CN114407776A - Dangerous goods transport vehicle monitoring method and device, computer equipment and storage medium - Google Patents
Dangerous goods transport vehicle monitoring method and device, computer equipment and storage medium Download PDFInfo
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- CN114407776A CN114407776A CN202111524556.7A CN202111524556A CN114407776A CN 114407776 A CN114407776 A CN 114407776A CN 202111524556 A CN202111524556 A CN 202111524556A CN 114407776 A CN114407776 A CN 114407776A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 21
- 239000013598 vector Substances 0.000 claims description 19
- 238000004590 computer program Methods 0.000 claims description 13
- 239000013056 hazardous product Substances 0.000 claims description 9
- 238000012806 monitoring device Methods 0.000 claims description 8
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60Q—ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL
- B60Q9/00—Arrangement or adaptation of signal devices not provided for in one of main groups B60Q1/00 - B60Q7/00, e.g. haptic signalling
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R16/00—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for
- B60R16/02—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements
- B60R16/023—Electric or fluid circuits specially adapted for vehicles and not otherwise provided for; Arrangement of elements of electric or fluid circuits specially adapted for vehicles and not otherwise provided for electric constitutive elements for transmission of signals between vehicle parts or subsystems
- B60R16/0231—Circuits relating to the driving or the functioning of the vehicle
- B60R16/0232—Circuits relating to the driving or the functioning of the vehicle for measuring vehicle parameters and indicating critical, abnormal or dangerous conditions
Abstract
The application provides a dangerous goods transport vehicle monitoring method and device, computer equipment and a storage medium, relates to the technical field of navigation, and is used for determining data needing to be controlled in real time and ensuring the safety of a dangerous goods transport vehicle. The method mainly comprises the following steps: acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment; according to preset conditions, comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively to determine whether each item of data needs to be controlled; and if the data needing to be controlled exist, outputting alarm information, wherein the alarm information is the data needing to be controlled.
Description
Technical Field
The application relates to the technical field of Internet of things, in particular to a dangerous goods transport vehicle monitoring method and device, computer equipment and a storage medium.
Background
The dangerous goods are general names of inflammable, explosive and strongly corrosive goods, the transportation of the dangerous goods has huge danger, the goods and materials loss or the casualties can be caused by slight carelessness, most dangerous goods can generate violent chemical reaction under the external action, a large amount of gas and heat are generated instantaneously, the surrounding pressure rises suddenly, explosion occurs, and the dangerous goods have strong toxic and harmful, suffocation, burning and stimulation effects on people and livestock. Different from general vehicle accidents, the dangerous chemical transport vehicle accidents often cause secondary damage, and great damage is brought to lives and properties of people.
Most of the existing dangerous goods transport vehicles can detect whether accidents occur in the transportation process of dangerous goods, so that transport personnel can not observe real-time data in time, the safety of the transport personnel can not be guaranteed, secondly, the existing dangerous goods transport vehicles can not accurately position tools for transporting the dangerous goods through online monitoring, and workers can not timely handle the dangerous goods transport vehicles when accidents occur, so that the safety of lives and property of people is influenced.
Disclosure of Invention
The embodiment of the application provides a monitoring method and device for a dangerous goods transport vehicle, computer equipment and a storage medium, which are used for determining data needing to be controlled in real time and ensuring the safety of the dangerous goods transport vehicle.
The embodiment of the invention provides a monitoring method for a dangerous goods transport vehicle, which comprises the following steps:
acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment;
according to preset conditions, comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively to determine whether each item of data needs to be controlled;
and if the data needing to be controlled exist, outputting alarm information, wherein the alarm information is the data needing to be controlled.
The embodiment of the invention provides a monitoring device for a dangerous goods transport vehicle, which comprises:
the acquisition module is used for acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment;
the determining module is used for comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively according to preset conditions to determine whether each item of data needs to be controlled;
and the output module is used for outputting alarm information if the determining module determines that the data needing to be controlled exists, wherein the alarm information is the data needing to be controlled.
A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the above hazardous material transport vehicle monitoring method when executing the computer program.
A computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the above-described hazardous-material transportation vehicle monitoring method.
The invention provides a dangerous goods transport vehicle monitoring method, a dangerous goods transport vehicle monitoring device, a computer device and a storage medium. Therefore, the data required to be controlled can be determined in real time through the method and the system, and the safety of the dangerous goods transport vehicle is ensured.
Drawings
FIG. 1 is a flow chart of a method for monitoring a transportation vehicle for hazardous materials according to the present application;
FIG. 2 is a flow chart of another hazardous materials transport vehicle monitoring method provided by the present application;
FIG. 3 is a block diagram of a monitoring device for a transportation vehicle for hazardous materials according to the present application;
fig. 4 is a schematic diagram of a computer device provided in the present application.
Detailed Description
In order to better understand the technical solutions described above, the technical solutions of the embodiments of the present application are described in detail below with reference to the drawings and the specific embodiments, and it should be understood that the specific features of the embodiments and the embodiments of the present application are detailed descriptions of the technical solutions of the embodiments of the present application, and are not limitations of the technical solutions of the present application, and the technical features of the embodiments and the embodiments of the present application may be combined with each other without conflict.
Referring to fig. 1, the present invention provides a method for monitoring a transportation vehicle for hazardous materials, which specifically includes steps S101-S103:
and S101, acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment.
In this embodiment, each item of data of the transportation vehicle for the hazardous materials may be acquired according to a preset time interval, where the preset time interval may be specifically 1 hour, 2 hours, 3 hours, and the like, and the embodiment of the present invention is not specifically limited.
It should be noted that the temperature data, the humidity data and the pressure data are data in the closed space for loading the dangerous goods; the vibration amplitude data is the integral vibration amplitude of the dangerous goods transport vehicle. Specifically, temperature data can be obtained through a temperature sensor in the dangerous goods loading enclosed space, humidity data can be obtained through a humidity sensor in the dangerous goods loading enclosed space, pressure data can be obtained through a pressure sensor in the dangerous goods loading enclosed space, and vibration amplitude data can be obtained through a vibration sensor.
Step S102, according to preset conditions, comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively, and determining whether each item of data needs to be controlled.
The preset conditions can be set according to actual requirements. For example, for temperature data, the preset condition may be that an absolute value of a temperature difference between the temperature data acquired at the current time and the temperature data acquired at the previous time is greater than a preset temperature value, and when the condition is satisfied, it is determined that the temperature data needs to be controlled; for the humidity data, the preset condition may be that an absolute value of a humidity difference between the humidity data acquired at the current moment and the humidity data acquired at the previous moment is greater than a preset humidity value, and when the condition is met, it is determined that the humidity data needs to be controlled; for the pressure data, the preset condition may be that an absolute value of a pressure difference between the pressure data acquired at the present moment and the pressure data acquired at the previous moment is greater than a preset pressure value, and when the condition is met, it is determined that the pressure data needs to be controlled; for the vibration amplitude data, the preset condition may be that an absolute value of a vibration amplitude difference between the vibration amplitude data acquired at the current time and the vibration amplitude data acquired at the previous time is greater than a preset vibration amplitude value, and when the condition is satisfied, it is determined that the vibration amplitude data needs to be controlled.
In an alternative embodiment, determining whether the temperature data requires control may include:
1. and determining whether the absolute value of the difference value between the temperature data acquired at the current moment and the temperature data acquired at the previous moment is greater than a first preset temperature value.
The first preset temperature data may be 3 degrees, 5 degrees, or 10 degrees, and the embodiment is not limited in detail. It should be noted that, the smaller the time interval between the current time and the previous time is set, the smaller the first preset temperature value can be set correspondingly; conversely, the larger the time interval between the current time and the previous time is set, the larger the first preset temperature value may be set correspondingly, but the set first temperature value cannot be larger than a certain value.
2. And if the absolute value of the difference value between the temperature data acquired at the current moment and the temperature data acquired at the previous moment is greater than a first preset temperature value, acquiring outdoor temperature data.
Wherein, outdoor temperature data can be obtained through the temperature sensor who installs outside the hazardous materials transport vechicle.
For example, if the first preset temperature value is 10 degrees, the temperature data obtained at the current time is 25 degrees, and the temperature data obtained at the previous time is 14 degrees, the absolute value of the difference between the temperature data at the current time and the temperature data at the previous time is 11 degrees, and if the absolute value is greater than the first preset temperature value, the outdoor temperature data needs to be obtained.
3. And determining whether the absolute value of the difference value between the temperature data acquired at the current moment and the outdoor temperature data is larger than a second preset temperature value.
It should be noted that, since the outdoor temperature may affect the temperature in the enclosed space for loading the hazardous articles, that is, the outdoor temperature increases, and the temperature in the enclosed space for loading the hazardous articles correspondingly increases; the outdoor temperature is reduced, and the temperature in the corresponding dangerous goods-loaded closed space is also reduced correspondingly. Therefore, after the outdoor temperature data is acquired, it is necessary to determine whether an absolute value of a difference between the currently acquired temperature data and the outdoor temperature data is greater than a second preset temperature value.
The second preset temperature value can be specifically determined by counting historical temperature data, namely the temperatures in the dangerous goods loading enclosed space corresponding to different outdoor temperatures are obtained from the historical temperature data, then the temperatures in the dangerous goods loading enclosed space are averaged to obtain the temperatures in the dangerous goods loading enclosed space corresponding to different outdoor temperatures, then the absolute value of the temperature difference between the outdoor temperature data and the dangerous goods loading enclosed space is calculated, and then the calculated absolute value of the temperature difference is used as the second preset temperature value corresponding to the outdoor temperature.
4. And if the absolute value of the difference value between the temperature data acquired at the current moment and the outdoor temperature data is greater than a second preset temperature value, determining that the temperature data acquired at the current moment needs to be controlled.
For example, the temperature data obtained at the current time is 30 degrees, the outdoor temperature data obtained at the current time is 38 degrees, when the outdoor temperature in the history data is 38 degrees, the average value of the temperatures in the corresponding closed space for loading the dangerous goods is 35, that is, the second preset temperature value corresponding to the outdoor temperature of 38 degrees is 3 degrees, the absolute value of the difference between the temperature data obtained at the current time and the outdoor temperature data is greater than the second preset temperature value, and it is determined that the temperature data obtained at the current time needs to be controlled.
And step S103, if the data needing to be controlled exist, outputting alarm information.
Wherein, the alarm information is data which needs to be controlled. The data controlled may be temperature data, humidity data, pressure data and/or vibration amplitude data.
In this embodiment, if there is data to be controlled, the vibration amplitude, temperature, humidity, and pressure are controlled by the speed control unit, the steering control unit, the temperature and humidity control unit, and the pressure control unit, respectively, so as to adjust the values to safe values.
The invention provides a monitoring method of a dangerous goods transport vehicle, which comprises the steps of firstly obtaining temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment, then comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data obtained at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data obtained by the dangerous goods transport vehicle at the previous moment according to preset conditions, determining whether each item of data needs to be controlled, and finally outputting alarm data needing to be controlled. Therefore, the data required to be controlled can be determined in real time through the method and the system, and the safety of the dangerous goods transport vehicle is ensured.
Referring to fig. 2, another monitoring method for a transportation vehicle for dangerous goods according to the present invention includes steps S201 to S210:
step S201, obtaining temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment.
Step S202, according to preset conditions, the temperature data, the humidity data, the pressure data and the vibration amplitude data which are acquired at the current moment are respectively compared with the temperature data, the humidity data, the pressure data and the vibration amplitude data which are acquired at the last moment of the dangerous goods transport vehicle, and whether each item of data needs to be controlled or not is determined.
It should be noted that step S201 and step S202 in this embodiment are the same as the description of the corresponding steps in fig. 1, and this embodiment is not repeated herein.
Step S203, if there is data to be controlled, converting the temperature data, humidity data, pressure data, vibration amplitude data, and outdoor temperature data obtained at the current time into corresponding eigenvectors respectively.
In an embodiment, after it is preliminarily determined that there is data requiring control through the temperature data, the humidity data, the pressure data, the vibration amplitude data, and the outdoor temperature data acquired at the previous time, it may be determined again whether there is data requiring control through the transporter danger data recognition model.
Specifically, the temperature data, the humidity data, the pressure data, the vibration amplitude data and the outdoor temperature data are respectively converted into eigenvectors, so that the data labels corresponding to the data in each step are determined according to the converted eigenvectors in the subsequent step.
And step S204, merging all the feature vectors to obtain a fused feature vector.
The fusion feature vector represents the features of each item of data of the dangerous goods transport vehicle, namely the fusion feature vector comprises the features corresponding to the temperature data, the humidity data, the pressure data, the vibration amplitude data and the outdoor temperature data respectively.
Specifically, the fusion feature vector can be obtained by splicing the feature vectors of the acquired data. In this embodiment, the dimension of the feature vector corresponding to each item of data is the same, and the dimension of the finally obtained feature vector is fixed.
And S205, inputting the fusion characteristic vector into a dangerous data identification model of the transport vehicle to obtain data labels respectively corresponding to each item of data.
And the transport vehicle danger data identification model is obtained by training according to the sample data and the corresponding data label. The sample data comprises temperature data, humidity data, pressure data, vibration amplitude data and outdoor temperature data, and data labels corresponding to the data respectively, wherein the data labels can be a normal label and a control label, the normal label represents that the corresponding data is normal, and the control label represents that the corresponding data is abnormal and needs to be controlled.
It should be noted that, after the fused feature vector is input into the transportation vehicle danger data identification model, the data labels corresponding to each item of data are obtained, and the confidence degrees corresponding to each data label are also included.
Step S206, determining whether each item of data respectively corresponds to a data tag or not, and the confidence of the control tag is greater than a preset value.
The preset value may be specifically set according to an actual requirement, for example, the preset value may be 60%, 70%, 80%, and the like, and the embodiment of the present invention is not particularly limited.
Step S207, if the data tags respectively correspond to the data tags and a control tag exists in the data tags, and the confidence of the control tag is greater than a preset value, outputting alarm information.
And the alarm information is data corresponding to the control label with the confidence coefficient larger than a preset value.
Step S208, if the data respectively correspond to the data tags and the control tags exist in the data tags and the confidence coefficient of the control tags is smaller than or equal to a preset value, acquiring historical data of the dangerous goods transport vehicle needing to be controlled.
In step S209, it is determined whether there is data corresponding to the control tag in the history data that needs to be controlled.
For example, if the tag corresponding to the temperature data output by the transportation vehicle danger data identification model is a control tag and the confidence of the control tag is smaller than a preset value, whether the temperature data exists in the historical data of the dangerous goods transportation vehicle needing to be controlled is searched, and if the temperature data exists, alarm information is output.
And step S210, if the historical data needing to be controlled has data corresponding to the control label, outputting alarm information.
The alarm information is data corresponding to the control label appearing in the historical data needing to be controlled.
For the embodiment of the invention, after the existence of the data needing to be controlled is preliminarily determined through the temperature data, the humidity data, the pressure data, the vibration amplitude data and the outdoor temperature data acquired at the last moment, the existence of the data needing to be controlled is determined again through the transport vehicle danger data identification model. Specifically, each item of data respectively corresponds to a control tag in the data tags, and the confidence coefficient of the control tag is greater than a preset value, alarm information is output; or data corresponding to the control label with the confidence coefficient smaller than or equal to the preset numerical value exists in the historical data needing to be controlled, and then alarm information is output. Therefore, the accuracy of determining the abnormal data (data required to be controlled) of the dangerous goods transport vehicle can be improved through the method and the device, and the driving safety of the dangerous goods transport vehicle is ensured.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In an embodiment, a monitoring device for a dangerous goods transport vehicle is provided, and the monitoring device for the dangerous goods transport vehicle corresponds to the monitoring method for the dangerous goods transport vehicle in the above embodiment one to one. As shown in fig. 3, the detailed description of each functional module of the monitoring device for the hazardous material transportation vehicle is as follows:
the acquiring module 31 is used for acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment;
the determining module 32 is configured to compare the temperature data, the humidity data, the pressure data, and the vibration amplitude data obtained at the current time with the temperature data, the humidity data, the pressure data, and the vibration amplitude data obtained at the previous time of the hazardous material transport vehicle, respectively, according to preset conditions, and determine whether each item of data needs to be controlled;
and an output module 33, configured to output alarm information if the determining module determines that the data that needs to be controlled exists, where the alarm information is the data that needs to be controlled.
In an optional embodiment, the determining module 32 is further configured to determine whether an absolute value of a difference between the temperature data acquired at the current time and the temperature data acquired at the previous time is greater than a first preset temperature value;
the obtaining module 31 is further configured to obtain outdoor temperature data if the determining module determines that the absolute value of the difference between the temperature data obtained at the current time and the temperature data obtained at the previous time is greater than the first preset temperature value;
the determining module 32 is further configured to determine whether the temperature data obtained at the current time is an absolute value of a difference between the outdoor temperature data and the outdoor temperature data, and is greater than a second preset temperature value;
the obtaining module 31 is further configured to determine that the temperature data obtained at the current time needs to be controlled if the determining module determines that the absolute value of the difference between the temperature data obtained at the current time and the outdoor temperature data is greater than the second preset temperature value.
Further, the apparatus further comprises: a conversion module 34 and a merging module 35;
the conversion module 34 is configured to, if the determination unit determines that there is data that needs to be controlled, convert temperature data, humidity data, pressure data, vibration amplitude data, and outdoor temperature data acquired at the current time into corresponding eigenvectors, respectively;
the merging module 35 is configured to merge all the feature vectors to obtain a fused feature vector;
the obtaining module 31 is further configured to input the fusion feature vector into a transportation vehicle dangerous data identification model, to obtain data tags corresponding to each item of data, where the transportation vehicle dangerous data identification model is obtained according to sample data and corresponding data tag training.
In an optional embodiment, the output module 33 is specifically configured to output alarm information if the data respectively corresponds to data tags that have control tags and the confidence of the control tags is greater than a preset value, where the alarm information is data corresponding to the control tags whose confidence is greater than the preset value.
In another alternative embodiment, the output module 33 is specifically configured to:
if the confidence of the control label is smaller than or equal to the preset value, acquiring historical data of the dangerous goods transport vehicle needing to be controlled;
determining whether data corresponding to the control tag exists in the historical data needing to be controlled;
and if the data corresponding to the control tag exists, outputting alarm information, wherein the alarm information is the data corresponding to the control tag appearing in the historical data needing to be controlled.
For specific limitations of the hazardous material transportation vehicle monitoring device, reference may be made to the above limitations of the hazardous material transportation vehicle monitoring method, which are not described in detail herein. The various modules in the above-described apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method of monitoring a hazardous material transport vehicle.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment;
according to preset conditions, comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively to determine whether each item of data needs to be controlled;
and outputting alarm information, wherein the alarm information is data needing to be controlled.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment;
according to preset conditions, comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively to determine whether each item of data needs to be controlled;
and outputting alarm information, wherein the alarm information is data needing to be controlled.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-mentioned functions.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. A method of monitoring a hazardous material transport vehicle, the method comprising:
acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment;
according to preset conditions, comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively to determine whether each item of data needs to be controlled;
and if the data needing to be controlled exist, outputting alarm information, wherein the alarm information is the data needing to be controlled.
2. The method of claim 1, further comprising:
determining whether the absolute value of the difference value between the temperature data acquired at the current moment and the temperature data acquired at the previous moment is greater than a first preset temperature value;
if the absolute value of the difference value between the temperature data acquired at the current moment and the temperature data acquired at the previous moment is greater than the first preset temperature value, acquiring outdoor temperature data;
determining whether the absolute value of the difference value between the temperature data acquired at the current moment and the outdoor temperature data is larger than a second preset temperature value or not;
and if the absolute value of the difference value between the temperature data acquired at the current moment and the outdoor temperature data is greater than the second preset temperature value, determining that the temperature data acquired at the current moment needs to be controlled.
3. The method according to claim 1 or 2, wherein if there is data to be controlled, the method further comprises:
respectively converting the temperature data, the humidity data and the pressure data acquired at the current moment, the vibration amplitude data and the outdoor temperature data into corresponding eigenvectors;
merging all the feature vectors to obtain a fused feature vector;
and inputting the fusion characteristic vector into a transport vehicle dangerous data identification model to obtain data labels and confidence degrees corresponding to each item of data, wherein the transport vehicle dangerous data identification model is obtained by training according to sample data and the corresponding data labels.
4. The method of claim 3, wherein outputting the alert information comprises:
and if the data respectively correspond to the data tags and a control tag exists in the data tags and the confidence coefficient of the control tag is greater than a preset value, outputting alarm information, wherein the alarm information is the data corresponding to the control tag with the confidence coefficient greater than the preset value.
5. The method of claim 4, wherein outputting the alert information comprises:
if the confidence of the control label is smaller than or equal to the preset value, acquiring historical data of the dangerous goods transport vehicle needing to be controlled;
determining whether data corresponding to the control tag exists in the historical data needing to be controlled;
and if the historical data needing to be controlled has data corresponding to the control label, outputting alarm information, wherein the alarm information is the data corresponding to the control label appearing in the historical data needing to be controlled.
6. A hazardous materials transport vehicle monitoring device, the device comprising:
the acquisition module is used for acquiring temperature data, humidity data, pressure data and vibration amplitude data of the dangerous goods transport vehicle at the current moment;
the determining module is used for comparing the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the current moment with the temperature data, the humidity data, the pressure data and the vibration amplitude data acquired at the last moment of the dangerous goods transport vehicle respectively according to preset conditions to determine whether each item of data needs to be controlled;
and the output module is used for outputting alarm information if the determining module determines that the data needing to be controlled exists, wherein the alarm information is the data needing to be controlled.
7. The apparatus of claim 6,
the determining module is further configured to determine whether an absolute value of a difference between the temperature data acquired at the current time and the temperature data acquired at the previous time is greater than a first preset temperature value;
the obtaining module is further configured to obtain outdoor temperature data if the determining module determines that the absolute value of the difference between the temperature data obtained at the current time and the temperature data obtained at the previous time is greater than the first preset temperature value;
the determining module is further configured to determine whether the temperature data obtained at the current time is an absolute value of a difference between the outdoor temperature data and a value greater than a second preset temperature value;
the obtaining module is further configured to determine that the temperature data obtained at the current time needs to be controlled if the determining module determines that the absolute value of the difference between the temperature data obtained at the current time and the outdoor temperature data is greater than the second preset temperature value.
8. The apparatus of claim 6 or 7, further comprising: a conversion module and a merging module;
the conversion module is used for respectively converting the temperature data, the humidity data and the pressure data acquired at the current moment, the vibration amplitude data and the outdoor temperature data into corresponding eigenvectors if the determining unit determines that the data needing to be controlled exists;
the merging module is used for merging all the feature vectors to obtain a fused feature vector;
the acquisition module is further configured to input the fusion feature vector into a transport vehicle dangerous data identification model to obtain data labels corresponding to each item of data, and the transport vehicle dangerous data identification model is obtained according to sample data and corresponding data label training.
9. A computer arrangement comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the hazardous-cargo vehicle monitoring method according to any of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium, in which a computer program is stored, which, when being executed by a processor, carries out the method for monitoring a hazardous-material transport vehicle according to any one of claims 1 to 5.
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