Gas sensor calibration method, gas sensor and gas monitoring system

Abstract

The application relates to the technical field of gas monitoring, and discloses a gas sensor calibration method, a gas sensor and a gas monitoring system. The method comprises the following steps: receiving detection information streams uploaded by a plurality of gas sensors; according to the deployment positions of the gas sensors and the space layout form of target containers in a current transportation task, the gas sensors are divided into different gas flow categories; considering the transportation speed information of a transportation vehicle, the gas flow diffusion proportion of each region to which each gas sensor belongs in each detection period is determined; and then according to the gas detection parameters in the current detection period and the gas parameter calibration value determined in the last detection period, the actual gas parameters in each detection period are calibrated. Therefore, the detection amount of the gas sensor is calibrated, the obtained actual gas parameters are closer to the real gas release amount, the accuracy of the identification of the hidden fire stage is improved, and the complex environmental factors of the containers are considered, so that the application has strong practicability and adaptability.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of gas monitoring, in particular to a gas sensor calibration method, a gas sensor and a gas monitoring system. BACKGROUND

[0002] In the cargo transportation industry, fire is a highly destructive safety hazard, especially the fire that occurs in the cargo box of a transport vehicle, which is particularly hidden and dangerous. The cargo transport vehicle travels at a high speed, and most of the transported goods are flammable. Once a fire occurs in the cargo box, the fire will spread rapidly and often cause great casualties and property losses. The hidden fire stage of the cargo box fire is extremely difficult to detect due to its characteristics. In this stage, smoke and fire are easily blocked by the piled goods, making it difficult for commonly used image sensors and smoke sensors to play an effective detection role. However, there is a unique high ratio of carbon monoxide concentration to carbon dioxide concentration and ratio change characteristics in the hidden fire stage, and the carbon monoxide concentration and carbon dioxide concentration produced per unit time in different stages of fire will change significantly, which provides an important basis for early identification and detection of the hidden fire stage.

[0003] However, in actual application, the situation in the cargo box of the cargo transport vehicle is complex. Due to the different positions, sizes and quantities of goods, the gas sensors arranged at different positions in the cargo box will be affected by various factors. The spatial layout of the cargo box will cause some areas to form dead zones or densely stacked goods areas, where gas is easy to accumulate and difficult to diffuse; while in open areas and areas near the cargo box gas flow ports, gas is more likely to diffuse. At the same time, the speed of the vehicle also affects the diffusion of gas. When the vehicle travels faster, a larger negative pressure is formed at the cargo box vent, and the gas is more likely to diffuse. Conversely, when the vehicle travels slowly, the gas is not easy to diffuse.

[0004] These factors make the gas concentration detected by the gas sensor at each position in the cargo box not the actual release concentration of the current gas, but the cumulative amount in the area. The gas sensor will mistakenly output the detected cumulative amount as the current release amount, which will seriously interfere with the judgment of the current fire stage, making it impossible to accurately and timely identify the hidden fire stage. Therefore, it is of great significance to calibrate the current detection amount of the gas sensor to obtain the actual release amount of the gas. SUMMARY

[0005] The present application provides a gas sensor calibration method, a gas sensor and a gas monitoring system, which aims to solve at least one of the above technical problems.

[0006] To achieve the above-mentioned purpose, the present application provides a gas sensor calibration method, comprising the following steps:

[0007] Acquire detection information streams uploaded by several gas sensors inside the target cargo container; wherein, the detection information streams include sensor identifiers and gas detection parameters corresponding to each sampling timestamp, the gas detection parameters including carbon monoxide concentration and carbon dioxide concentration;

[0008] Based on the sensor identifier, the deployment location of each gas sensor is determined. According to the deployment location and the cargo space layout of the target cargo container in the current transportation task, the gas sensors are divided into different gas flow categories.

[0009] Collect the transport speed information of the transport vehicle to which the target cargo box belongs, and use the transport speed information and the gas flow category of each gas sensor to match the gas flow diffusion ratio of each gas sensor;

[0010] Based on the gas detection parameters and gas flow diffusion ratio of each gas sensor at each sampling time stamp, determine the gas parameter calibration value of each gas sensor.

[0011] The gas parameter calibration value is sent to the corresponding gas sensor, which then calibrates each gas sensor based on the gas detection parameter and gas parameter calibration value corresponding to each sampling time stamp to obtain the actual gas parameter for each sampling time stamp.

[0012] Optionally, the step of obtaining the detection information stream uploaded by several gas sensors inside the target cargo container specifically includes:

[0013] Receive several detection information entries collected and uploaded by each gas sensor inside the target cargo container during each detection cycle, and extract the encoding information and collection time information from each detection information entry; wherein, the encoding information includes identification code and parameter code;

[0014] The identification code is converted into identification information to generate a sensor identifier for each piece of detection information;

[0015] The parameter codes are converted into numerical values, and the converted parameter values ​​are used in conjunction with the acquisition time information of the detection information to generate gas detection parameters for each detection information at each sampling timestamp.

[0016] Optionally, the step of determining the deployment location of each gas sensor based on the sensor identifier specifically includes:

[0017] The system retrieves a pre-stored list of gas sensor deployment data; wherein the list of gas sensor deployment data contains deployment location information recorded for each gas sensor during deployment.

[0018] Based on the sensor identifier, query the deployment location of each gas sensor within the target cargo container from the gas sensor deployment data list.

[0019] Optionally, based on the deployment location and the cargo space layout of the target cargo container in the current transportation task, the steps of classifying several gas sensors into different gas flow categories specifically include:

[0020] Obtain the cargo space layout information of the target cargo box entered by the transportation management personnel, and extract the cargo space usage status of each standard cargo location in the cargo space layout information;

[0021] Based on the location of the gas vents of the target cargo container, the location of each standard cargo position, and the cargo occupancy status, construct the cargo space layout of the target cargo container in the current transportation task.

[0022] Based on the deployment location of each gas sensor and the spatial layout of the target cargo container in the current transportation task, and according to the number of stacked goods and the distribution of gas flow ports within the preset diffusion influence area for each gas sensor, several gas sensors are divided into different gas flow categories.

[0023] Optionally, the gas flow category includes a high gas flow category, a medium gas flow category, and a low gas flow category;

[0024] The high gas flow category is configured such that there is at least one gas flow outlet or the number of goods stacked is less than a first preset value within the preset diffusion influence area;

[0025] The gas flow category is configured such that there are no gas flow outlets within the preset diffusion influence area and the number of stacked goods is between a first preset value and a second preset value.

[0026] The low gas flow category is configured such that there are no gas flow outlets within the preset diffusion influence area and the number of goods stacked is higher than a second preset value.

[0027] Optionally, the step of collecting the transport speed information of the transport vehicle to which the target cargo container belongs, and using the transport speed information and the gas flow category of each gas sensor to match the gas flow diffusion ratio of each gas sensor, specifically includes:

[0028] Collect the transport speed of the transport vehicle to which the target cargo container belongs at each sampling time stamp, and establish the mapping relationship between the transport speed at each sampling time stamp and the gas detection parameters;

[0029] Query the pre-stored data table of gas flow diffusion ratio corresponding to different gas flow categories at different transport speeds; wherein, the data table of gas flow diffusion ratio records the gas flow diffusion ratio calculated when gas sensors are set at different gas flow categories inside the cargo box under negative pressure conditions corresponding to different transport speeds, with the same type of cargo box deployed outside the cargo box;

[0030] Using the transport speed information and the gas flow category of each gas sensor, the gas flow diffusion ratio of each gas sensor is matched in the gas flow diffusion ratio data table.

[0031] Optionally, the step of determining the gas parameter calibration value for each gas sensor based on the gas detection parameters and gas flow diffusion ratio at each sampling time stamp of each gas sensor specifically includes:

[0032] Using the gas detection parameters and gas flow diffusion ratio at each sampling timestamp as the average gas detection parameters and periodic gas flow diffusion ratio for the corresponding detection period, the gas flow diffusion concentration for each detection period is calculated; the expression for the gas flow diffusion concentration for each detection period is as follows:

[0033] ;

[0034] In the formula, The gas diffusion concentration for each detection cycle. The gas diffusion concentration for each detection cycle. Average gas detection parameters for each detection cycle;

[0035] Based on the sequential order of several detection cycles, the gas calibration concentration corresponding to the gas flow diffusion amount of each gas sensor in the previous detection cycle is used as the gas parameter calibration value of that gas sensor in the next detection cycle.

[0036] Optionally, the step of sending the gas parameter calibration value to the corresponding gas sensor, and driving each gas sensor to calibrate and obtain the actual gas parameters for each sampling time stamp based on the gas detection parameters and gas parameter calibration value corresponding to each sampling time stamp, specifically includes:

[0037] The gas parameter calibration value of each gas sensor in the current detection period is sent to the corresponding gas sensor, which drives each gas sensor to calibrate and obtain the actual gas parameters at each sampling time point based on the average gas detection parameters and gas parameter calibration values ​​of the detection period corresponding to each sampling time point.

[0038] The expression for the actual gas parameters at each sampling timestamp is as follows:

[0039] ;

[0040] In the formula, T is each sampling timestamp. The actual gas parameters for each sampling timestamp T, Gas detection parameters for each sampling timestamp T, The actual gas parameters for each sampling timestamp T.

[0041] Furthermore, to achieve the above objectives, the present invention also provides a gas sensor, comprising:

[0042] The gas detection module, including a carbon monoxide concentration detection unit and a carbon dioxide concentration detection unit, is configured to collect the carbon monoxide concentration and carbon dioxide concentration in the deployment scenario.

[0043] The information encoding module is configured to encode the gas detection parameters, acquisition time information and sensor identifier of each set of carbon monoxide and carbon dioxide concentrations collected by the gas detection module.

[0044] The information transmission module is configured to transmit the detection information encoded by the information encoding module to the vehicle calibration terminal, thereby driving the vehicle calibration terminal to feed back the gas parameter calibration value based on the detection information.

[0045] The gas calibration module is configured to calibrate and obtain the actual gas parameters for each sampling time stamp based on the gas detection parameters and gas parameter calibration values ​​corresponding to each sampling time stamp.

[0046] Furthermore, to achieve the above objectives, the present invention also provides a gas monitoring system, comprising:

[0047] The vehicle-mounted calibration terminal, several gas sensors as described above, and a gas monitoring terminal that connects the several gas sensors to the vehicle-mounted calibration terminal;

[0048] The vehicle-mounted calibration terminal is configured to perform the gas sensor calibration method described in any of the above descriptions.

[0049] The gas monitoring terminal is configured to perform fire monitoring of the target cargo box based on the actual gas parameters transmitted by several gas sensors and the deployment positions of several gas sensors within the target cargo box transmitted by the vehicle-mounted calibration terminal.

[0050] The beneficial effects of this invention are as follows: It proposes a gas sensor calibration method, a gas sensor, and a gas monitoring system. By receiving detection information streams uploaded by several gas sensors, and based on the deployment location of each gas sensor and the spatial layout of the target cargo container in the current transportation task, the gas sensors are divided into different gas flow categories. Considering the transportation speed information of the transport vehicle, the gas flow diffusion ratio of the area to which each gas sensor belongs in each detection cycle is determined. Then, based on the gas detection parameters of the current detection cycle and the gas parameter calibration values ​​determined in the previous detection cycle, the actual gas parameters for each detection cycle are calibrated. Thus, this invention, by calibrating the detection quantity of the gas sensors, makes the obtained actual gas parameters closer to the actual gas release, improves the accuracy of identifying the smoldering stage, and takes into account the complex environmental factors of the cargo container, exhibiting strong practicality and adaptability. Attached Figure Description

[0051] Figure 1 This is a schematic flowchart of the gas sensor calibration method according to an embodiment of the present invention;

[0052] Figure 2 This is a schematic diagram illustrating the principle of the gas sensor according to an embodiment of the present invention;

[0053] Figure 3 This is a schematic diagram of the gas monitoring system according to an embodiment of the present invention.

[0054] Explanation of reference numerals in the attached figures:

[0055] 10 - Gas detection module; 110 - Carbon monoxide concentration detection unit; 120 - Carbon dioxide concentration detection unit; 20 - Information encoding module; 30 - Information transmission module; 40 - Gas calibration module;

[0056] 100 - Vehicle-mounted calibration terminal; 200 - Gas sensor; 300 - Gas monitoring terminal. Detailed Implementation

[0057] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0058] This invention provides a gas sensor calibration method, referring to... Figure 1 , Figure 1 This is a schematic flowchart of the gas sensor calibration method according to an embodiment of the present invention.

[0059] In this embodiment, a gas sensor calibration method includes the following steps:

[0060] S1: Obtain the detection information stream uploaded by several gas sensors inside the target cargo box; wherein, the detection information stream includes sensor identifiers and gas detection parameters corresponding to each sampling timestamp, and the gas detection parameters include carbon monoxide concentration and carbon dioxide concentration;

[0061] S2: Based on the sensor identifier, determine the deployment location of each gas sensor, and according to the deployment location and the cargo space layout of the target cargo container in the current transportation task, divide the gas sensors into different gas flow categories.

[0062] S3: Collect the transportation speed information of the transport vehicle to which the target cargo box belongs, and use the transportation speed information and the gas flow category of each gas sensor to match the gas flow diffusion ratio of each gas sensor;

[0063] S4: Determine the gas parameter calibration value for each gas sensor based on the gas detection parameters and gas flow diffusion ratio of each gas sensor at each sampling time stamp;

[0064] S5: Send the gas parameter calibration value to the corresponding gas sensor, and drive each gas sensor to calibrate and obtain the actual gas parameters for each sampling time stamp based on the gas detection parameters and gas parameter calibration value corresponding to each sampling time stamp.

[0065] It should be noted that the situation inside the cargo box of a freight vehicle is quite complex in practical applications. Due to variations in cargo placement, size, and quantity, gas sensors located at different positions within the cargo box are affected by various factors. The spatial layout of the cargo box can create dead zones or areas with densely stacked cargo, where gas tends to accumulate and is difficult to diffuse; while in open areas and near the cargo box's gas vents, gas diffuses more easily. Furthermore, vehicle speed also affects gas diffusion; higher speeds create greater negative pressure at the cargo box vents, facilitating gas diffusion, while lower speeds hinder it. These factors mean that the gas concentration detected by the gas sensors at each location within the cargo box is not the actual current release concentration, but rather the cumulative amount within a certain area. The gas sensors may mistakenly output the detected cumulative amount as the current release, which severely interferes with the assessment of the current fire stage, making it impossible to accurately and promptly identify the smoldering fire stage.

[0066] To address the aforementioned issues, this embodiment receives detection information streams from multiple gas sensors. Based on the deployment location of each gas sensor and the spatial layout of the target cargo container in the current transportation task, the gas sensors are categorized into different gas flow types. Taking into account the transport vehicle's speed information, the gas flow and diffusion ratio of each gas sensor's area in each detection cycle is determined. Then, based on the gas detection parameters of the current detection cycle and the calibration values ​​of the gas parameters determined in the previous detection cycle, the actual gas parameters for each detection cycle are calibrated. Therefore, this invention, by calibrating the detection quantities of the gas sensors, makes the obtained actual gas parameters closer to the true gas release, improving the accuracy of identifying the smoldering stage. Considering the complex environmental factors of the cargo container, it possesses strong practicality and adaptability.

[0067] In a preferred embodiment, the step of acquiring the detection information stream uploaded by several gas sensors inside the target cargo container specifically includes:

[0068] S11: Receive several detection information entries collected and uploaded by each gas sensor in the target cargo container during each detection cycle, and extract the encoding information and collection time information from each detection information entry; wherein, the encoding information includes identification code and parameter code;

[0069] S12: Convert the identification code into identification information to generate a sensor identifier for each piece of detection information;

[0070] S13: Convert the parameter code into a parameter value, and use the converted parameter value and the collection time information of the detection information to generate the gas detection parameters for each detection information at each sampling timestamp.

[0071] In this embodiment, a sensor identifier for displacement is assigned to each gas sensor. This identifier can be a string of numbers, letters, or other specific codes to uniquely distinguish each gas sensor. Each gas sensor is configured to detect at least gas parameters such as carbon monoxide and carbon dioxide concentrations and to record the sampling timestamp for each detection. At each sampling timestamp, each gas sensor sends detection information to the vehicle calibration terminal, including the identifier code corresponding to the sensor identifier, the parameter value, and the parameter code corresponding to the acquisition time information. The vehicle calibration terminal can extract the sensor identifier and the gas detection parameters for each sampling timestamp from the received detection information stream.

[0072] In addition, a stable data transmission link is established between the gas sensor and the vehicle-mounted calibration terminal, which can be achieved wirelessly or via wired transmission. The gas sensor detects gas parameters in the cargo box at a set sampling frequency (e.g., once every 10 seconds) and uploads the detection information stream, including its own sensor identifier, sampling timestamp, and corresponding gas detection parameters such as carbon monoxide and carbon dioxide concentrations, to the vehicle-mounted calibration terminal in real time. Simultaneously, the vehicle-mounted calibration terminal is configured with data receiving and storage capabilities to ensure the complete and accurate reception and storage of the detection information stream uploaded by the gas sensor.

[0073] In a preferred embodiment, the step of determining the deployment location of each gas sensor based on the sensor identifier specifically includes:

[0074] S21: Call the pre-stored gas sensor deployment data list; wherein, the gas sensor deployment data list contains the deployment location information recorded by each gas sensor during deployment;

[0075] S22: Based on the sensor identifier, query the deployment location of each gas sensor in the target cargo container from the gas sensor deployment data list.

[0076] Based on this, and according to the deployment location and the cargo space layout of the target cargo container in the current transportation task, the steps of classifying several gas sensors into different gas flow categories include:

[0077] S23: Obtain the cargo space layout information of the target cargo box entered by the transportation management personnel, and extract the cargo space usage status of each standard cargo location in the cargo space layout information;

[0078] S24: Based on the location of the gas vent of the target cargo container and the location of each standard cargo position and the cargo occupancy status, construct the cargo space layout of the target cargo container in the current transportation task.

[0079] S25: Based on the deployment location of each gas sensor and the spatial layout of the target cargo container in the current transportation task, and according to the number of stacked goods and the distribution of gas flow ports in the preset diffusion influence area for each gas sensor, several gas sensors are divided into different gas flow categories.

[0080] In this embodiment, based on the sensor identifier, the deployment location of each gas sensor in the target cargo box (the three-dimensional coordinates of the gas sensor in the target cargo box) can be extracted from the gas sensor deployment data list of the vehicle calibration terminal. Then, based on the cargo box space layout information input by the transportation management personnel, the gas flow port opened in the target cargo box and the location of each standard cargo position and the cargo occupancy status are extracted. By calculating the number of cargo stacks and the distribution of gas flow ports in the preset diffusion influence area for each gas sensor, the gas flow categories of several gas sensors in the target cargo box are classified.

[0081] In practical applications, if the sensor is deployed in a dead zone (i.e., an area completely surrounded by goods with almost no airflow) or a densely stacked area (where the gaps between goods are extremely small, severely obstructing airflow), it is classified as a low-flow area. If the sensor is deployed in an open area (where there are fewer surrounding goods, the space is relatively open, and airflow is relatively smooth), it is classified as a medium-flow area. If the sensor is deployed near the airflow vents of the cargo container (such as near the container's pre-installed ventilation openings, where air can easily exchange with the outside), it is classified as a high-flow area.

[0082] For example, the gas flow category includes a high gas flow category, a medium gas flow category, and a low gas flow category; wherein, the high gas flow category is configured such that there is at least one gas flow outlet within a preset diffusion influence area or the number of goods stacked is less than a first preset value; the medium gas flow category is configured such that there is no gas flow outlet within a preset diffusion influence area and the number of goods stacked is between the first preset value and a second preset value; the low gas flow category is configured such that there is no gas flow outlet within a preset diffusion influence area and the number of goods stacked is greater than the second preset value.

[0083] In a preferred embodiment, the step of collecting the transport speed information of the transport vehicle to which the target cargo box belongs, and matching the gas flow diffusion ratio of each gas sensor using the transport speed information and the gas flow category of each gas sensor, specifically includes:

[0084] S31: Collect the transport speed of the transport vehicle to which the target cargo box belongs at each sampling time stamp, and establish the mapping relationship between the transport speed at each sampling time stamp and the gas detection parameters;

[0085] S32: Query the pre-stored data table of gas flow diffusion ratio corresponding to different gas flow categories at different transport speeds; wherein, the data table of gas flow diffusion ratio records the gas flow diffusion ratio calculated when gas sensors are set at different gas flow category positions inside the cargo box under negative pressure conditions corresponding to different transport speeds for the same type of cargo box.

[0086] S33: Using the transport speed information and the gas flow category of each gas sensor, match the gas flow diffusion ratio of each gas sensor in the gas flow diffusion ratio data table.

[0087] In this embodiment, the real-time transport speed of the vehicle to which the target cargo box belongs can be obtained through the vehicle interface or a vehicle speed sensor, and the vehicle speed information is transmitted to the on-board calibration terminal in real time. Simultaneously, the on-board calibration terminal pre-stores a data table of gas diffusion ratios corresponding to different gas flow categories at different transport speeds. This data table was obtained through numerous experiments. During the experiments, gas sensors are placed at different locations within a simulated cargo box of the same specifications as the target cargo box to simulate negative pressure environments at different transport speeds. The diffusion of gas within a unit of time (which can be set to the detection cycle length in this embodiment) is detected, and the corresponding gas diffusion ratio is calculated, thereby establishing the data table.

[0088] It should be noted that in this embodiment, the gas flow diffusion ratio refers to the percentage decrease in gas concentration per unit time, used to characterize the gas diffusion rate under different cargo box spatial layouts and different external negative pressure environments. For example, when the transport speed is 60 km / h, the gas flow diffusion ratio is 0.3 for low-flow sensors, 0.6 for medium-flow sensors, and 0.9 for high-flow sensors; when the transport speed is 30 km / h, it is 0.1 for low-flow sensors, 0.3 for medium-flow sensors, and 0.5 for high-flow sensors, etc. Therefore, the on-board calibration terminal matches the corresponding gas flow diffusion ratio from the data table based on the collected real-time transport speed and the gas flow category of each gas sensor.

[0089] In a preferred embodiment, the step of determining the gas parameter calibration value for each gas sensor based on the gas detection parameters and gas flow diffusion ratio at each sampling time point of each gas sensor specifically includes:

[0090] S41: Using the gas detection parameters and gas flow diffusion ratio at each sampling timestamp as the average gas detection parameters and periodic gas flow diffusion ratio for the corresponding detection period, calculate the gas flow diffusion concentration for each detection period; wherein, the expression for the gas flow diffusion concentration for each detection period is as follows:

[0091] ;

[0092] In the formula, The gas diffusion concentration for each detection cycle. The gas diffusion concentration for each detection cycle. Average gas detection parameters for each detection cycle;

[0093] S42: According to the order of several detection cycles from front to back, the gas calibration concentration corresponding to the gas flow diffusion of each gas sensor in the previous detection cycle is used as the gas parameter calibration value of the gas sensor in the next detection cycle.

[0094] Based on this, the gas parameter calibration value is sent to the corresponding gas sensor, driving each gas sensor to calibrate and obtain the actual gas parameters for each sampling time stamp based on the gas detection parameters and gas parameter calibration value corresponding to each sampling time stamp. Specifically, this includes:

[0095] S51: Send the gas parameter calibration value of each gas sensor in the current detection cycle to the corresponding gas sensor, and drive each gas sensor to calibrate and obtain the actual gas parameters at each sampling time point based on the average gas detection parameters and gas parameter calibration values ​​of the detection cycle corresponding to each sampling time point.

[0096] The expression for the actual gas parameters at each sampling timestamp is as follows:

[0097] ;

[0098] In the formula, T is each sampling timestamp. The actual gas parameters for each sampling timestamp T, Gas detection parameters for each sampling timestamp T, The actual gas parameters for each sampling timestamp T.

[0099] In this embodiment, by utilizing the transport vehicle's speed information and the gas flow category of the gas sensors, the gas flow diffusion ratio of each gas sensor's area in each detection cycle is determined. Based on this ratio, the gas parameter calibration value for the next detection cycle can be calculated. Furthermore, the actual gas parameters for each detection cycle are calibrated based on the gas detection parameters of the current cycle and the calibration value determined in the previous cycle. Thus, by calibrating the gas sensor's detection quantity, the obtained actual gas parameters are made closer to the true gas release, improving the accuracy of identifying the smoldering stage. Considering the complex environmental factors of the cargo container, this method possesses strong practicality and adaptability.

[0100] Reference Figure 2 , Figure 2 This is a schematic diagram of the principle of the gas sensor according to an embodiment of the present invention.

[0101] like Figure 2 As shown, the gas sensor proposed in this embodiment of the invention includes:

[0102] Gas detection module 10, including carbon monoxide concentration detection unit 110 and carbon dioxide concentration detection unit 120, is configured to collect carbon monoxide concentration and carbon dioxide concentration in the deployment scenario.

[0103] The information encoding module 20 is configured to encode the gas detection parameters, acquisition time information and sensor identifier of each set of carbon monoxide concentration and carbon dioxide concentration collected by the gas detection module.

[0104] The information transmission module 30 is configured to transmit the detection information encoded by the information encoding module to the vehicle calibration terminal, thereby driving the vehicle calibration terminal to feed back the gas parameter calibration value based on the detection information.

[0105] The gas calibration module 40 is configured to calibrate and obtain the actual gas parameters for each sampling time stamp based on the gas detection parameters and gas parameter calibration values ​​corresponding to each sampling time stamp.

[0106] In this embodiment, the gas sensor collects carbon monoxide and carbon dioxide concentrations in the deployment scenario. Through information encoding, it sends the gas detection parameters containing each set of carbon monoxide and carbon dioxide concentrations, the collection time information, and the sensor identifier to the vehicle calibration terminal. After receiving the gas parameter calibration value fed back by the vehicle calibration terminal, it calibrates and obtains the actual gas parameters for each sampling timestamp and stores them accordingly. This allows the gas monitoring terminal to obtain the calibrated gas detection data and determine whether a fire has occurred in the cargo box and the stage of the fire based on the actual ratio change of carbon monoxide and carbon dioxide concentrations.

[0107] Other embodiments or specific implementations of the gas sensor of the present invention can be found in the embodiments of the above-described gas sensor calibration methods, and will not be repeated here.

[0108] Reference Figure 3 , Figure 3 This is a schematic diagram of the gas monitoring system according to an embodiment of the present invention.

[0109] The vehicle-mounted calibration terminal 100, a plurality of gas sensors 200 as described above, and a gas monitoring terminal 300 connecting the plurality of gas sensors 200 and the vehicle-mounted calibration terminal 100.

[0110] The vehicle-mounted calibration terminal 100 is configured to perform the gas sensor calibration method described in any of the above descriptions.

[0111] The gas monitoring terminal 300 is configured to perform fire monitoring of the target cargo box based on the actual gas parameters transmitted by several gas sensors 200 and the deployment positions of several gas sensors 200 in the target cargo box transmitted by the vehicle calibration terminal 100.

[0112] In this embodiment, the gas monitoring terminal receives actual gas parameters transmitted from several gas sensors and the deployment positions of several gas sensors within the target cargo box transmitted from the vehicle-mounted calibration terminal. This enables fire monitoring of the target cargo box. By calibrating the gas sensor readings, the influence of factors such as the cargo box's spatial layout, gas outlet locations, and vehicle speed on gas detection is eliminated. This makes the obtained actual gas parameters closer to the true gas release, improving the accuracy of identifying the smoldering stage. Accurate actual gas parameters allow the relevant systems to detect the characteristics of the smoldering stage more promptly, issuing early fire warnings and buying more time for firefighting measures, thus reducing fire damage. Furthermore, considering the complex environmental factors within the cargo box, dynamic calibration can be performed based on different gas flow categories and transport speeds. This makes it suitable for cargo boxes with various loading conditions and driving states, demonstrating strong practicality and adaptability.

[0113] Other embodiments or specific implementations of the gas monitoring system of the present invention can be found in the above-described gas sensor calibration methods and gas sensor embodiments, and will not be repeated here.

[0114] It is understood that in the description of this specification, references to terms such as "one embodiment," "another embodiment," "other embodiments," or "first embodiment to Nth embodiment," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0115] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or system. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or system that includes that element.

[0116] The above are merely preferred embodiments of the present invention and do not limit the scope of the patent. Any equivalent structural or procedural transformations made based on the description and drawings of the present invention, or direct or indirect applications in other related technical fields, are similarly included within the scope of patent protection of the present invention.

Claims

1. A gas sensor calibration method, characterized in that, Includes the following steps: Acquire detection information streams uploaded by several gas sensors inside the target cargo container; wherein, the detection information streams include sensor identifiers and gas detection parameters corresponding to each sampling timestamp, the gas detection parameters including carbon monoxide concentration and carbon dioxide concentration; Based on the sensor identifier, the deployment location of each gas sensor is determined. According to the deployment location and the cargo space layout of the target cargo container in the current transportation task, the gas sensors are divided into different gas flow categories. Specifically, based on the deployment location and the cargo space layout of the target cargo box in the current transportation task, several gas sensors are divided into different gas flow categories, including: obtaining the cargo space layout information of the target cargo box entered by the transportation management personnel, and extracting the cargo space usage status of each standard cargo location in the cargo space layout information. Based on the location of the gas vents of the target cargo container, the location of each standard cargo position, and the cargo occupancy status, construct the cargo space layout of the target cargo container in the current transportation task. Based on the deployment location of each gas sensor and the spatial layout of the target cargo container in the current transportation task, and according to the number of stacked goods and the distribution of gas flow ports in the preset diffusion influence area for each gas sensor, several gas sensors are divided into different gas flow categories. Collect the transport speed information of the transport vehicle to which the target cargo box belongs, and use the transport speed information and the gas flow category of each gas sensor to match the gas flow diffusion ratio of each gas sensor; Based on the gas detection parameters and gas flow diffusion ratio of each gas sensor at each sampling time stamp, determine the gas parameter calibration value of each gas sensor. The gas parameter calibration value is sent to the corresponding gas sensor, which then calibrates each gas sensor based on the gas detection parameter and gas parameter calibration value corresponding to each sampling time stamp to obtain the actual gas parameter for each sampling time stamp.

2. The gas sensor calibration method as described in claim 1, characterized in that, The steps for obtaining the detection information stream uploaded by several gas sensors inside the target cargo container specifically include: Receive several detection information entries collected and uploaded by each gas sensor inside the target cargo container during each detection cycle, and extract the encoding information and collection time information from each detection information entry; wherein, the encoding information includes identification code and parameter code; The identification code is converted into identification information to generate a sensor identifier for each piece of detection information; The parameter codes are converted into numerical values, and the converted parameter values ​​are used in conjunction with the acquisition time information of the detection information to generate gas detection parameters for each detection information at each sampling timestamp.

3. The gas sensor calibration method as described in claim 1, characterized in that, The steps for determining the deployment location of each gas sensor based on the sensor identifier specifically include: The system retrieves a pre-stored list of gas sensor deployment data; wherein the list of gas sensor deployment data contains deployment location information recorded for each gas sensor during deployment. Based on the sensor identifier, query the deployment location of each gas sensor within the target cargo container from the gas sensor deployment data list.

4. The gas sensor calibration method as described in claim 1, characterized in that, The gas flow categories include high gas flow category, medium gas flow category and low gas flow category; The high gas flow category is configured such that there is at least one gas flow outlet or the number of goods stacked is less than a first preset value within the preset diffusion influence area; The gas flow category is configured such that there are no gas flow outlets within the preset diffusion influence area and the number of stacked goods is between a first preset value and a second preset value. The low gas flow category is configured such that there are no gas flow outlets within the preset diffusion influence area and the number of goods stacked is higher than a second preset value.

5. The gas sensor calibration method as described in claim 1, characterized in that, The process of collecting the transport speed information of the vehicle to which the target cargo container belongs, and matching the gas diffusion ratio of each gas sensor using the transport speed information and the gas flow category of each gas sensor, specifically includes: Collect the transport speed of the transport vehicle to which the target cargo container belongs at each sampling timestamp, and establish a mapping relationship between the transport speed at each sampling timestamp and the gas flow category; Query the pre-stored data table of gas flow diffusion ratio corresponding to different gas flow categories at different transport speeds; wherein, the data table of gas flow diffusion ratio records the gas flow diffusion ratio calculated when gas sensors are set at different gas flow categories inside the cargo box under negative pressure conditions corresponding to different transport speeds, with the same type of cargo box deployed outside the cargo box; Using the transport speed information and the gas flow category of each gas sensor, the gas flow diffusion ratio of each gas sensor is matched in the gas flow diffusion ratio data table.

6. The gas sensor calibration method as described in claim 1, characterized in that, The steps for determining the gas parameter calibration value for each gas sensor based on the gas detection parameters and gas flow diffusion ratio at each sampling time stamp of each gas sensor include: Using the gas detection parameters and gas flow diffusion ratio at each sampling timestamp as the average gas detection parameters and periodic gas flow diffusion ratio for the corresponding detection period, the gas flow diffusion concentration for each detection period is calculated; the expression for the gas flow diffusion concentration for each detection period is as follows: ； In the formula, The gas diffusion concentration for each detection cycle. The diffusion ratio for each detection cycle, Average gas detection parameters for each detection cycle; Based on the sequential order of several detection cycles, the gas calibration concentration corresponding to the gas flow diffusion amount of each gas sensor in the previous detection cycle is used as the gas parameter calibration value of that gas sensor in the next detection cycle.

7. The gas sensor calibration method as described in claim 6, characterized in that, The process of sending the gas parameter calibration value to the corresponding gas sensor, and driving each gas sensor to calibrate and obtain the actual gas parameters for each sampling time stamp based on the gas detection parameters and gas parameter calibration value corresponding to each sampling time stamp, specifically includes: The gas parameter calibration value of each gas sensor in the current detection period is sent to the corresponding gas sensor, which drives each gas sensor to calibrate and obtain the actual gas parameters at each sampling time point based on the average gas detection parameters and gas parameter calibration values ​​of the detection period corresponding to each sampling time point. The expression for the actual gas parameters at each sampling timestamp is as follows: ； In the formula, T is each sampling timestamp. The actual concentration at each sampling timestamp T, The detection concentration for each sampling timestamp T, The diffusion concentration for each sampling timestamp T-1.

8. A gas monitoring system, characterized in that, include: The vehicle-mounted calibration terminal, several gas sensors, and a gas monitoring terminal that connects the several gas sensors to the vehicle-mounted calibration terminal; The vehicle-mounted calibration terminal is configured to perform the gas sensor calibration method as described in any one of claims 1-7; The gas monitoring terminal is configured to perform fire monitoring of the target cargo box based on the actual gas parameters transmitted by several gas sensors and the deployment positions of several gas sensors within the target cargo box transmitted by the vehicle calibration terminal.

9. The gas monitoring system as described in claim 8, characterized in that, Gas sensors, including: The gas detection module, including a carbon monoxide concentration detection unit and a carbon dioxide concentration detection unit, is configured to collect the carbon monoxide concentration and carbon dioxide concentration in the deployment scenario. The information encoding module is configured to encode the gas detection parameters, acquisition time information and sensor identifier of each set of carbon monoxide and carbon dioxide concentrations collected by the gas detection module. The information transmission module is configured to transmit the detection information encoded by the information encoding module to the vehicle calibration terminal, thereby driving the vehicle calibration terminal to feed back the gas parameter calibration value based on the detection information. The gas calibration module is configured to calibrate and obtain the actual gas parameters for each sampling time stamp based on the gas detection parameters and gas parameter calibration values ​​corresponding to each sampling time stamp.

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