CN112937480A - Special transport vehicle safety monitoring system and method - Google Patents
Special transport vehicle safety monitoring system and method Download PDFInfo
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Abstract
The invention discloses a special transport vehicle safety monitoring system and method, and belongs to the technical field of vehicle networking. The sensor acquires the current storage bin state information, the current vehicle state information and the current driver state information of the target transport vehicle, the vehicle-mounted terminal preprocesses the received current storage bin state information, the received current vehicle state information and the received current driver state information to acquire the target storage bin state information, the target vehicle state information and the target driver state information, and finally the server carries out safety detection on the target transport vehicle according to the received target storage bin state information, the received target vehicle state information and the received target driver state information and combines the storage bin state, the vehicle state and the driver state to carry out safety detection, so that the safety detection of the special transport vehicle is more comprehensive and accurate.
Description
Technical Field
The invention relates to the technical field of vehicle networking, in particular to a special transport vehicle safety monitoring system and method.
Background
Due to the danger of the dangerous goods, if a traffic accident or a leakage accident occurs during transportation, the dangerous goods not only can cause car damage and human death, but also can cause serious disasters such as burning, explosion, corrosion, poison and the like. At present, various monitoring devices or systems for road transportation of dangerous goods in China mostly only monitor one or more states of a transport vehicle, such as a running track, a running speed or a vehicle posture, and the like, and the detection mode has limitations and is not comprehensive enough, so that the accuracy of safety monitoring of the dangerous goods transport vehicle is greatly reduced.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a special transport vehicle safety monitoring system and a special transport vehicle safety monitoring method, and aims to solve the technical problem that safety monitoring of dangerous goods transport vehicles in the prior art is not comprehensive and accurate enough.
In order to achieve the above object, the present invention provides a special transportation vehicle safety monitoring system, which comprises: the system comprises a sensor, a vehicle-mounted terminal and a server which are connected in sequence;
the sensor is used for acquiring the current storage bin state information, the current vehicle state information and the current driver state information of the target transport vehicle, and sending the current storage bin state information, the current vehicle state information and the current driver state information to the vehicle-mounted terminal;
the vehicle-mounted terminal is used for receiving the current storage bin state information, the current vehicle state information and the current driver state information sent by the sensor, preprocessing the current storage bin state information, the current vehicle state information and the current driver state information to obtain target storage bin state information, target vehicle state information and target driver state information, and uploading the target storage bin state information, the target vehicle state information and the target driver state information to the server;
the server is used for receiving the target storage bin state information, the target vehicle state information and the target driver state information sent by the vehicle-mounted terminal, and carrying out safety detection on the target transport vehicle according to the target storage bin state information, the target vehicle state information and the target driver state information.
Optionally, the vehicle-mounted terminal is further configured to extract the current storage bin state information, the current vehicle state information, and state data corresponding to the current driver state information;
the vehicle-mounted terminal is also used for acquiring a data state bit and a timestamp corresponding to the state data;
and the vehicle-mounted terminal is also used for comparing the data state bit with a preset state, eliminating the state data corresponding to the data state bit which is not in accordance with the preset state, and simultaneously supplementing the missing state data according to the timestamp and the time continuity.
Optionally, the server is further configured to determine a first security level corresponding to the target transportation vehicle according to the state information of the target storage bin, determine a second security level corresponding to the target transportation vehicle according to the state information of the target vehicle, and determine a third security level corresponding to the target transportation vehicle according to the state information of the target driver;
the server is further used for determining a target safety level according to the first safety level, the second safety level and the third safety level, and carrying out safety detection on the target transport vehicle according to the target safety level.
Optionally, the server is further configured to determine an environmental parameter of the storage bin according to the state information of the target storage bin, compare the environmental parameter with a preset environmental parameter, and determine a first security level corresponding to the target transportation vehicle according to a parameter comparison result;
the server is further used for determining the vehicle body state and the running track of the target transport vehicle according to the target vehicle state information, comparing the running track with a preset transport track, and determining a second safety level corresponding to the target transport vehicle according to the vehicle body state and track comparison result;
the server is further used for determining the mental state of the driver according to the state information of the target driver and determining a third safety level corresponding to the target transport vehicle according to the mental state.
Optionally, the vehicle-mounted terminal is further configured to acquire surrounding environment information of the target transportation vehicle acquired by the sensor, and upload the surrounding environment information to the server;
the server is further used for receiving the ambient environment information uploaded by the vehicle-mounted terminal, determining the driving operation behavior of the driver according to the target driver state information, and judging whether the driving operation behavior is a normal driving behavior according to the ambient environment information;
and the server is also used for re-determining the third safety level corresponding to the target transport vehicle according to the judgment result.
Further, in order to achieve the above object, the present invention also provides a special transportation vehicle safety monitoring method, which is applied to the special transportation vehicle safety monitoring system as described above, and the special transportation vehicle safety monitoring system includes:
the safety monitoring method for the special transport vehicle comprises the following steps:
the sensor acquires current storage bin state information, current vehicle state information and current driver state information of a target transport vehicle, and sends the current storage bin state information, the current vehicle state information and the current driver state information to the vehicle-mounted terminal;
the vehicle-mounted terminal receives current storage bin state information, current vehicle state information and current driver state information sent by the sensor, preprocesses the current storage bin state information, the current vehicle state information and the current driver state information to obtain target storage bin state information, target vehicle state information and target driver state information, and uploads the target storage bin state information, the target vehicle state information and the target driver state information to the server;
and the server receives the state information of the target storage bin, the state information of the target vehicle and the state information of the target driver sent by the vehicle-mounted terminal, and carries out safety detection on the target transport vehicle according to the state information of the target storage bin, the state information of the target vehicle and the state information of the target driver.
Optionally, the receiving, by the vehicle-mounted terminal, the current storage bin state information, the current vehicle state information, and the current driver state information sent by the sensor, and preprocessing the current storage bin state information, the current vehicle state information, and the current driver state information includes:
the vehicle-mounted terminal extracts the current storage bin state information, the current vehicle state information and state data corresponding to the current driver state information;
the vehicle-mounted terminal acquires a data state bit and a timestamp corresponding to the state data;
and the vehicle-mounted terminal compares the data state bit with a preset state, eliminates the state data corresponding to the data state bit which is not in accordance with the preset state, and simultaneously completes the missing state data according to the timestamp and the time continuity.
Optionally, the receiving, by the server, target storage bin state information, target vehicle state information, and target driver state information sent by the vehicle-mounted terminal, and performing security detection on the target transportation vehicle according to the target storage bin state information, the target vehicle state information, and the target driver state information includes:
the server determines a first safety level corresponding to the target transport vehicle according to the state information of the target storage bin, determines a second safety level corresponding to the target transport vehicle according to the state information of the target transport vehicle, and determines a third safety level corresponding to the target transport vehicle according to the state information of the target driver;
and the server determines a target safety level according to the first safety level, the second safety level and the third safety level, and performs safety detection on the target transport vehicle according to the target safety level.
Optionally, the determining, by the server, a first safety level corresponding to the target transportation vehicle according to the state information of the target storage bin, a second safety level corresponding to the target transportation vehicle according to the state information of the target transportation vehicle, and a third safety level corresponding to the target transportation vehicle according to the state information of the target driver by the server include:
the server determines the environmental parameters of the storage bin according to the state information of the target storage bin, compares the environmental parameters with preset environmental parameters, and determines a first safety level corresponding to the target transport vehicle according to a parameter comparison result;
the server determines the body state and the running track of the target transport vehicle according to the state information of the target transport vehicle, compares the running track with a preset transport track, and determines a second safety level corresponding to the target transport vehicle according to the comparison result of the body state and the track;
and the server determines the mental state of the driver according to the state information of the target driver and determines a third safety level corresponding to the target transport vehicle according to the mental state.
Optionally, after the server determines a first safety level corresponding to the target transportation vehicle according to the state information of the target storage bin, determines a second safety level corresponding to the target transportation vehicle according to the state information of the target transportation vehicle, and determines a third safety level corresponding to the target transportation vehicle according to the state information of the target driver, the method further includes:
the vehicle-mounted terminal acquires the ambient environment information of the target transport vehicle acquired by the sensor and uploads the ambient environment information to the server;
the server receives the ambient environment information uploaded by the vehicle-mounted terminal, determines the driving operation behavior of the driver according to the target driver state information, and judges whether the driving operation behavior is normal driving behavior according to the ambient environment information;
and the server re-determines the third safety level corresponding to the target transport vehicle according to the judgment result.
The sensor acquires the current storage bin state information, the current vehicle state information and the current driver state information of the target transport vehicle, the vehicle-mounted terminal preprocesses the received current storage bin state information, the received current vehicle state information and the received current driver state information to acquire the target storage bin state information, the target vehicle state information and the target driver state information, and finally the server carries out safety detection on the target transport vehicle according to the received target storage bin state information, the received target vehicle state information and the received target driver state information and combines the storage bin state, the vehicle state and the driver state to carry out safety detection, so that the safety detection of the special transport vehicle is more comprehensive and accurate.
Drawings
FIG. 1 is a block diagram of a first embodiment of the safety monitoring system for special transportation vehicles according to the present invention;
FIG. 2 is a block diagram of a second embodiment of the safety monitoring system for special transportation vehicles according to the present invention;
FIG. 3 is a schematic flow chart of a safety monitoring method for a special transportation vehicle according to a first embodiment of the invention;
fig. 4 is a schematic flow chart of a safety monitoring method for special transport vehicles according to a second embodiment of the invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a block diagram of a safety monitoring system for special transportation vehicles according to a first embodiment of the present invention.
In this embodiment, the special transportation vehicle safety monitoring system includes: the sensor 10, the in-vehicle terminal 20, and the server 30 are connected in sequence, and the sensor 10, the in-vehicle terminal 20, and the server 30 communicate with each other through the internet to realize data transmission, and a data transmission protocol may use a File Transfer Protocol (FTP) or another transmission protocol, which is not limited in this embodiment. Be provided with the storage storehouse in this embodiment on the target transport vehicle, the storage storehouse is used for storing combustible gas such as methane or other dangerous goods, there are a plurality of sensors 10 in this embodiment, sensor 10 sets up respectively in the storage storehouse and on the target transport vehicle, sensor 10 type includes environmental sensor 10, vehicle sensor 10 and GPS sensor 10 etc, environmental sensor 10 includes temperature sensor 10 and humidity transducer 10 etc, can set up in the storage storehouse, in order to monitor environmental parameter such as humidity and temperature in the storage storehouse, can also set up outside the storage storehouse, environmental parameter such as the outside humidity of real-time supervision storage storehouse and temperature, can confirm target transport vehicle's current storage storehouse state information based on environmental parameter. The vehicle sensors 10 include an acceleration sensor 10, a rotation angle sensor 10, a vehicle speed sensor 10, a roll angle sensor 10, etc., and current driver state information can be determined by acquiring current vehicle state information of a target transportation vehicle through various different types of vehicle sensors 10 and acquiring driving operation behaviors of a driver from sensor 10 data of a steering wheel, a brake pedal, and an accelerator pedal. Further, in this embodiment, the GPS sensor 10 may monitor the traveling track of the target transportation vehicle in real time, in an actual situation, a corresponding transportation route is set before transportation for the special transportation vehicle transporting the hazardous articles, and by comparing the traveling track of the target transportation vehicle obtained by the GPS sensor 10 in real time with the preset transportation route, it can be determined whether the target transportation vehicle deviates from the preset transportation route, it needs to be emphasized that the current vehicle state information in this embodiment includes not only the vehicle body state, the vehicle traveling speed, and other information, but also the traveling route and other information. Further, in this embodiment, a liquid level sensor 10 and a gas sensor 10 may be further disposed in the storage bin, and the liquid level sensor 10 may detect whether the oil stored in the transportation vehicle leaks, if the current liquid level height in the storage bin is greater than the preset liquid level height, it indicates that the oil in the storage bin leaks, otherwise, it indicates that the oil leaks, and the gas sensor 10 may also detect whether the methane gas stored in the transportation vehicle leaks, and if the current gas concentration in the storage bin is greater than the preset gas concentration, it indicates that the methane gas in the storage bin stores the leaked methane gas, and otherwise, it indicates that the methane gas leaks. In addition, in the present embodiment, it should be noted that, in addition to being able to detect whether the driving operation behavior of the driver is safe through the sensor 10, the mental state of the driver can be detected through the physiological signal sensor 10 such as the heart rate sensor 10 and the respiration sensor 10, and whether the driver is in the fatigue driving state is determined, so the current driver state information in the present embodiment includes not only the driving operation behavior but also the mental state of the driver. In this embodiment, the type of the sensor 10 and the corresponding setting position are not limited, and may be adjusted accordingly according to the actual situation.
It should be noted that the sensor 10 in this embodiment is responsible for collecting the state information, and does not process the collected state information, and after the sensor 10 collects the state information, the state information is sent to the vehicle-mounted terminal 20, in this embodiment, the vehicle-mounted terminal 20 may be used for data processing, so after the sensor 10 sends the state information to the vehicle-mounted terminal 20, in order to improve the accuracy of the state information, the vehicle-mounted terminal 20 stores the received current storage bin state information, current vehicle state information, and current driver state information, and performs preprocessing at the same time. In practical situations, in the process of various status information collected by the sensor 10, there are usually data defects, erroneous data and redundant data, and the status information collected by the sensor 10 is also data in nature, so that noise in the status information can be eliminated by means of preprocessing, the erroneous and redundant status information can be deleted, and the defective status information can be filled up, so as to obtain target storage bin status information, target vehicle status information and target driver status information.
In a specific implementation, after the in-vehicle terminal 20 preprocesses the current storage bin state information, the current vehicle state information, and the current driver state information, the obtained target storage bin state information, target vehicle state information, and target driver state information are uploaded to the server 30. The server 30 stores a large amount of analysis data based on big data technology, and can analyze the safety state of the transportation vehicle according to the target storage bin state information, the target vehicle state information and the target driver state information uploaded by the vehicle-mounted terminal 20, so as to realize safety detection. In this embodiment, the server 30 may compare the state information of the storage bin with the state information of the target storage bin when the transportation vehicle is normally and safely driven, compare the state information of the vehicle with the state information of the target vehicle, compare the state information of the driver with the state information of the target driver, and perform safety detection on the target transportation vehicle according to the comparison result of the state information. For example, the comparison of the state information includes comparing the vehicle body roll angle obtained according to the target vehicle body state information with the vehicle body roll angle in normal driving, and if the vehicle body roll angle is smaller than the vehicle body roll angle in normal driving, it indicates that the target transport vehicle is in a safe state.
Further, in a specific implementation, in this embodiment, the corresponding status data may be extracted from the current storage bin status information, the current vehicle status information, and the current driver status information, and then the status bit corresponding to the status data and the timestamp corresponding to the sensor 10 when acquiring the status information are acquired, where the status bits corresponding to different status information are different, for example, the status bit 0000 represents humidity data of the storage bin, 0001 represents temperature data of the storage bin, 0100 represents a steering angle of a steering wheel, 1000 represents a side tilt angle of a vehicle body, and the timestamp corresponds to a current time when the sensor 10 acquires a certain data, and for example, the status bit 0000 represents a timestamp corresponding to the humidity data of the storage bin as T1, 0100 represents a timestamp corresponding to the steering angle of the steering wheel as T2, and 1000 represents a timestamp corresponding to the side tilt angle of the vehicle body as T3. The preprocessing of the state information is to compare the data states with preset state bits, for example, three state bits of 00, 01 and 10, and if 20 state bits occur, the 20 states and the corresponding state information are removed. Further, since the sensor 10 acquires the status information in real time, the timestamps corresponding to the status information acquired by the sensor 10 are consecutive, for example, consecutive timestamps T1, T2, and T3, and if a certain timestamp lacks status information, the status information corresponding to the timestamp is supplemented, for example, if the status information corresponding to the timestamp T1 is a, the status information corresponding to no timestamp T2, and the status information corresponding to the timestamp T3 is C in consecutive timestamps T1, T2, and T3, the status information corresponding to the timestamp T2 is supplemented. In this embodiment, information variables may be generated according to the data attributes corresponding to the state information a and the state information C, so as to fill in the missing state information of the timestamp T2. In this embodiment, the preset status bit and the status information completing method may be set according to actual situations, which is not limited in this embodiment.
The method includes the steps that a sensor acquires current storage bin state information, current vehicle state information and current driver state information of a target transport vehicle, a vehicle-mounted terminal preprocesses the received current storage bin state information, current vehicle state information and current driver state information to acquire the target storage bin state information, the target vehicle state information and the target driver state information, and finally a server carries out safety detection on the target transport vehicle according to the received target storage bin state information, the target vehicle state information and the target driver state information and combines the storage bin state, the vehicle state and the driver state to carry out safety detection, so that safety detection of the special transport vehicle is more comprehensive and accurate.
Further, referring to fig. 2, fig. 2 is a block diagram of a second embodiment of the safety monitoring system for special transportation vehicles according to the present invention.
In this embodiment, the server 30' determines the security level corresponding to the target transportation vehicle according to the received target storage bin state information, the target vehicle state information and the target driver state information, so as to implement security detection on the target transportation vehicle. In particular implementations, the server 30' may compare the target storage bin state information with the storage bin information when the transporter is traveling safely, determine a first security level of the target transporter based on the comparison, compare the target vehicle state information with the vehicle state information when the transporter is traveling safely, determine a second security level of the target transporter based on the comparison, compare the target driver state information with the driver state information when the transporter is traveling safely, and determine a third security level of the target transporter based on the comparison. Specifically, the corresponding security level may be determined according to the difference between the state data in the state information and by combining the mapping relationship table of the difference and the security level.
In a specific implementation, the server 30' extracts the current humidity, the current temperature and the state of the transported dangerous goods in the storage bin from the state information of the target storage bin, in this embodiment, the current humidity is compared with a humidity threshold, and the current temperature is compared with a temperature threshold, so as to determine whether the environment of the storage bin is suitable for storing the transported dangerous goods, the current humidity and the current temperature are environmental parameters of the storage bin, the humidity threshold and the temperature threshold are determined by the type of the transported dangerous goods, and the humidity and the temperature required by different dangerous goods are different. Further, after comparing the humidity with the temperature, in this embodiment, it is also detected whether there is a dangerous goods leakage in the storage bin, because even if there is a dangerous goods leakage phenomenon in the case that the current humidity and the current temperature meet the conditions, the transportation vehicle at this time is easily in an unsafe state, and by comparing the current liquid level height or the current gas concentration in the storage bin with the corresponding height threshold or concentration threshold, and finally combining the three comparison results to determine the first safety level of the target transportation vehicle, for example, if the current humidity of the storage bin is less than the humidity threshold, the current temperature is less than the temperature threshold, and the current gas concentration is less than the concentration threshold, the first safety level may be X1, if the current humidity of the storage bin is greater than the humidity threshold, the current temperature is less than the temperature threshold, and if the current gas concentration is greater than the concentration threshold, the first safety level X2 may be obtained, and the specific level setting may be adjusted according to the actual situation, which is not limited in this embodiment.
In a specific implementation, the server 30' may further extract a vehicle body state and a driving track of the target transportation vehicle from the state information of the target vehicle, compare a current roll angle corresponding to the vehicle body state with a preset roll angle, compare the driving track with a preset track, and combine two comparison results to determine a second safety level of the target transportation vehicle, for convenience of understanding, for example, if the current roll angle is greater than the preset roll angle and the driving track deviates from the preset track, the second safety level may be determined to be Y1, and if the current roll angle is less than the preset roll angle and the driving track does not deviate from the preset track, the second safety level may be determined to be Y2.
In a specific implementation, the server 30' may further extract the mental state of the driver from the target driver state information, and determine a third safety level corresponding to the target transportation vehicle according to the mental state of the driver, for example, if the driver is awake, the third safety level may be determined as Z1, and if the driver is tired, the third safety level may be determined as Z2.
Further, in order to improve the accuracy of the third safety level, in the present embodiment, the driving operation behavior of the driver is extracted from the state information of the target driver, and whether the driving operation behavior is a normal behavior is determined, and the third safety level is re-determined according to the determination result and in combination with the mental state of the driver, and in the present embodiment, determining whether the driving operation behavior is a normal behavior requires combining the surrounding environment information of the target vehicle, because even the abnormal driving behavior operation in different scenes can be determined as the normal driving behavior operation, for example, the sudden braking operation in case of emergency, and in this special case, it can be determined that the normal driving behavior operation is performed at this time, in the present embodiment, the surrounding environment information of the target vehicle is collected by the sensors 10 arranged around the target transportation vehicle, and is sent to the server 30 'through the vehicle-mounted terminal 20', the surrounding environment information is used to determine the scene in which the target transportation vehicle travels at that time.
Further, after obtaining the first security level, the second security level, and the third security level, a corresponding target security level may be determined, in this embodiment, a corresponding weight value is set for each security level in advance, and the target security level is calculated by using the weight values, for example, the first security level is L1, the corresponding weight value is a, the second security level is L2, the corresponding weight value is b, the third security level is L3, and the corresponding weight value is c, so that a target security level of L = aL1+ bL1+ cL1 may be obtained.
The server determines a first safety level corresponding to the target transport vehicle according to the state information of the target storage bin, determines a second safety level corresponding to the target transport vehicle according to the state information of the target transport vehicle, determines a third safety level corresponding to the target transport vehicle according to the state information of the target driver, determines a target safety level according to the first safety level, the second safety level and the third safety level, performs safety detection on the target transport vehicle according to the target safety level, and performs comprehensive safety detection on the transport vehicle according to different safety levels corresponding to different states, so that the safety detection of the special transport vehicle is more comprehensive and accurate.
Referring to fig. 3, fig. 3 is a schematic flow chart of a special transportation vehicle safety monitoring method according to a first embodiment of the present invention, the special transportation vehicle safety monitoring method is applied to a special transportation vehicle safety monitoring system, and the special transportation vehicle safety monitoring system includes: the system comprises a sensor, a vehicle-mounted terminal and a server which are connected in sequence;
the safety monitoring method for the special transport vehicle comprises the following steps:
step S10: the sensor acquires current storage bin state information, current vehicle state information and current driver state information of a target transport vehicle, and sends the current storage bin state information, the current vehicle state information and the current driver state information to the vehicle-mounted terminal.
Step S20: the vehicle-mounted terminal receives current storage bin state information, current vehicle state information and current driver state information sent by the sensor, preprocesses the current storage bin state information, the current vehicle state information and the current driver state information to obtain target storage bin state information, target vehicle state information and target driver state information, and uploads the target storage bin state information, the target vehicle state information and the target driver state information to the server.
Step S30: and the server receives the state information of the target storage bin, the state information of the target vehicle and the state information of the target driver sent by the vehicle-mounted terminal, and carries out safety detection on the target transport vehicle according to the state information of the target storage bin, the state information of the target vehicle and the state information of the target driver.
In this embodiment, the special transportation vehicle safety monitoring system includes: the sensor, the vehicle-mounted terminal and the server are connected in sequence, and the sensor, the vehicle-mounted terminal and the server are communicated through the internet to realize data transmission, and a data transmission protocol may adopt a File Transfer Protocol (FTP) or other transmission protocols, which is not limited in this embodiment. Be provided with the storage storehouse in this embodiment on the target haulage vehicle, the storage storehouse is used for storing combustible gas such as methane or other hazardous articles, there are a plurality of sensors in this embodiment, the sensor sets up respectively in the storage storehouse and on the target haulage vehicle, the sensor type includes environmental sensor, vehicle sensor and GPS sensor etc, environmental sensor includes temperature sensor and humidity transducer etc, can set up in the storage storehouse, with environmental parameter such as humidity and temperature in the monitoring storage storehouse, can also set up outside the storage storehouse, environmental parameter such as the outside humidity of real-time supervision storage storehouse and temperature, can confirm target haulage vehicle's current storage storehouse state information based on environmental parameter. The vehicle sensors comprise an acceleration sensor, a rotation angle sensor, a vehicle speed sensor, a roll angle sensor and the like, and the current vehicle state information of the target transport vehicle can be obtained through various different types of vehicle sensors, and the driving operation behavior of the driver can be obtained according to the sensor data of a steering wheel, a brake pedal and an accelerator pedal, so that the current driver state information can be determined. Further, in this embodiment, the GPS sensor may monitor the traveling track of the target transportation vehicle in real time, in an actual situation, the corresponding transportation route is set before transportation for the special transportation vehicle transporting the hazardous articles, and by comparing the traveling track of the target transportation vehicle obtained by the GPS sensor in real time with the preset transportation route, it can be determined whether the target transportation vehicle deviates from the preset transportation route, it needs to be emphasized that the current vehicle state information in this embodiment includes not only the vehicle body state, the vehicle traveling speed, and other information, but also the traveling route and other information. Further, in this embodiment, a liquid level sensor, a gas sensor and the like may be further disposed in the storage bin, and the liquid level sensor may detect whether the oil stored in the transportation vehicle leaks or not, and if the current liquid level height in the storage bin is greater than the preset liquid level height, it indicates that the oil in the storage bin leaks, otherwise, it indicates that the oil leaks or not in the storage bin, and the gas sensor may detect whether the methane gas stored in the transportation vehicle leaks or not, and if the current gas concentration in the storage bin is greater than the preset gas concentration, it indicates that the methane gas in the storage bin stores or leaks, and otherwise, it indicates that the methane gas does not leak in the storage bin. In addition, it should be noted that, in this embodiment, in addition to detecting whether the driving operation behavior of the driver is safe through the sensor, the mental state of the driver can be detected through the physiological signal sensor such as the heart rate sensor and the respiration sensor, and whether the driver is in the fatigue driving state is determined, so that the current driver state information in this embodiment includes not only the driving operation behavior but also the mental state of the driver. In this embodiment, the type of the sensor and the corresponding setting position are not limited, and may be adjusted accordingly according to actual conditions.
It should be noted that the sensor in this embodiment is responsible for acquiring the state information, and does not process the acquired state information, and after the sensor acquires the state information, the state information is sent to the vehicle-mounted terminal. In practical situations, in the process of various status information collected by the sensor, there are usually data defects, situations of erroneous data and redundant data, and the status information collected by the sensor is also data in nature, and noise in the status information can be eliminated by a preprocessing manner, the erroneous and redundant status information is deleted, and the defective status information is filled up, so as to obtain target storage bin status information, target vehicle status information, and target driver status information.
In specific implementation, after the vehicle-mounted terminal preprocesses the current storage bin state information, the current vehicle state information and the current driver state information, the obtained target storage bin state information, the obtained target vehicle state information and the obtained target driver state information are uploaded to the server. A large amount of analysis data are stored in the server based on a big data technology, and the safety state of the transport vehicle can be analyzed according to the state information of the target storage bin, the state information of the target vehicle and the state information of the target driver uploaded by the vehicle-mounted terminal, so that safety detection is realized. In this embodiment, the server may compare the state information of the storage bin with the state information of the target storage bin when the transportation vehicle runs normally and safely, compare the state information of the vehicle with the state information of the target vehicle, compare the state information of the driver with the state information of the target driver, and perform safety detection on the target transportation vehicle according to the comparison result of the state information. For example, the comparison of the state information includes comparing the vehicle body roll angle obtained according to the target vehicle body state information with the vehicle body roll angle in normal driving, and if the vehicle body roll angle is smaller than the vehicle body roll angle in normal driving, it indicates that the target transport vehicle is in a safe state.
Further, the step S20 further includes: the vehicle-mounted terminal extracts the current storage bin state information, the current vehicle state information and state data corresponding to the current driver state information; the vehicle-mounted terminal acquires a data state bit and a timestamp corresponding to the state data; and the vehicle-mounted terminal compares the data state bit with a preset state, eliminates the state data corresponding to the data state bit which is not in accordance with the preset state, and simultaneously completes the missing state data according to the timestamp and the time continuity.
In a specific implementation, in this embodiment, the corresponding status data may be extracted from the current storage bin status information, the current vehicle status information, and the current driver status information, and then the status bit corresponding to the status data and the timestamp corresponding to the sensor when acquiring the status information are acquired, where the status bits corresponding to different status information are different, for example, the status bit 0000 represents humidity data of the storage bin, 0001 represents temperature data of the storage bin, 0100 represents a steering angle of a steering wheel, 1000 represents a roll angle of a vehicle body, and the timestamp corresponds to a current time when the sensor acquires a certain data, and for example, the status bit 0000 represents a timestamp corresponding to humidity data of the storage bin as T10100 denotes that the time stamp corresponding to the steering angle of the steering wheel is T2And 1000 represents that the time stamp corresponding to the roll angle of the vehicle body is T3. The preprocessing of the state information is to compare the data states with preset state bits, for example, three state bits of 00, 01 and 10, and if 20 state bits occur, the 20 states and the corresponding state information are removed. Further, since the sensor acquires the status information in real time, the timestamps corresponding to the status information acquired by the sensor are continuous, such as the continuous timestamps T1、T2And T3If some time stamp is missing state information, corresponding the time stampFilling up the state information of, e.g. successive time stamps T1、T2And T3Middle time stamp T1Corresponding state information is A, no time stamp T2Corresponding status information, time stamp T3If the corresponding status information is C, the timestamp T is set2And completing corresponding state information. In this embodiment, the information variable may be generated according to the data attribute corresponding to the state information a and the state information C to fill the timestamp T2Missing status information. In this embodiment, the preset status bit and the status information completing method may be set according to actual situations, which is not limited in this embodiment.
The method includes the steps that a sensor acquires current storage bin state information, current vehicle state information and current driver state information of a target transport vehicle, a vehicle-mounted terminal preprocesses the received current storage bin state information, current vehicle state information and current driver state information to acquire the target storage bin state information, the target vehicle state information and the target driver state information, and finally a server carries out safety detection on the target transport vehicle according to the received target storage bin state information, the target vehicle state information and the target driver state information and combines the storage bin state, the vehicle state and the driver state to carry out safety detection, so that safety detection of the special transport vehicle is more comprehensive and accurate.
Fig. 4 is a schematic flow chart of a safety monitoring method based on a special transportation vehicle according to a second embodiment of the present invention, and the safety monitoring method based on a special transportation vehicle according to the second embodiment of the present invention is proposed based on the first embodiment.
In this embodiment, the step S30 includes:
step S301: and the server determines a first safety level corresponding to the target transport vehicle according to the state information of the target storage bin, determines a second safety level corresponding to the target transport vehicle according to the state information of the target transport vehicle, and determines a third safety level corresponding to the target transport vehicle according to the state information of the target driver.
Step S302: and the server determines a target safety level according to the first safety level, the second safety level and the third safety level, and performs safety detection on the target transport vehicle according to the target safety level.
In this embodiment, the server determines the security level corresponding to the target transportation vehicle according to the received target storage bin state information, the target vehicle state information and the target driver state information, so as to implement security detection on the target transportation vehicle. In a specific implementation, the server may compare the target storage bin state information with storage bin information of the transport vehicle during safe driving, determine a first safety level of the target transport vehicle according to the comparison, compare the target vehicle state information with vehicle state information of the transport vehicle during safe driving, determine a second safety level of the target transport vehicle according to the comparison result, compare the target driver state information with driver state information of the transport vehicle during safe driving, and determine a third safety level of the target transport vehicle according to the comparison result. Specifically, the corresponding security level may be determined according to the difference between the state data in the state information and by combining the mapping relationship table of the difference and the security level.
In specific implementation, the server extracts the current humidity, the current temperature and the state of the transported dangerous goods in the storage bin from the state information of the target storage bin, in this embodiment, the current humidity is compared with a humidity threshold, and the current temperature is compared with a temperature threshold, so as to determine whether the environment of the storage bin is suitable for storing the transported dangerous goods, the current humidity and the current temperature are environmental parameters of the storage bin, the humidity threshold and the temperature threshold are determined by the type of the transported dangerous goods, and the humidity and the temperature required by different dangerous goods are different. Further, after the comparison of the humidity and the temperature is performed, whether the dangerous goods leakage exists in the storage bin is also detected in the embodiment, because even if the current humidity and the current temperature meet the conditions, if the dangerous goods leakage phenomenon exists, the transportation vehicle at the moment is easily in an unsafe state, and the current liquid level height or the current gas concentration in the storage bin and the corresponding height are used for comparing the current liquid level height or the current gas concentration with the corresponding heightComparing the threshold value or the concentration threshold value, and finally combining the three comparison results to determine a first safety level of the target transportation vehicle, for example, for easy understanding, if the current humidity of the storage bin is less than the humidity threshold value, the current temperature is less than the temperature threshold value, and the current gas concentration is less than the concentration threshold value, the first safety level may be X1If the current humidity of the storage bin is greater than the humidity threshold, the current temperature is less than the temperature threshold, and the current gas concentration is greater than the concentration threshold, then the first safety level X can be obtained2The specific level setting may be adjusted according to actual conditions, which is not limited in this embodiment.
In a specific implementation, the server may further extract a vehicle body state and a driving track of the target transportation vehicle from the state information of the target vehicle, compare a current roll angle corresponding to the vehicle body state with a preset roll angle, compare the driving track with a preset track, and combine two comparison results to determine a second safety level of the target transportation vehicle1If the current roll angle is smaller than the preset roll angle and the running track does not deviate from the preset track, the second safety level can be determined to be Y2。
In a specific implementation, the server may further extract the mental state of the driver from the target driver state information, and determine a third safety level corresponding to the target transportation vehicle according to the mental state of the driver, for example, if the driver is in an awake state, the third safety level may be determined to be Z1If the driver is in fatigue, the third safety level can be determined to be Z2。
Further, in order to improve the accuracy of the third safety level, the present embodiment further extracts the driving operation behavior of the driver from the target driver state information, and determines whether the driving operation behavior is a normal behavior, re-determining the third safety level in accordance with the judgment result in conjunction with the above-described mental state of the driver, judging whether the driving performance behavior is normal behavior in this embodiment requires the combination with the surrounding environment information of the target vehicle, because even abnormal driving behavior operation under different scenes can be regarded as normal driving behavior operation, such as sudden braking operation in case of emergency, in this particular case, it can be considered that the normal driving behavior operation is performed at this time, and the surrounding environment information of the target vehicle in this embodiment is collected by the sensors disposed around the target transportation vehicle, and the surrounding environment information is used to determine the driving scene of the target transportation vehicle at this time.
Further, after obtaining the first security level, the second security level, and the third security level, the corresponding target security level may be determined, in this embodiment, a corresponding weight value is set for each security level in advance, and the target security level is calculated through the weight value, for example, the first security level is L1The corresponding weighted value is a, and the second security level is L2The corresponding weighted value is b, and the third security level is L3If the corresponding weight value is c, the target security level is L = aL1+bL1+cL1In this embodiment, the weighted values set for the security levels are not limited, and may be set correspondingly according to actual situations.
The server determines a first safety level corresponding to the target transport vehicle according to the state information of the target storage bin, determines a second safety level corresponding to the target transport vehicle according to the state information of the target transport vehicle, determines a third safety level corresponding to the target transport vehicle according to the state information of the target driver, determines a target safety level according to the first safety level, the second safety level and the third safety level, performs safety detection on the target transport vehicle according to the target safety level, and performs comprehensive safety detection on the transport vehicle according to different safety levels corresponding to different states, so that the safety detection of the special transport vehicle is more comprehensive and accurate.
It should be understood that the above is only an example, and the technical solution of the present invention is not limited in any way, and in a specific application, a person skilled in the art may set the technical solution as needed, and the present invention is not limited thereto.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment can be referred to the safety monitoring system for special transportation vehicles provided in any embodiment of the present invention, and are not described herein again.
Further, it is to be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system 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 system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solution of the present invention or portions thereof that contribute to the prior art may be embodied in the form of a software product, where the computer software product is stored in a storage medium (e.g. Read Only Memory (ROM)/RAM, magnetic disk, optical disk), and includes several instructions for enabling a terminal device (e.g. a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A special transportation vehicle safety monitoring system, characterized in that, special transportation vehicle safety monitoring system includes: the system comprises a sensor, a vehicle-mounted terminal and a server which are connected in sequence;
the sensor is used for acquiring the current storage bin state information, the current vehicle state information and the current driver state information of the target transport vehicle, and sending the current storage bin state information, the current vehicle state information and the current driver state information to the vehicle-mounted terminal;
the vehicle-mounted terminal is used for receiving the current storage bin state information, the current vehicle state information and the current driver state information sent by the sensor, preprocessing the current storage bin state information, the current vehicle state information and the current driver state information to obtain target storage bin state information, target vehicle state information and target driver state information, and uploading the target storage bin state information, the target vehicle state information and the target driver state information to the server;
the server is used for receiving the target storage bin state information, the target vehicle state information and the target driver state information sent by the vehicle-mounted terminal, and carrying out safety detection on the target transport vehicle according to the target storage bin state information, the target vehicle state information and the target driver state information.
2. The special transportation vehicle safety monitoring system of claim 1, wherein the vehicle-mounted terminal is further configured to extract status data corresponding to the current storage bin status information, the current vehicle status information, and the current driver status information;
the vehicle-mounted terminal is also used for acquiring a data state bit and a timestamp corresponding to the state data;
and the vehicle-mounted terminal is also used for comparing the data state bit with a preset state, eliminating the state data corresponding to the data state bit which is not in accordance with the preset state, and simultaneously supplementing the missing state data according to the timestamp and the time continuity.
3. The special transportation vehicle safety monitoring system of claim 1, wherein the server is further configured to determine a first safety level corresponding to the target transportation vehicle based on the target storage bin state information, determine a second safety level corresponding to the target transportation vehicle based on the target vehicle state information, and determine a third safety level corresponding to the target transportation vehicle based on the target driver state information;
the server is further used for determining a target safety level according to the first safety level, the second safety level and the third safety level, and carrying out safety detection on the target transport vehicle according to the target safety level.
4. The special transportation vehicle safety monitoring system of claim 3, wherein the server is further configured to determine an environmental parameter of a storage bin according to the status information of the target storage bin, compare the environmental parameter with a preset environmental parameter, and determine a first safety level corresponding to the target transportation vehicle according to a parameter comparison result;
the server is further used for determining the vehicle body state and the running track of the target transport vehicle according to the target vehicle state information, comparing the running track with a preset transport track, and determining a second safety level corresponding to the target transport vehicle according to the vehicle body state and track comparison result;
the server is further used for determining the mental state of the driver according to the state information of the target driver and determining a third safety level corresponding to the target transport vehicle according to the mental state.
5. The special transportation vehicle safety monitoring system as claimed in claim 4, wherein the vehicle-mounted terminal is further configured to acquire the ambient environment information of the target transportation vehicle collected by the sensor and upload the ambient environment information to the server;
the server is further used for receiving the ambient environment information uploaded by the vehicle-mounted terminal, determining the driving operation behavior of the driver according to the target driver state information, and judging whether the driving operation behavior is a normal driving behavior according to the ambient environment information;
and the server is also used for re-determining the third safety level corresponding to the target transport vehicle according to the judgment result.
6. A special transportation vehicle safety monitoring method is applied to the special transportation vehicle safety monitoring system as claimed in any one of claims 1 to 5, and the special transportation vehicle safety monitoring system comprises:
the safety monitoring method for the special transport vehicle comprises the following steps:
the sensor acquires current storage bin state information, current vehicle state information and current driver state information of a target transport vehicle, and sends the current storage bin state information, the current vehicle state information and the current driver state information to the vehicle-mounted terminal;
the vehicle-mounted terminal receives current storage bin state information, current vehicle state information and current driver state information sent by the sensor, preprocesses the current storage bin state information, the current vehicle state information and the current driver state information to obtain target storage bin state information, target vehicle state information and target driver state information, and uploads the target storage bin state information, the target vehicle state information and the target driver state information to the server;
and the server receives the state information of the target storage bin, the state information of the target vehicle and the state information of the target driver sent by the vehicle-mounted terminal, and carries out safety detection on the target transport vehicle according to the state information of the target storage bin, the state information of the target vehicle and the state information of the target driver.
7. The special transport vehicle safety monitoring method according to claim 6, wherein the vehicle-mounted terminal receives current storage bin state information, current vehicle state information and current driver state information sent by the sensor, and preprocesses the current storage bin state information, the current vehicle state information and the current driver state information, and the method comprises the following steps:
the vehicle-mounted terminal extracts the current storage bin state information, the current vehicle state information and state data corresponding to the current driver state information;
the vehicle-mounted terminal acquires a data state bit and a timestamp corresponding to the state data;
and the vehicle-mounted terminal compares the data state bit with a preset state, eliminates the state data corresponding to the data state bit which is not in accordance with the preset state, and simultaneously completes the missing state data according to the timestamp and the time continuity.
8. The special transportation vehicle safety monitoring method according to claim 6, wherein the server receives target storage bin state information, target vehicle state information and target driver state information sent by the vehicle-mounted terminal, and performs safety detection on the target transportation vehicle according to the target storage bin state information, the target vehicle state information and the target driver state information, and the method comprises the following steps:
the server determines a first safety level corresponding to the target transport vehicle according to the state information of the target storage bin, determines a second safety level corresponding to the target transport vehicle according to the state information of the target transport vehicle, and determines a third safety level corresponding to the target transport vehicle according to the state information of the target driver;
and the server determines a target safety level according to the first safety level, the second safety level and the third safety level, and performs safety detection on the target transport vehicle according to the target safety level.
9. The special transportation vehicle safety monitoring method according to claim 8, wherein the server determines a first safety level corresponding to the target transportation vehicle according to the target storage bin state information, determines a second safety level corresponding to the target transportation vehicle according to the target vehicle state information, and determines a third safety level corresponding to the target transportation vehicle according to the target driver state information, and the method comprises the following steps:
the server determines the environmental parameters of the storage bin according to the state information of the target storage bin, compares the environmental parameters with preset environmental parameters, and determines a first safety level corresponding to the target transport vehicle according to a parameter comparison result;
the server determines the body state and the running track of the target transport vehicle according to the state information of the target transport vehicle, compares the running track with a preset transport track, and determines a second safety level corresponding to the target transport vehicle according to the comparison result of the body state and the track;
and the server determines the mental state of the driver according to the state information of the target driver and determines a third safety level corresponding to the target transport vehicle according to the mental state.
10. The special transportation vehicle safety monitoring method according to claim 9, wherein the server determines a first safety level corresponding to the target transportation vehicle according to the target storage bin state information, determines a second safety level corresponding to the target transportation vehicle according to the target vehicle state information, and after determining a third safety level corresponding to the target transportation vehicle according to the target driver state information, further comprises:
the vehicle-mounted terminal acquires the ambient environment information of the target transport vehicle acquired by the sensor and uploads the ambient environment information to the server;
the server receives the ambient environment information uploaded by the vehicle-mounted terminal, determines the driving operation behavior of the driver according to the target driver state information, and judges whether the driving operation behavior is normal driving behavior according to the ambient environment information;
and the server re-determines the third safety level corresponding to the target transport vehicle according to the judgment result.
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Denomination of invention: Safety monitoring system and method for special transportation vehicles Granted publication date: 20211221 Pledgee: Wuhan Caidian Branch of Hubei Bank Co.,Ltd. Pledgor: WUHAN ZONGHENG SMART CITY CO.,LTD. Registration number: Y2024980021347 |