset course label after analysis processing is performed according to the video information, and the course label includes various courses.
For each kind of abnormal information, a corresponding abnormal code can be generated, for example, when the emotional information of the driver is detected to be abnormal, the abnormal code is 1, and each kind of abnormal has a corresponding event label, the corresponding event label is determined through the abnormal code, and the event label is added to the marked information, so that the marking of the abnormal information is realized.
In yet another example, when the sensor is a positioning sensor, the positioning sensor includes a first positioning sensor and a second positioning sensor, and step 150 includes:
firstly, acquiring first position information sent by a first positioning sensor and second positioning information sent by a second positioning sensor; secondly, aligning the first position information and the second position information according to the acquisition time of the first position information and the acquisition time of the second position information; thirdly, judging whether the difference value of the aligned first position information and the aligned second position information is within a preset difference value range or not; and finally, when the difference value is within a preset difference value range, determining that the vehicle is in a moving state or a stopping state according to the first position information and the first position information at the previous moment and/or according to the second position information and the second position information at the previous moment.
For example, the current state information of the vehicle may be determined by:
firstly, aligning the first position information and the second position information according to the acquisition time of the first position information and the acquisition time of the second position information; secondly, judging whether the difference value of the aligned first position information and the aligned second position information is within a preset difference value range; thirdly, when the difference value is within a preset difference value range, determining whether the vehicle moves according to the first position information and the first position information at the previous moment, and/or according to the second position information and the second position information at the previous moment; finally, when the vehicle moves, the current state information of the vehicle is determined to be the first state.
And 160, generating alarm information when the abnormality exists.
Specifically, for various abnormalities, alarm information may be generated so as to quickly know the abnormality.
The vehicle information management method can acquire the vehicle condition through the information of a plurality of sensors on the vehicle, and finds the abnormal state of the vehicle through processing, so that the emergency speed of a supply chain is improved, and the problem can be found quickly.
Fig. 2 is a block diagram of a vehicle information management device according to a second embodiment of the present invention, where the device may be the server or the terminal described in the foregoing embodiments, or may be a device that enables the server or the terminal to implement the method according to the second embodiment of the present application, and for example, the device may be a processor in the server or the terminal. As shown in fig. 2, the apparatus includes:
a processing module 201 that acquires raw information of a plurality of sensors mounted on a vehicle; the sensor raw information comprises a sensor identification ID and sensor installation position information;
adding the sensor number and the sensor installation position information into a sensor information list;
receiving an electric signal detected by a sensor, and processing the electric signal to obtain corresponding sensor information; the sensor information includes a sensor ID;
inquiring a sensor information list according to the ID of the sensor, and determining the installation position information of the sensor;
judging whether the abnormality exists according to the sensor installation position information and the sensor information;
and when the abnormity exists, generating alarm information.
The sensor comprises a tire temperature and pressure sensor, a positioning sensor, a load sensor and a camera.
In another specific implementation manner provided in this embodiment, when the sensor is a tire temperature and pressure sensor, the processing module 201 is specifically configured to:
acquiring tire state parameters generated by detecting tires by tire temperature and tire pressure sensors fixed in each tire of a vehicle; the tire condition parameters include a tire ID and tire condition data;
determining tire mounting position information based on the tire ID;
determining a usage parameter threshold for the tires based on the tire IDs, and determining an instantaneous parameter for each tire based on the tire status data for each tire and the tire status data for other tires in the vehicle that are networked with the tires; the usage parameter threshold and the instant parameter each have a corresponding tire ID;
determining whether the instant parameter is within a range of a usage parameter threshold based on each tire ID and a preset time parameter; when the time exceeds the range of the use parameter threshold, determining whether the time length of the instant parameter exceeding the use parameter threshold is greater than a preset time parameter;
when the instant parameter exceeds the use parameter threshold value and the time length of the instant parameter exceeding the use parameter threshold value is longer than a preset time parameter, generating first marking information and first alarm information; or when the instant parameter exceeds the use parameter threshold and the time length of the instant parameter exceeding the use parameter threshold is not more than the preset time parameter, generating second marking information and second alarm information;
and sending the first alarm information or the second alarm information to a server.
In another specific implementation manner provided in this embodiment, when the sensor is a camera, the camera includes a first camera and a second camera, and the processing module 201 is specifically configured to:
acquiring first video information in a driver cab, which is sent by a first camera on a vehicle;
acquiring second video information of the transport box/tank body sent by a second camera on the vehicle;
processing the first video information to determine emotion information of the driver; processing the second video information to determine whether the transport box/tank is in an unloading/loading state;
determining whether vehicle abnormal information exists according to emotion information of a driver and whether the transportation box body/tank body is in a discharging/loading state;
when the abnormal information of the vehicle exists, recording the current time information and the current position information, generating third marking information and third alarm information which comprise the current time information and the current position information, and sending the third marking information and the third alarm information to the server.
In another specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
carrying out face feature recognition on the first video information, and determining whether the driver is a legal registered user;
when the driver is a legal registered user, acquiring facial micro-expression information within a preset time length; the facial micro-expression information comprises the opening and closing times of eyes and the distance between the upper lip and the lower lip of the mouth;
counting the times of opening and closing of eyes in a preset time length, and counting the time length when the distance between an upper lip and a lower lip is greater than a preset threshold value in the preset time length;
and when the times are greater than a preset time threshold value and/or the duration is greater than a preset second duration threshold value, determining that the emotion information of the driver is abnormal.
In another specific implementation manner provided in this embodiment, the processing module 201 is specifically configured to:
when the sensor is the positioning sensor, the positioning sensor includes first positioning sensor and second positioning sensor, and according to sensor installation position information, sensor information and the standard information of the sensor of different predetermined positions, whether the judgement has unusual specifically to include:
acquiring first position information sent by a first positioning sensor and second positioning information sent by a second positioning sensor;
aligning the first position information and the second position information according to the acquisition time of the first position information and the acquisition time of the second position information;
judging whether the difference value of the aligned first position information and the aligned second position information is within a preset difference value range or not;
and when the difference value is within a preset difference value range, determining that the vehicle is in a moving state or a stopping state according to the first position information and the first position information at the previous moment and/or according to the second position information and the second position information at the previous moment.
The vehicle information management device provided by the embodiment of the invention can execute the method steps in the method embodiment, and the implementation principle and the technical effect are similar, so that the detailed description is omitted.
It should be noted that the division of the modules of the above apparatus is only a logical division, and the actual implementation may be wholly or partially integrated into one physical entity, or may be physically separated. And these modules can be realized in the form of software called by processing element; or may be implemented entirely in hardware; and part of the modules can be realized in the form of calling software by the processing element, and part of the modules can be realized in the form of hardware. For example, the determining module may be a processing element separately set up, or may be implemented by being integrated in a chip of the apparatus, or may be stored in a memory of the apparatus in the form of program code, and the function of the determining module is called and executed by a processing element of the apparatus. Other modules are implemented similarly. In addition, all or part of the modules can be integrated together or can be independently realized. The processing element described herein may be an integrated circuit having signal processing capabilities. In implementation, each step of the above method or each module above may be implemented by an integrated logic circuit of hardware in a processor element or an instruction in the form of software.
For example, the above modules may be one or more integrated circuits configured to implement the above methods, such as: one or more Application Specific Integrated Circuits (ASICs), or one or more microprocessors (DSPs), or one or more Field Programmable Gate Arrays (FPGAs), etc. For another example, when some of the above modules are implemented in the form of a Processing element scheduler code, the Processing element may be a general-purpose processor, such as a Central Processing Unit (CPU) or other processor that can invoke the program code. As another example, these modules may be integrated together and implemented in the form of a System-on-a-chip (SOC).
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored on a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website, computer, server, or data center to another website, computer, server, or data center via wire (e.g., coaxial cable, fiber optics, Digital Subscriber Line (DSL)), or wireless (e.g., infrared, wireless, bluetooth, microwave, etc.). DVD), or semiconductor media (e.g., Solid State Disk (SSD)), etc.
Fig. 3 is a schematic structural diagram of an electronic device according to a third embodiment of the present invention. The electronic device may be the aforementioned server or terminal. As shown in fig. 3, the electronic device 300 may include: a processor 31 (e.g., CPU), a memory 32, a transceiver 33; the transceiver 33 is coupled to the processor 31, and the processor 31 controls the transceiving operation of the transceiver 33. Various instructions may be stored in memory 32 for performing various processing functions and implementing method steps performed by the electronic device of embodiments of the present invention. Preferably, the electronic device according to an embodiment of the present invention may further include: a power supply 34, a system bus 35, and a communication port 36. The system bus 35 is used to implement communication connections between the elements. The communication port 36 is used for connection communication between the electronic device and other peripherals.
The system bus mentioned in fig. 3 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The system bus may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus. The communication interface is used for realizing communication between the database access device and other equipment (such as a client, a read-write library and a read-only library). The Memory may include a Random Access Memory (RAM) and may also include a Non-Volatile Memory (Non-Volatile Memory), such as at least one disk Memory.
The Processor may be a general-purpose Processor, including a central processing unit CPU, a Network Processor (NP), and the like; but also a digital signal processor DSP, an application specific integrated circuit ASIC, a field programmable gate array FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components.
It should be noted that the embodiment of the present invention also provides a computer-readable storage medium, which stores instructions that, when executed on a computer, cause the computer to execute the method and the processing procedure provided in the above-mentioned embodiment.
The embodiment of the invention also provides a chip for running the instructions, and the chip is used for executing the method and the processing process provided by the embodiment.
Embodiments of the present invention also provide a program product, which includes a computer program stored in a storage medium, from which the computer program can be read by at least one processor, and the at least one processor executes the methods and processes provided in the embodiments.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (10)
1. A vehicle information management method characterized by comprising:
acquiring raw information of a plurality of sensors mounted on a vehicle; the sensor raw information comprises a sensor identification ID and sensor installation position information;
adding the sensor number and the sensor installation position information into a sensor information list;
receiving the electric signal detected by the sensor, and processing the electric signal to obtain corresponding sensor information; the sensor information includes a sensor ID;
inquiring the sensor information list according to the ID of the sensor, and determining the installation position information of the sensor;
judging whether the sensor is abnormal or not according to the sensor installation position information and the sensor information;
and when the abnormity exists, generating alarm information.
2. The method of claim 1, wherein the sensors comprise a tire temperature and pressure sensor, a positioning sensor, a load sensor, and a camera.
3. The method according to claim 2, wherein when the sensor is the tire temperature and pressure sensor, the determining whether there is an abnormality according to the sensor installation position information, the sensor information, and preset standard information of sensors at different positions specifically comprises:
acquiring tire state parameters generated by detecting each tire by a tire temperature and pressure sensor fixed in each tire of a vehicle; the tire condition parameters include a tire ID and tire condition data;
determining the tire mounting position information based on the tire ID;
determining usage parameter thresholds for the tires based on the tire IDs, and determining instant parameters for each tire based on the tire status data for each of the tires and tire status data for other tires in the vehicle that are networked with the tires; the usage parameter threshold and the instant parameter each have a corresponding tire ID;
determining whether the instant parameter is within the usage parameter threshold based on each tire ID and a preset time parameter; when the time exceeds the range of the use parameter threshold, determining whether the time length of the instant parameter exceeding the use parameter threshold is greater than the preset time parameter;
when the instant parameter exceeds the use parameter threshold value and the time length of the instant parameter exceeding the use parameter threshold value is longer than the preset time parameter, generating first marking information and first alarm information; or when the instant parameter exceeds the use parameter threshold and the time length of the instant parameter exceeding the use parameter threshold is not more than the preset time parameter, generating second marking information and second alarm information;
and sending the first alarm information or the second alarm information to a server.
4. The method according to claim 1, wherein when the sensor is a camera, the camera includes a first camera and a second camera, and the determining whether there is an abnormality according to the sensor installation position information, the sensor information, and preset standard information of sensors at different positions specifically includes:
acquiring first video information in a driver cab, which is sent by a first camera on a vehicle;
acquiring second video information of the transport box/tank body sent by a second camera on the vehicle;
processing the first video information to determine emotion information of a driver; processing the second video information to determine whether the transport box body/tank body is in an unloading/loading state;
determining whether vehicle abnormal information exists according to the emotion information of the driver and whether the transportation box body/tank body is in a loading/unloading state;
when the abnormal information of the vehicle exists, recording the current time information and the current position information, generating third marking information and third alarm information which comprise the current time information and the current position information, and sending the third marking information and the third alarm information to a server.
5. The method according to claim 4, wherein said processing the first video information to determine driver mood information comprises:
carrying out face feature recognition on the first video information, and determining whether the driver is a legal registered user;
when the driver is a legal registered user, acquiring facial micro-expression information within a preset time length; the facial micro-expression information comprises the opening and closing times of eyes and the distance between the upper lip and the lower lip of the mouth;
counting the times of opening and closing of eyes in a preset time length, and counting the time length when the distance between an upper lip and a lower lip is greater than a preset threshold value in the preset time length;
and when the times are larger than a preset time threshold value and/or the duration is larger than a preset second duration threshold value, determining that the emotion information of the driver is abnormal.
6. The method according to claim 1, wherein when the sensor is a positioning sensor, the positioning sensor includes a first positioning sensor and a second positioning sensor, and the determining whether there is an abnormality according to the sensor installation position information, the sensor information, and standard information of sensors at different preset positions specifically includes:
acquiring first position information sent by a first positioning sensor and second positioning information sent by a second positioning sensor;
aligning the first position information and the second position information according to the acquisition time of the first position information and the acquisition time of the second position information;
judging whether the difference value of the aligned first position information and the aligned second position information is within a preset difference value range or not;
and when the difference value is within a preset difference value range, determining that the vehicle is in a moving state or a stopping state according to the first position information and the first position information at the previous moment and/or according to the second position information and the second position information at the previous moment.
7. The method of claim 6, further comprising:
when the mobile terminal is in a stop state, current time information is obtained;
judging whether the current time information is matched with a preset rest period;
and when the current time information is not matched with a preset rest time period, processing the second video information, and determining whether the transport box body/tank body is in an unloading/loading state.
8. A vehicle information management device characterized by comprising:
a processing module for acquiring raw information of a plurality of sensors mounted on a vehicle; the sensor raw information comprises a sensor identification ID and sensor installation position information; and the number of the first and second groups,
adding the sensor number and the sensor installation position information into a sensor information list;
receiving the electric signal detected by the sensor, and processing the electric signal to obtain corresponding sensor information; the sensor information includes a sensor ID;
inquiring the sensor information list according to the ID of the sensor, and determining the installation position information of the sensor;
judging whether the sensor is abnormal or not according to the sensor installation position information and the sensor information;
and when the abnormity exists, generating alarm information.
9. An electronic device, comprising: a memory, a processor, and a transceiver;
the processor is used for being coupled with the memory, reading and executing the instructions in the memory to realize the method steps of any one of claims 1 to 7;
the transceiver is coupled to the processor, and the processor controls the transceiver to transmit and receive messages.
10. A computer-readable storage medium having stored thereon computer instructions which, when executed by a computer, cause the computer to perform the method of any of claims 1-7.
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| CN202011633622.XA CN112677904A (en) | 2020-12-31 | 2020-12-31 | Vehicle information management method and device |
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| CN202011633622.XA CN112677904A (en) | 2020-12-31 | 2020-12-31 | Vehicle information management method and device |
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