CN113504751A - Container monitoring method, device, equipment and readable storage medium - Google Patents
Container monitoring method, device, equipment and readable storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000012544 monitoring process Methods 0.000 title claims abstract description 37
- 230000002159 abnormal effect Effects 0.000 claims abstract description 73
- 238000012806 monitoring device Methods 0.000 claims abstract description 21
- 230000005856 abnormality Effects 0.000 claims abstract description 13
- 238000012856 packing Methods 0.000 description 9
- 230000008569 process Effects 0.000 description 8
- 238000012937 correction Methods 0.000 description 5
- 238000004891 communication Methods 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 235000013311 vegetables Nutrition 0.000 description 3
- 238000012935 Averaging Methods 0.000 description 2
- 230000010485 coping Effects 0.000 description 2
- 235000013399 edible fruits Nutrition 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 235000014102 seafood Nutrition 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0428—Safety, monitoring
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24024—Safety, surveillance
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Abstract
The invention provides a container monitoring method, a container monitoring device, container monitoring equipment and a readable storage medium. The method comprises the following steps: acquiring container data acquired by a sensor; judging whether the container is abnormal or not according to the container data; if the container is abnormal, sending alarm information corresponding to the abnormality to an instrument and a server so that the instrument can display the alarm information, and sending the alarm information to a target terminal by the server. According to the invention, the abnormal condition in the container can be displayed in real time according to the instrument and the target terminal, so that a manager can know the abnormal condition in the container in time, and the abnormal condition in the container can be solved in time.
Description
Technical Field
The invention relates to the field of data processing, in particular to a container monitoring method, a container monitoring device, container monitoring equipment and a readable storage medium.
Background
Commercial vehicles are commonly used for the transportation of goods, such as some fresh food products and the like. In the transportation, in order to guarantee the freshness of the fresh food, the internal environment of the container needs to be strictly controlled. Among the prior art, accomplish the monitoring to packing box internal environment through installing third party supervisory equipment additional to show and report to the police on third party's equipment, lead to driver and owner of goods can not know packing box internal environment state in real time.
Disclosure of Invention
The invention mainly aims to provide a container monitoring method, a device, equipment and a readable storage medium, and aims to solve the problem that in the prior art, a third-party monitoring device is additionally arranged to monitor the internal environment of a container, and display and alarm are carried out on the third-party monitoring device, so that a driver and a cargo owner cannot know the internal environment state of the container in real time.
In a first aspect, the present invention provides a container monitoring method, including:
acquiring container data acquired by a sensor;
judging whether the container is abnormal or not according to the container data;
if the container is abnormal, sending alarm information corresponding to the abnormality to an instrument and a server so that the instrument can display the alarm information, and sending the alarm information to a target terminal by the server.
Optionally, the container data includes an internal temperature of the container, and the step of determining whether the container is abnormal according to the container data includes:
detecting whether the temperature in the container is within a preset temperature range;
and if the temperature in the container is not in the preset temperature range, determining that the temperature of the container is abnormal.
Optionally, the container data includes humidity inside the container, and the step of determining whether the container is abnormal according to the container data includes:
detecting whether the humidity inside the container is within a preset humidity range;
and if the humidity in the container is not in the preset temperature range, determining that the humidity of the container is abnormal.
Optionally, the container data includes a door state of a container, and the step of determining whether the container is abnormal according to the container data includes:
detecting whether the state of the vehicle door is an opening state;
and if the door state is the opening state, determining that the door opening abnormality exists in the container.
Optionally, the container monitoring method includes:
and displaying the container data collected by the sensor on the instrument.
In a second aspect, the present invention also provides a container monitoring device, comprising:
the acquisition module is used for acquiring the container data acquired by the sensor;
the judging module is used for judging whether the container is abnormal or not according to the container data;
and the sending module is used for sending the alarm information corresponding to the abnormity to an instrument and a server if the container is abnormal so that the instrument can display the alarm information, and the server sends the alarm information to a target terminal.
Optionally, the container data includes a container internal temperature, and the determining module is configured to:
detecting whether the temperature in the container is within a preset temperature range;
and if the temperature in the container is not in the preset temperature range, determining that the temperature of the container is abnormal.
Optionally, the container data includes humidity inside the container, and the determining module is configured to:
detecting whether the humidity inside the container is within a preset humidity range;
and if the humidity in the container is not in the preset temperature range, determining that the humidity of the container is abnormal.
In a third aspect, the present invention further provides a container monitoring device, which includes a processor, a memory, and a container monitoring program stored on the memory and executable by the processor, wherein the container monitoring program, when executed by the processor, implements the steps of the container monitoring method as described above.
In a fourth aspect, the present invention further provides a readable storage medium, where the readable storage medium stores a container monitoring program, where the container monitoring program, when executed by a processor, implements the steps of the container monitoring method as described above.
In the invention, container data acquired by a sensor is acquired; judging whether the container is abnormal or not according to the container data; if the container is abnormal, sending alarm information corresponding to the abnormality to an instrument and a server so that the instrument can display the alarm information, and sending the alarm information to a target terminal by the server. According to the invention, the abnormal condition in the container can be displayed in real time according to the instrument and the target terminal, so that a manager can know the abnormal condition in the container in time, and the abnormal condition in the container can be solved in time.
Drawings
Fig. 1 is a hardware structure diagram of a container monitoring device according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of an embodiment of a container monitoring method of the present invention;
fig. 3 is a functional block diagram of an embodiment of the container monitoring device 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.
In a first aspect, an embodiment of the invention provides container monitoring equipment.
Referring to fig. 1, fig. 1 is a schematic diagram of a hardware structure of a container monitoring device according to an embodiment of the present invention. In this embodiment of the present invention, the monitoring device may include a processor 1001 (e.g., a Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used for realizing connection communication among the components; the user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard); the network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WI-FI interface, WI-FI interface); the memory 1005 may be a Random Access Memory (RAM) or a non-volatile memory (non-volatile memory), such as a magnetic disk memory, and the memory 1005 may optionally be a storage device independent of the processor 1001. Those skilled in the art will appreciate that the hardware configuration depicted in FIG. 1 is not intended to be limiting of the present invention, and may include more or less components than those shown, or some components in combination, or a different arrangement of components.
With continued reference to fig. 1, the memory 1005 of fig. 1, which is one type of computer storage medium, may include an operating system, a network communication module, a user interface module, and a cargo box monitoring program. The processor 1001 may call a container monitoring program stored in the memory 1005, and execute the container monitoring method provided by the embodiment of the present invention.
In a second aspect, an embodiment of the present invention provides a container monitoring method.
Referring to fig. 2, fig. 2 is a schematic flow chart of an embodiment of the container monitoring method of the present invention, and as shown in fig. 2, the container monitoring method includes:
step S10, container data collected by a sensor is obtained;
in this embodiment, when the packing box of vehicle transports fruit, need real-time temperature and humidity everywhere in real time monitoring packing box to guarantee that the fruit in the packing box is in under the environment of same temperature, humidity as far as possible. Therefore, real-time temperature and humidity data of all places of the container are collected through the temperature and humidity sensor, the door state of the container is collected through the door state switch, and the container state and container multi-path temperature and humidity data collected by the temperature and humidity sensor and the door state switch are acquired by the main body.
Further, in an embodiment, before acquiring the container data collected by the sensor, the method further includes:
and carrying out self-checking on the monitoring module in the container.
In this embodiment, before the packing box data of acquireing the sensor collection, should monitor module carry out a self-checking, ensure that temperature and humidity sensor, the door state switch quantity of access can normal operating in the packing box to the exactness of the packing box data that the guarantee acquireed, thereby guarantee the accuracy of abnormal judgement. Wherein, the monitoring module includes: temperature and humidity sensor, door state switch, cargo BOX controller, T-BOX, CAN and instrument.
Wherein, the concrete mode that carries out a self-checking to the monitoring module in the packing box does:
during scanning, scanning the accessed temperature and humidity sensor nodes and the door state switch nodes every other unit time, continuously monitoring for 5 times, receiving input signals of the temperature and humidity sensors and door state switch data in 5 detection times, and if receiving all the temperature and humidity sensor nodes, considering that the temperature and humidity sensor nodes are normally accessed; if the temperature and humidity sensor nodes of the receiving part are received, the temperature and humidity sensor access nodes are considered to have faults; if the door state switches of the cargo container are all closed, the door state switch node is considered to be normally accessed; and if the cargo container door state switch is in an open state, the access node of the door state switch is considered to have a fault. After the self-checking is finished, the number of the memory nodes starts to enter normal work, and meanwhile, in the self-checking process, fault information is sent to the instrument and the T-BOX through the CAN center to the nodes which are accessed to have faults. For example, when the container is not operated, there are 3 temperature sensors, 3 humidity sensors and 1 door state switch, that is, there are 7 accessed nodes, and 7 accessed nodes are scanned every 1S, and if the temperature and humidity sensors and the door state switch nodes received by scanning are respectively 3, 2 and 1, then the node accessed to the humidity sensor fails.
Further, in an embodiment, before performing a self-test on the monitoring module in the container, the method further includes:
the detected cargo box meets the conditions that the power supply of a temperature and humidity sensor and a door switch is normal, the doors of the cargo box are all closed, IGN is changed from OFF to ON in unit time and continuously lasts for three times, namely OFF to ON, ON to OFF, OFF to ON and ON to OFF, and after the operations are completed, a monitoring module in the cargo box starts to carry out self-checking once.
Further, in an embodiment, after the step of performing a self-test on the monitoring module in the cargo box, the method further includes:
for the nodes which are accessed and have faults, inputting appointed filling values in the corresponding door opening state and temperature and humidity message information;
after a new node connected with a temperature sensor node or a humidity sensor node or a door state switch is installed on a node with a fault in the self-checking process, the self-checking must be carried out again to ensure that the re-connected node can work normally, so that the accuracy of real-time data of goods transported by the container is ensured.
Step S20, judging whether the container is abnormal or not according to the container data;
in this embodiment, container data is obtained in step S10, where the container data includes: real-time temperature data at various positions in the container, real-time humidity data at various positions in the container and the state of a container door. The container controller transmits the information of the temperature and humidity sensor to the T-BOX by collecting the information of the temperature and humidity sensor, and the T-BOX receives the real-time data to judge whether the container is abnormal. For example, the container controller transmits the temperature real-time data on the acquisition sensor to the T-BOX, and then the T-BOX receives the temperature real-time data to judge whether the container is abnormal; the container controller transmits the humidity real-time data on the acquisition sensor to the T-BOX, and then the T-BOX receives the humidity real-time data to judge whether the container is abnormal or not; the container controller transmits the real-time data of the collected door state switch to the T-BOX, and then the T-BOX receives the real-time data of the door state switch to judge that the container is abnormal.
Step S30, if the container is abnormal, sending the alarm information corresponding to the abnormality to an instrument and a server for the instrument to display the alarm information, and sending the alarm information to a target terminal by the server.
In this embodiment, if it is determined through step S20 that the cargo box is abnormal, for example: the temperature in the cargo box is abnormal, the humidity in the cargo box is abnormal, or the door state of the cargo box is abnormal. And the T-BOX sends the alarm information corresponding to the abnormal type to the instrument, so that the alarm information sent out on the instrument displays real-time data on a screen of the instrument if no abnormality exists. For example, when the T-BOX judges that the humidity in the container is abnormal, the alarm information corresponding to the abnormal humidity is sent to the instrument, so that the alarm information corresponding to the abnormal humidity is sent out on the instrument; when the T-BOX judges that the door state of the container is abnormal, alarm information corresponding to the abnormal door state is sent to the instrument, and therefore alarm information corresponding to the abnormal humidity is sent out on the instrument; and when the T-BOX judges that the temperature in the cargo BOX is abnormal, the alarm information corresponding to the abnormal temperature is sent to the instrument, so that the alarm information corresponding to the abnormal temperature is sent out on the instrument. And if the container is not abnormal, displaying the acquired container data on the instrument.
And the T-BOX sends the alarm information corresponding to the abnormal type to the instrument and also sends the alarm information corresponding to the abnormal type to the server so that the server can send the received alarm information to the target terminal. Wherein the target terminal may be a terminal of a shipper or a driver. When the vehicle with the container stops and does not run, the driver is not in the cab, so that the driver cannot directly know the temperature, the humidity and the door opening state in the container through the instrument and cannot receive the alarm information prompted by the instrument, but the driver can monitor the temperature, the humidity and the door opening and closing information in the container in real time through the terminal, if the container is abnormal and the driver cannot timely monitor the temperature, the humidity and the door opening and closing information in the container, managers such as a cargo owner, a fleet and the like can also monitor the condition in the container in real time, and in the meantime, the driver is informed to take an alarm measure to avoid the abnormal problem of the cargo. For example, when a driver needs to get off to solve the problem due to special situations in the transportation process, the driver cannot see the real-time data displayed by the instrument screen and ignores the real-time data displayed by the terminal, at this time, motorcade personnel, a cargo owner and the like can monitor the data in real time through the terminal and know the abnormal situation in the cargo box, and inform the driver in time to take measures for coping with the abnormal situation, wherein the measures for coping with the abnormal situation comprise: through the self-checking of the container, the refrigeration temperature of the container is reduced, the humidifying device is started, the door of a vehicle is controlled to be closed and the like under the condition that the line of the container is not abnormal.
In the embodiment, container data acquired by a sensor is acquired; judging whether the container is abnormal or not according to the container data; if the container is abnormal, sending alarm information corresponding to the abnormality to an instrument and a server so that the instrument can display the alarm information, and sending the alarm information to a target terminal by the server. According to the invention, the abnormal condition in the container can be displayed in real time according to the instrument and the target terminal, so that a manager can know the abnormal condition in the container in time, and the abnormal condition in the container can be solved in time.
Further, in an embodiment, the container data includes a container internal temperature, and the step S20 includes:
detecting whether the temperature in the container is within a preset temperature range;
and if the temperature in the container is not in the preset temperature range, determining that the temperature of the container is abnormal.
In this embodiment, since the preset temperature ranges of the cargo BOX are required to be set by different users according to different requirements of the different users, the preset temperature ranges are set by operating an instrument menu interface, the operation authority can only be performed at a service station, and the T-BOX compares the temperature and humidity information at each position sent by the cargo BOX monitoring controller with the preset temperature ranges to detect whether the internal temperature of the cargo BOX is within the preset temperature ranges.
Wherein, the preset temperature range is set by operating the instrument menu interface.
In this embodiment, for the preset temperature range, the range may be specifically set on the meter. For example, the cargo BOX temperature is controlled to ensure the freshness of seafood due to a long transportation route, the preset temperature range is-15 ℃ to-10 ℃, in order to prevent alarm information from occurring at an instrument and a target terminal when the cargo BOX temperature is not in the preset temperature range, a manager does not control the temperature in the cargo BOX in time, so that the quality of the seafood is affected, a temperature range is defined on the preset temperature range, the lower limit is-15 ℃ to-14 ℃, the upper limit is-11 ℃ to-10 ℃, the temperature range is called a first temperature range, when the temperature is in the range of-14 ℃ to-11 ℃, the temperature range is called a safety temperature range, if the temperature in the cargo BOX is not in the safety temperature, the T-BOX judges that the temperature of the cargo BOX is abnormal, otherwise, and when the temperature is in the safe temperature range, the T-BOX judges that the temperature of the cargo BOX is normal. The temperature sensor real-time data can be obtained in a variety of ways. For example, the real-time data collected by the temperature sensors at each position and the average value are calculated, the preset in-container controller obtains the corresponding temperature by substituting the collected real-time temperature data into a temperature average value algorithm according to the temperature real-time data collected by the temperature sensors at 3 positions, namely n1 ═ 14 ℃, n2 ═ 12 ℃, and n3 ═ 13 ℃, wherein the temperature average value algorithm is as follows:
Nflat plate＝(n1+n2+n3)/3＝(-14℃+-12℃+-13℃)/3＝-13℃
Wherein N isFlat plateIs the final temperature value displayed on the meter and target terminal screen.
Further, in an embodiment, the container data includes humidity inside the container, and the step S20 includes:
detecting whether the humidity inside the container is within a preset humidity range;
and if the humidity in the container is not in the preset temperature range, determining that the humidity of the container is abnormal.
In this embodiment, because the requirements for the cargo BOX for the preset humidity ranges of different users are different, the preset humidity range needs to be set through an operation instrument menu interface, and the operation authority can only be performed at a service station, and the T-BOX receives humidity information of each position sent by the cargo BOX controller and compares the humidity information with the preset humidity range, so as to detect whether the humidity inside the cargo BOX is within the preset humidity range.
Wherein, the preset humidity range is set through operating the instrument menu interface.
In this embodiment, for the preset humidity range, a range may be specifically set on the meter. For example, the vegetable is transported in the container of the vehicle, because the transportation distance is long, the freshness of the vegetable can be ensured by controlling the humidity of the container, the humidity threshold value range in the container is preset to be 55% RH-65% RH, when the humidity of the container is not in the preset humidity range, the instrument and the target terminal generate alarm information, and a manager does not have time to control the humidity of the container, so that the humidity of the container is not in a preset humidity range within a period of time, the quality of vegetables is influenced, therefore, a humidity range is determined in the preset humidity range, the lower limit is 55% RH-57% RH, the upper limit is 63% RH-65% RH, which is called a first humidity range, when the humidity is within the range of 57% RH-63% RH, the humidity range is called as a safe humidity range, if the humidity is not within the safe humidity range, the humidity of the container is determined to be abnormal, otherwise, when the humidity is within the safe humidity range, the humidity of the container is determined to be normal. For example, the humidity sensor real-time data may be obtained in a variety of ways. And averaging the real-time data collected by the humidity sensors at all positions. Presetting temperature real-time data acquired by a humidity sensor at 4 positions by a container controller, wherein the temperature real-time data is m 1-57% RH, m 2-58% RH, m 3-60% RH, and m 4-62% RH, substituting the acquired humidity real-time data into a humidity average value algorithm to obtain corresponding humidity, wherein the humidity average value algorithm is as follows:
Mflat plate＝(m1+m2+m3+m4)/4＝(57％RH+58％RH+60％RH+62％RH)/4＝59.25％RH
Wherein M isFlat plateIs the final humidity value displayed on the meter and target terminal screen.
Further, in one embodiment, the container data includes a door status of the container, and the step S20 includes:
detecting whether the state of the vehicle door is an opening state;
and if the door state is the opening state, determining that the door opening abnormality exists in the container.
In this embodiment, the state of the door of the cargo box is detected. The container controller transmits the real-time data of the collected door state switch to the T-BOX, then the T-BOX receives the real-time data of the door state switch to judge whether the container is abnormal, and if the door of the container is in an opening state, whether the door is in an opening abnormality is judged.
Further, after step S10, the method further includes:
and displaying the container data collected by the sensor on the instrument.
In the embodiment, when the vehicle container runs, the container controller monitors real-time temperature and humidity information of each part of the container through the temperature and humidity sensor, sends the acquired states of each door of the container and multi-path temperature and humidity information of the container to the T-BOX through the CAN bus, and then the T-BOX feeds the information back to the instrument and displays real-time data in the container through the instrument screen. For example, the temperature and humidity monitored by a temperature and humidity sensor in the preset container are respectively 50 ℃ and 60% RH, the container controller transmits collected temperature and humidity real-time data to the T-BOX, and then the T-BOX feeds back the information to the instrument, so that the temperature and humidity modules corresponding to the screen of the instrument respectively display 50 ℃ and 60% RH.
Further, the container data collected by the temperature sensor has an error value. According to experiments, when the set temperature in the container is-10 ℃ or 20 ℃, the temperature monitored by the temperature sensor has an error, so that the temperature monitored by the temperature sensor is smaller than the set temperature, namely the error value X is-2 ℃, then the sum of the temperatures monitored by the temperature sensor is averaged, and the average value is added with the error value X to obtain a temperature correction value displayed by the instrument and the target terminal. For example, the preset temperature sensors monitor the temperatures at various places, namely n1 ═ 8 ℃, n2 ═ -7.5 ℃, and n3 ═ 8 ℃, respectively, and the temperature average algorithm is as follows:
Nflat plate＝(n1+n2+n3)/3＝(-8℃+-7.5℃+-8℃)/3＝-7.83℃
And (3) calculating the corresponding temperature average value, wherein the temperature correction numerical algorithm displayed by the instrument and the target terminal is as follows:
C＝Nflat plate+X＝-7.83℃+-2℃＝-9.83℃
Therefore, when the set temperature in the container is 0 ℃, the temperature monitored by the temperature sensor is smaller than the set temperature due to the error of the temperature monitored by the temperature sensor, namely the error value X is equal to-1 ℃, and then the sum of the temperatures monitored by the temperature sensor is averaged, and the average value is added with the error value X to obtain the temperature correction value displayed by the instrument and the target terminal. For example, the preset temperature sensors monitor the temperatures at various places, namely n1 ═ 1 ℃, n2 ═ 1 ℃, and n3 ═ 1 ℃, respectively, and the temperature averaging algorithm is as follows:
Nflat plate＝(n1+n2+n3)/3＝(1℃+1℃+1℃)/3＝1℃
And (3) calculating the corresponding temperature average value, wherein the temperature correction numerical algorithm displayed by the instrument and the target terminal is as follows:
C＝Nflat plate+X＝1℃+-1℃＝0℃
Wherein C is a temperature correction value displayed by the instrument and the target terminal.
The temperature sensor transmits the corrected temperature value to the instrument and the T-BOX through the container controller, the temperature corrected value is displayed on a screen of the instrument, meanwhile, the T-BOX transmits the temperature corrected value to the server, and the server receives the temperature corrected value from the T-BOX and transmits the temperature corrected value to the target terminal.
In a third aspect, the embodiment of the invention further provides a container monitoring device.
In an embodiment, referring to fig. 3, fig. 3 is a functional module schematic diagram of an embodiment of the container monitoring device of the present invention. As shown in fig. 3, the container monitoring device includes:
the acquisition module 10 is used for acquiring container data acquired by the sensor;
the judging module 20 is configured to judge whether the container is abnormal according to the container data;
the sending module 30 is configured to send alarm information corresponding to an abnormality to an instrument and a server if the container is abnormal, so that the instrument displays the alarm information, and the server sends the alarm information to a target terminal.
Further, in an embodiment, the container data includes a container internal temperature, and the determining module 20 is configured to:
detecting whether the temperature in the container is within a preset temperature range;
and if the temperature in the container is not in the preset temperature range, determining that the temperature of the container is abnormal.
Further, in an embodiment, the container data includes humidity inside the container, and the determining module 20 is configured to:
detecting whether the humidity inside the container is within a preset humidity range;
and if the humidity in the container is not in the preset temperature range, determining that the humidity of the container is abnormal.
Further, in an embodiment, the container data includes a door status of the container, and the determining module 20 is configured to:
detecting whether the state of the vehicle door is an opening state;
and if the door state is the opening state, determining that the door opening abnormality exists in the container.
Further, in an embodiment, the container monitoring device further includes a display module, configured to:
and displaying the container data collected by the sensor on the instrument.
The function implementation of each module in the container monitoring device corresponds to each step in the monitoring device method embodiment, and the function and implementation process are not described in detail herein.
In a fourth aspect, the embodiment of the present invention further provides a readable storage medium.
The readable storage medium of the invention stores a cargo box monitoring program, wherein the cargo box monitoring program realizes the steps of the cargo box monitoring method when being executed by a processor.
The method implemented when the container monitoring program is executed may refer to each embodiment of the container monitoring method of the present invention, and details thereof are not described herein.
It should 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 may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) as described above and includes instructions for causing a terminal 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 container monitoring method, the container monitoring method comprising:
acquiring container data acquired by a sensor;
judging whether the container is abnormal or not according to the container data;
if the container is abnormal, sending alarm information corresponding to the abnormality to an instrument and a server so that the instrument can display the alarm information, and sending the alarm information to a target terminal by the server.
2. A container monitoring method as defined in claim 1 wherein the container data includes a container interior temperature and the step of determining whether an anomaly exists with the container based on the container data includes:
detecting whether the temperature in the container is within a preset temperature range;
and if the temperature in the container is not in the preset temperature range, determining that the temperature of the container is abnormal.
3. A container monitoring method as defined in claim 1 wherein the container data includes container interior humidity and the step of determining whether an anomaly exists in the container based on the container data includes:
detecting whether the humidity inside the container is within a preset humidity range;
and if the humidity in the container is not in the preset temperature range, determining that the humidity of the container is abnormal.
4. A cargo box monitoring method as defined in claim 1 wherein the cargo box data includes cargo box door status and the step of determining whether an anomaly exists in the cargo box based on the cargo box data includes:
detecting whether the state of the vehicle door is an opening state;
and if the door state is the opening state, determining that the door opening abnormality exists in the container.
5. A container monitoring method as claimed in any one of claims 1 to 4 further comprising, after the step of obtaining container data collected by the sensor:
and displaying the container data collected by the sensor on the instrument.
6. A container monitoring device, the container monitoring device comprising:
the acquisition module is used for acquiring the container data acquired by the sensor;
the judging module is used for judging whether the container is abnormal or not according to the container data;
and the sending module is used for sending the alarm information corresponding to the abnormity to an instrument and a server if the container is abnormal so that the instrument can display the alarm information, and the server sends the alarm information to a target terminal.
7. A container monitoring device as claimed in claim 6 wherein the container data includes a container internal temperature and the determining module is configured to:
detecting whether the temperature in the container is within a preset temperature range;
and if the temperature in the container is not in the preset temperature range, determining that the temperature of the container is abnormal.
8. A container monitoring device as claimed in claim 6 wherein the container data includes container interior humidity and the determining module is configured to:
detecting whether the humidity inside the container is within a preset humidity range;
and if the humidity in the container is not in the preset temperature range, determining that the humidity of the container is abnormal.
9. A container monitoring device, comprising a processor, a memory, and a container monitoring program stored on the memory and executable by the processor, wherein the container monitoring program when executed by the processor implements the steps of the container monitoring method as claimed in any one of claims 1 to 5.
10. A readable storage medium having a container monitoring program stored thereon, wherein the container monitoring program when executed by a processor implements the steps of the container monitoring method as recited in any one of claims 1 to 5.
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| CN202110739046.5A CN113504751A (en) | 2021-06-30 | 2021-06-30 | Container monitoring method, device, equipment and readable storage medium |
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| CN202110739046.5A CN113504751A (en) | 2021-06-30 | 2021-06-30 | Container monitoring method, device, equipment and readable storage medium |
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