Gas sensor calibration method, gas sensor and gas monitoring system

Abstract

The invention relates to the technical field of gas monitoring, and discloses a gas sensor calibration method, a gas sensor and a gas monitoring system.The gas sensor calibration method comprises the steps that detection information streams uploaded by a plurality of gas sensors are received, and according to the deployment position of each gas sensor and the cargo box space layout form of a target cargo box in a current transportation task, the target cargo box is calibrated; according to the method, gas sensors are divided into different gas circulation categories, transportation speed information of a transportation vehicle is considered, the gas circulation diffusion proportion of an area to which each gas sensor belongs in each detection period is determined, and according to a gas detection parameter of a current detection period and a gas parameter calibration value determined in a previous detection period, the gas circulation diffusion proportion of the area to which each gas sensor belongs is determined. And calibrating actual gas parameters of each detection period. Therefore, the detection quantity of the gas sensor is calibrated, so that the obtained actual gas parameter is closer to the real gas release quantity, the recognition accuracy of the smoldering fire stage is improved, the complex environmental factors of the container are considered, and the method has relatively high 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. In the smoldering stage of the fire in the cargo box, it is extremely difficult to discover 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 smoldering 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 smoldering stage. 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 driving speed of the vehicle also affects the diffusion of gas. When the vehicle is traveling faster, a greater negative pressure will be formed at the cargo box vent, and the gas will diffuse more easily. Conversely, when the vehicle is traveling slower, the gas will not diffuse easily. 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, resulting in the inability to accurately and timely identify the smoldering 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

[0003] 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.

[0004] To achieve the above-mentioned purpose, the present application provides a gas sensor calibration method, comprising the following steps: Obtain detection information streams uploaded by a plurality of gas sensors in the target container; wherein the detection information streams include sensor identifiers and gas detection parameters corresponding to each sampling timestamp, and the gas detection parameters include carbon monoxide concentration and carbon dioxide concentration; Determine the deployment positions of each gas sensor based on the sensor identifiers, and divide the plurality of gas sensors into different gas flow categories according to the deployment positions and the spatial layout form of the target container in the current transportation task; Collect transportation speed information of the transportation vehicle to which the target container belongs, and match the gas flow diffusion proportion of each gas sensor using the transportation speed information and the gas flow category of each gas sensor; Determine the gas parameter calibration value of each gas sensor according to the gas detection parameters of each gas sensor at each sampling timestamp and the gas flow diffusion proportion; Send the gas parameter calibration value to the corresponding gas sensor, and drive each gas sensor to calibrate the gas actual parameter at each sampling timestamp based on the gas detection parameter corresponding to each sampling timestamp and the gas parameter calibration value.

[0005] Optionally, the step of obtaining detection information streams uploaded by a plurality of gas sensors in the target container specifically includes: Receive a plurality of detection information collected and uploaded by each gas sensor in the target container at each detection period, and extract the encoding information and collection time information in each detection information; wherein the encoding information includes an identifier code and a parameter code; Convert the identifier code to generate the sensor identifier of each detection information; Convert the parameter code to parameter values, and generate the gas detection parameter of each detection information at each sampling timestamp using the parameter values obtained by conversion and the collection time information of the detection information.

[0006] Optionally, the step of determining the deployment position of each gas sensor based on the sensor identifier specifically includes: Call a pre-stored gas sensor deployment data list; wherein the gas sensor deployment data list contains the deployment position information of each gas sensor recorded when deployed; Query the deployment position of each gas sensor in the target container in the gas sensor deployment data list based on the sensor identifier.

[0007] Optionally, the step of dividing the plurality of gas sensors into different gas flow categories according to the deployment positions and the spatial layout form of the target container in the current transportation task specifically includes: Obtaining the container space layout information of the target container input by the transport management personnel, and extracting the use state of each standard location in the container space layout information; According to the gas flow port position of the target container and the location setting position and the cargo occupancy state of each standard location, the container space layout form of the target container in the current transport task is constructed. Based on the deployment position of each gas sensor and the container space layout form of the target container in the current transport task, according to the number of stacked cargos and the distribution of gas flow ports within the preset diffusion influence area of each gas sensor, a plurality of gas sensors are divided into different gas flow categories.

[0008] Optionally, 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 to have at least one gas flow port or the number of stacked cargos is less than a first preset value within the preset diffusion influence area. Wherein, the medium gas flow category is configured to have no gas flow port and the number of stacked cargos is between the first preset value and the second preset value within the preset diffusion influence area. Wherein, the low gas flow category is configured to have no gas flow port and the number of stacked cargos is greater than the second preset value within the preset diffusion influence area.

[0009] Optionally, the transport speed information of the transport vehicle to which the target container belongs is collected, and the transport speed information and the gas flow category of each gas sensor are used to match the gas flow diffusion ratio of each gas sensor, specifically including: Collecting the transport speed of the transport vehicle to which the target container belongs corresponding to each sampling timestamp, and establishing the mapping relationship between the transport speed and the gas detection parameter of each sampling timestamp; Querying the pre-stored gas flow diffusion ratio data table corresponding to different gas flow categories under different transport speeds; wherein, the gas flow diffusion ratio data table records the gas flow diffusion ratio calculated when the gas flow diffusion test is performed on the gas sensor arranged at the position of different gas flow categories in the container under the negative pressure environment corresponding to different transport speeds outside the container of the same type of container; 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.

[0010] Optionally, according to the gas detection parameter and the gas flow diffusion ratio of each gas sensor at each sampling timestamp, the gas parameter calibration value of each gas sensor is determined, specifically including: The gas flow diffusion concentration of each detection period is calculated by taking the gas detection parameter of each sampling timestamp and the gas flow diffusion proportion as the average gas detection parameter and the period gas flow diffusion proportion of the corresponding detection period; wherein the expression of the gas flow diffusion concentration of each detection period is specifically: ; In the formula, is the gas flow diffusion concentration of each detection period, is the gas flow diffusion concentration of each detection period, is the average gas detection parameter of each detection period; According to the order from front to back of a plurality of detection periods, the gas calibration concentration corresponding to the gas flow diffusion amount of each gas sensor in the previous detection period is taken as the gas parameter calibration value of the gas sensor in the next detection period.

[0011] Optionally, the gas parameter calibration value is sent to the corresponding gas sensor to drive each gas sensor to calibrate the gas actual parameter of each sampling timestamp based on the gas detection parameter corresponding to each sampling timestamp and the gas parameter calibration value. The gas parameter calibration value of each gas sensor in the current detection period is sent to the corresponding gas sensor to drive each gas sensor to calibrate the gas actual parameter of each sampling timestamp based on the average gas detection parameter of the corresponding detection period and the gas parameter calibration value. In the formula, ; In the formula, T is each sampling timestamp, is the gas actual parameter of each sampling timestamp T, is the gas detection parameter of each sampling timestamp T, is the gas actual parameter of each sampling timestamp T.

[0012] In addition, in order to achieve the above-mentioned purpose, the application further provides a gas sensor, comprising: A gas detection module comprising a carbon monoxide concentration detection unit and a carbon dioxide concentration detection unit, configured to collect carbon monoxide concentration and carbon dioxide concentration in a deployment scene; An information encoding module configured to encode the gas detection parameter, collection time information and sensor identifier of each group of carbon monoxide concentration and carbon dioxide concentration collected by the gas detection module as detection information; The information transmission module is configured to transmit the detection information generated by the information encoding module to the vehicle-mounted calibration terminal, and drive the vehicle-mounted calibration terminal to feed back a gas parameter calibration value based on the detection information; The gas calibration module is configured to calibrate the actual gas parameter of each sampling timestamp based on the gas detection parameter corresponding to each sampling timestamp and the gas parameter calibration value.

[0013] In addition, in order to achieve the above-mentioned purpose, the present application also provides a gas monitoring system, comprising: a vehicle-mounted calibration terminal, a plurality of gas sensors as described above, and a gas monitoring terminal connected with the plurality of gas sensors and the vehicle-mounted calibration terminal; The vehicle-mounted calibration terminal is configured to execute the gas sensor calibration method according to any one of the above; The gas monitoring terminal is configured to execute fire monitoring of the target container according to the actual gas parameters transmitted by the plurality of gas sensors and the deployment positions of the plurality of gas sensors in the target container transmitted by the vehicle-mounted calibration terminal.

[0014] The present application has the beneficial effects that a gas sensor calibration method, a gas sensor and a gas monitoring system are provided, detection information streams uploaded by a plurality of gas sensors are received, the gas sensors are divided into different gas flow categories according to the deployment positions of each gas sensor and the container space layout form of the target container in the current transportation task, the gas flow diffusion proportion of the region to which each gas sensor belongs in each detection period is determined by considering the transportation speed information of the transportation vehicle, and then the actual gas parameter of each detection period is calibrated according to the gas detection parameter of the current detection period and the gas parameter calibration value determined in the last detection period. Therefore, the detection amount of the gas sensor is calibrated by the present application, the obtained actual gas parameter is closer to the real gas release amount, the accuracy of the recognition of the hidden fire stage is improved, the complex environmental factors of the container are considered, and the present application has strong practicability and adaptability. BRIEF DESCRIPTION OF DRAWINGS

[0015] Figure 1 It is a flowchart of the gas sensor calibration method of the embodiment of the present application; Figure 2 It is a principle diagram of the gas sensor of the embodiment of the present application; Figure 3 It is a principle diagram of the gas monitoring system of the embodiment of the present application.

[0016] MARK NO. 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; 100 - vehicle-mounted calibration terminal; 200 - gas sensor; 300 - gas monitoring terminal. DETAILED DESCRIPTION

[0017] In order to make the purposes, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific examples described herein are only used to explain the present application and do not limit the present application.

[0018] The embodiment of the present application provides a gas sensor calibration method, referring to Figure 1 , Figure 1 The embodiment of the present application provides a gas sensor calibration method, referring to

[0019] In the embodiment, a gas sensor calibration method comprises the following steps: S1: Obtain detection information stream uploaded by a plurality of gas sensors in a target container; wherein the detection information stream comprises sensor identifier and gas detection parameter corresponding to each sampling timestamp, and the gas detection parameter comprises carbon monoxide concentration and carbon dioxide concentration; S2: Determine the deployment position of each gas sensor based on the sensor identifier, and divide the plurality of gas sensors into different gas flow categories according to the deployment position and the container space layout form of the target container in the current transportation task; S3: Collect transportation speed information of a transportation vehicle to which the target container belongs, and match the gas flow diffusion proportion of each gas sensor by using the transportation speed information and the gas flow category of each gas sensor; S4: Determine the gas parameter calibration value of each gas sensor according to the gas detection parameter of each gas sensor at each sampling timestamp and the gas flow diffusion proportion; S5: Send the gas parameter calibration value to the corresponding gas sensor, and drive each gas sensor to calibrate the gas actual parameter at each sampling timestamp based on the gas detection parameter corresponding to each sampling timestamp and the gas parameter calibration value.

[0020] It should be noted that in actual application process, the situation in the cargo transport vehicle container is more complex. Due to the different positions of the goods, the size of the goods, and the amount of the goods, the gas sensors arranged at different positions in the container are affected by various factors. The spatial layout form of the container can cause some areas to form dead zones or densely stacked areas, and the gas in these areas is easy to accumulate and not easy to diffuse; while in the open area and the area near the container gas flow port, the gas is more likely to diffuse. At the same time, the driving speed of the vehicle also affects the gas diffusion. When the vehicle speed is faster, a larger negative pressure is formed at the container vent, and the gas is more likely to diffuse. On the contrary, when the vehicle speed is slower, the gas is not easy to diffuse. These factors make the gas concentration detected by the gas sensor at each position in the container 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, resulting in the inability to accurately and timely identify the smoldering stage.

[0021] To solve the above problems, the embodiment receives the detection information stream uploaded by the plurality of gas sensors, divides the gas sensors into different gas flow categories according to the deployment position of each gas sensor and the spatial layout form of the target container in the current transport task, considers the transport speed information of the transport vehicle, determines the gas flow diffusion ratio of each gas sensor in each detection period, and then calibrates the actual gas parameter of each detection period according to the gas detection parameter of the current detection period and the gas parameter calibration value determined in the last detection period. Thus, the present application calibrates the detection amount of the gas sensor, so that the obtained actual gas parameter is closer to the real gas release amount, improves the accuracy of identifying the smoldering stage, considers the complex environmental factors of the container, and has strong practicality and adaptability.

[0022] In a preferred embodiment, the step of obtaining the detection information stream uploaded by the plurality of gas sensors in the target container specifically includes: S11: receiving a plurality of detection information collected and uploaded by each gas sensor in the target container in each detection period, and extracting the encoding information and collection time information in each detection information; wherein the encoding information includes an identification code and a parameter code; S12: converting the identification code into identification information to generate the sensor identification of each detection information; S13: converting the parameter code into a parameter value, and using the parameter value obtained by the conversion and the collection time information of the detection information to generate the gas detection parameter of each detection information at each sampling timestamp.

[0023] In this embodiment, each gas sensor is assigned a displacement sensor identifier, which can be a string of numbers, a combination of letters or other specific codes, for the purpose of uniquely identifying each gas sensor. At the same time, each gas sensor is configured to have at least the detection function of carbon monoxide concentration and carbon dioxide concentration, and can record the sampling time stamp of each detection. Each gas sensor sends detection information containing the sensor identifier corresponding to the identifier code, the parameter value and the parameter code corresponding to the collection time information to the vehicle-mounted calibration terminal at each sampling time stamp. The vehicle-mounted calibration terminal can extract the sensor identifier of the detection information and the gas detection parameters of each sampling time stamp according to the received detection information stream.

[0024] In addition, a stable data transmission link is configured between the gas sensor and the vehicle-mounted calibration terminal, which can be wireless transmission or wired transmission. The gas sensor detects the gas parameters in the container according to the set sampling frequency (such as once every 10 seconds), and uploads the detection information stream containing its own sensor identifier, sampling time stamp and corresponding carbon monoxide concentration, carbon dioxide concentration and other gas detection parameters to the vehicle-mounted calibration terminal in real time. At the same time, the vehicle-mounted calibration terminal is configured to have data receiving and storage functions to ensure that it can receive and save the detection information stream uploaded by the gas sensor completely and accurately.

[0025] In the preferred embodiment, based on the sensor identifier, the step of determining the deployment position of each gas sensor comprises: S21: Call the pre-stored gas sensor deployment data list; wherein the gas sensor deployment data list contains the deployment position information entered by each gas sensor when it is deployed; S22: Based on the sensor identifier, query the deployment position of each gas sensor in the target container in the gas sensor deployment data list.

[0026] On this basis, according to the deployment position and the container space layout form of the target container in the current transportation task, the step of dividing a plurality of gas sensors into different gas flow categories comprises: S23: Obtain the container space layout information of the target container entered by the transportation management personnel, and extract the use state of each standard location in the container space layout information; S24: According to the gas flow port position of the target container and the location setting position and the cargo occupancy state of each standard location, the container space layout form of the target container in the current transportation task is constructed; S25: Based on the deployment position of each gas sensor and the space layout form of the target container in the current transport task, the number of stacked goods and the distribution of gas flow ports in the preset diffusion influence area of each gas sensor are determined, and the gas sensors are divided into different gas flow categories.

[0027] In this embodiment, according to the sensor identifier, the deployment position of each gas sensor in the target container (three-dimensional coordinate system coordinates of the gas sensor in the target container) can be extracted from the gas sensor deployment data list of the vehicle calibration terminal, and then through the space layout information of the container input by the transport management personnel, the gas flow ports opened in the target container, the position of each standard location and the occupancy state of the goods are extracted, and the number of stacked goods and the distribution of gas flow ports in the preset diffusion influence area of each gas sensor are calculated to divide the gas flow categories of the gas sensors in the target container.

[0028] In practical application, if the sensor is deployed in a dead zone (i.e. an area where goods completely surround and there is almost no gas flow) or a densely stacked area (i.e. an area where the gap between goods is extremely small and the gas flow is severely blocked), it is divided into a low flow category. If the sensor is deployed in an open area (i.e. an area with less surrounding goods and relatively open space, and the gas flow is relatively smooth), it is divided into a medium flow category. If the sensor is deployed near the gas flow port of the container (e.g. near the preset vent of the container, and the gas is easy to exchange with the outside world), it is divided into a high flow category.

[0029] For example, the gas flow categories include a high gas flow category, a medium gas flow category and a low gas flow category; wherein the high gas flow category is configured to have at least one gas flow port or a number of stacked goods less than a first preset value in the preset diffusion influence area; the medium gas flow category is configured to have no gas flow port and a number of stacked goods between the first preset value and a second preset value in the preset diffusion influence area; and the low gas flow category is configured to have no gas flow port and a number of stacked goods greater than the second preset value in the preset diffusion influence area.

[0030] In a preferred embodiment, the transport speed information of the transport vehicle to which the target container belongs is collected, and the transport speed information and the gas flow category of each gas sensor are used to match the gas flow diffusion ratio of each gas sensor, which specifically includes: S31: Collect the transport speed of the transport vehicle to which the target container belongs at each sampling time stamp, and establish a mapping relationship between the transport speed and the gas detection parameters at each sampling time stamp; 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. 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.

[0031] 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.

[0032] 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.

[0033] 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: 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: ; In the formula, The gas diffusion concentration for each detection cycle. a gas flow diffusion concentration of each detection period, an average gas detection parameter of each detection period; S42: according to the sequence from front to back of several detection periods, the gas calibration concentration corresponding to the gas flow diffusion amount of each gas sensor in the previous detection period is taken as the gas parameter calibration value of the next detection period of the gas sensor.

[0034] On this basis, the gas parameter calibration value is sent to the corresponding gas sensor, and each gas sensor is driven to calibrate the gas actual parameter of each sampling timestamp based on the gas detection parameter corresponding to each sampling timestamp and the gas parameter calibration value. S51: the gas parameter calibration value of each gas sensor in the current detection period is sent to the corresponding gas sensor, and each gas sensor is driven to calibrate the gas actual parameter of each sampling timestamp based on the average gas detection parameter of the detection period corresponding to each sampling timestamp and the gas parameter calibration value; wherein the expression of the gas actual parameter of each sampling timestamp is specifically: ; wherein T is each sampling timestamp, is the gas actual parameter of each sampling timestamp T, is the gas detection parameter of each sampling timestamp T, is the gas actual parameter of each sampling timestamp T.

[0035] In the embodiment, the transport speed information of the transport vehicle and the gas flow category of the gas sensor are used to determine the gas flow diffusion proportion of the region to which each gas sensor belongs in each detection period, and then the gas parameter calibration value of the next detection period is calculated according to the gas flow diffusion proportion, and the gas actual parameter of each detection period is calibrated according to the gas detection parameter of the current detection period and the gas parameter calibration value determined in the previous detection period. Thus, by calibrating the detection amount of the gas sensor, the obtained gas actual parameter is closer to the real gas release amount, the accuracy of identifying the hidden fire stage is improved, the complex environmental factors of the cargo box are considered, and the practicability and adaptability are strong.

[0036] Referring to Figure 2 , Figure 2 is a schematic diagram of the principle of the gas sensor of the embodiment of the present application.

[0037] As Figure 2 shown, the gas sensor provided by the embodiment of the present application comprises: The gas detection module 10 includes a carbon monoxide concentration detection unit 110 and a carbon dioxide concentration detection unit 120, configured to collect carbon monoxide concentration and carbon dioxide concentration in a deployment scene; The information encoding module 20 is configured to encode the detection information of each set of carbon monoxide concentration and carbon dioxide concentration, collection time information and sensor identifier collected by the gas detection module; The information transmission module 30 is configured to transmit the detection information encoded by the information encoding module to the vehicle-mounted calibration terminal, and drive the vehicle-mounted calibration terminal to feed back the gas parameter calibration value based on the detection information; The gas calibration module 40 is configured to calibrate the actual gas parameters of each sampling timestamp based on the gas detection parameters corresponding to each sampling timestamp and the gas parameter calibration value.

[0038] In this embodiment, the gas sensor collects carbon monoxide concentration and carbon dioxide concentration in a deployment scene, and sends the detection information containing the gas detection parameters of each set of carbon monoxide concentration and carbon dioxide concentration, collection time information and sensor identifier to the vehicle-mounted calibration terminal through information encoding. After receiving the gas parameter calibration value fed back by the vehicle-mounted calibration terminal, the actual gas parameters of each sampling timestamp are calibrated and stored accordingly, so that the calibrated gas detection data can be obtained by the gas monitoring terminal, and whether a fire occurs in the cargo box and the fire stage condition can be judged based on the actual proportional change of carbon monoxide concentration and carbon dioxide concentration.

[0039] Other embodiments or specific implementations of the gas sensor of the present application can refer to the embodiments of the above-mentioned gas sensor calibration methods, which will not be described here.

[0040] Reference Figure 3 , Figure 3 The figure is a schematic diagram of the principle of the gas monitoring system of the embodiment of the present application.

[0041] The vehicle-mounted calibration terminal 100, a plurality of gas sensors 200 as described above, and a gas monitoring terminal 300 connected to the plurality of gas sensors 200 and the vehicle-mounted calibration terminal 100; The vehicle-mounted calibration terminal 100 is configured to execute the gas sensor calibration method according to any one of the above; The gas monitoring terminal 300 is configured to perform fire monitoring of the target cargo box according to the actual gas parameters transmitted by the plurality of gas sensors 200 and the deployment positions of the plurality of gas sensors 200 in the target cargo box transmitted by the vehicle-mounted calibration terminal 100.

[0042] In the embodiment, the gas actual parameters transmitted by the gas sensors and the deployment positions of the gas sensors in the target container transmitted by the vehicle calibration terminal are received by the gas monitoring terminal, the fire monitoring of the target container is performed, the detection amount of the gas sensor is calibrated, the influence of the container space layout form, the gas flow port position and the vehicle speed on the gas detection is eliminated, the obtained gas actual parameters are closer to the real gas release amount, the accuracy of the identification of the hidden fire stage is improved, the accurate gas actual parameters can make the related system discover the characteristics of the hidden fire stage more timely, the fire warning is issued in advance, more time is obtained for taking the fire extinguishing measures, and the loss caused by the fire is reduced; meanwhile, the complex environmental factors in the container are fully considered, dynamic calibration can be performed according to different gas flow categories and transportation speeds, the container is suitable for various container loading conditions and driving states, and the container has strong practicability and adaptability.

[0043] Other embodiments or specific implementations of the gas monitoring system can refer to the embodiments of the gas sensor calibration method and the gas sensor, and details are not described herein.

[0044] It can be understood that, in the description of the specification, the description of the terms "an embodiment", "another embodiment", "other embodiments", or "first embodiment to Nth embodiment" means that the specific features, structures, materials or characteristics described in combination with the embodiment or example are included in at least one embodiment or example of the present application. In the specification, the illustrative description of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner.

[0045] It should be noted that, in this paper, the terms "include", "contain" or any other variants thereof are intended to cover non-exclusive inclusion, so that the process, method, article or system including a series of elements not only includes those elements, but also includes other elements not explicitly listed, or includes elements inherent to such process, method, article or system. Without more limitations, the element defined by the statement "including a" does not exclude the presence of another identical element in the process, method, article or system including the element.

[0046] The above is only the preferred embodiment of the present application, and does not limit the patent scope of the present application, and any equivalent structure or equivalent process transformation using the content of the specification and drawings of the present application, or direct or indirect application in other related technical fields, are also included in the patent protection scope of the present application.

Claims

1. A gas sensor calibration method characterized by, The method comprises the following steps: Obtaining detection information streams uploaded by a plurality of gas sensors in a target container; wherein the detection information streams comprise sensor identifiers and gas detection parameters corresponding to each sampling timestamp, and the gas detection parameters comprise carbon monoxide concentration and carbon dioxide concentration; Based on the sensor identifiers, determining the deployment positions of each gas sensor, and dividing the plurality of gas sensors into different gas flow categories according to the deployment positions and the container space layout form of the target container in the current transportation task; Collecting transportation speed information of a transportation vehicle to which the target container belongs, and matching the gas flow diffusion proportion of each gas sensor by using the transportation speed information and the gas flow category of each gas sensor; According to the gas detection parameters of each gas sensor at each sampling timestamp and the gas flow diffusion proportion, determining the gas parameter calibration value of each gas sensor; Sending the gas parameter calibration value to the corresponding gas sensor, and driving each gas sensor to calibrate the actual gas parameter at each sampling timestamp based on the gas detection parameter corresponding to each sampling timestamp and the gas parameter calibration value.

2. The gas sensor calibration method of claim 1, wherein, The step of obtaining detection information streams uploaded by a plurality of gas sensors in a target container comprises: Receiving a plurality of detection information collected and uploaded by each gas sensor in the target container in each detection period, and extracting the encoding information and collection time information in each detection information; wherein the encoding information comprises an identifier code and a parameter code; Converting the identifier code into identification information to generate the sensor identifier of each detection information; Converting the parameter code into a parameter value, and generating the gas detection parameter of each detection information at each sampling timestamp by using the parameter value obtained by the conversion and the collection time information of the detection information.

3. The gas sensor calibration method of claim 1, wherein, The step of determining the deployment position of each gas sensor based on the sensor identifier comprises: Calling a pre-stored gas sensor deployment data list; wherein the gas sensor deployment data list contains the deployment position information of each gas sensor recorded when deployed; Based on the sensor identifier, querying the deployment position of each gas sensor in the target container in the gas sensor deployment data list.

4. The gas sensor calibration method of claim 1, wherein, The step of dividing the plurality of gas sensors into different gas flow categories according to the deployment position and the container space layout form of the target container in the current transportation task comprises: Obtaining container space layout information of the target container input by a transportation management personnel, and extracting the usage state of each standard storage position in the container space layout information; According to the gas flow port position of the target container and the storage position and cargo occupancy state of each standard storage position, constructing the container space layout form of the target container in the current transportation task; Based on the deployment position of each gas sensor and the container space layout form of the target container in the current transportation task, dividing the plurality of gas sensors into different gas flow categories according to the number of stacked goods and the distribution of gas flow ports of each gas sensor in a preset diffusion influence area.

5. The gas sensor calibration method of claim 4, wherein, The gas flow categories include a high gas flow category, a medium gas flow category, and a low gas flow category. The high gas flow category is configured to have at least one gas flow port present in a preset diffusion influence area or the number of cargo stacks to be lower than a first preset value. The medium gas flow category is configured to have no gas flow port present in a preset diffusion influence area and the number of cargo stacks to be between the first preset value and a second preset value. The low gas flow category is configured to have no gas flow port present in a preset diffusion influence area and the number of cargo stacks to be higher than the second preset value.

6. The gas sensor calibration method of claim 1, wherein, The transport speed information of the transport vehicle to which the target container belongs is collected, and the gas flow diffusion proportion of each gas sensor is matched by using the transport speed information and the gas flow category of each gas sensor, and specifically includes the following steps: The transport speed of the transport vehicle to which the target container belongs at each sampling timestamp is collected, and a mapping relationship between the transport speed and the gas detection parameter of each sampling timestamp is established; A gas flow diffusion proportion data table corresponding to different gas flow categories under different transport speeds is queried, wherein the gas flow diffusion proportion data table records the gas flow diffusion proportion calculated when the gas sensor is arranged at a position in the container under a negative pressure environment corresponding to different transport speeds outside the container of the same type of container during the gas flow diffusion test; The gas flow diffusion proportion of each gas sensor is matched in the gas flow diffusion proportion data table by using the transport speed information and the gas flow category of each gas sensor.

7. The gas sensor calibration method of claim 1, wherein, According to the gas detection parameter and the gas flow diffusion proportion of each gas sensor at each sampling timestamp, the gas parameter calibration value of each gas sensor is determined, and specifically includes the following steps: The gas detection parameter and the gas flow diffusion proportion of each sampling timestamp are taken as the average gas detection parameter and the cycle gas flow diffusion proportion of the corresponding detection period, and the gas flow diffusion concentration of each detection period is calculated; wherein the expression of the gas flow diffusion concentration of each detection period is specifically as follows: ； In the formula, is the gas flow diffusion concentration for each detection period, is the gas flow diffusion concentration for each detection period, is the average gas detection parameter for each detection period; According to the order of a plurality of detection periods from front to back, the gas calibration concentration corresponding to the gas flow diffusion amount of each gas sensor in the previous detection period is sequentially taken as the gas parameter calibration value of the gas sensor in the next detection period.

8. The gas sensor calibration method of claim 7, wherein, The gas parameter calibration value is sent to the corresponding gas sensor, and each gas sensor is driven to calibrate the gas actual parameter of each sampling timestamp based on the gas detection parameter and the gas parameter calibration value corresponding to each sampling timestamp, and specifically includes the following steps: The gas parameter calibration value of each gas sensor in the current detection period is sent to the corresponding gas sensor, and each gas sensor is driven to calibrate the gas actual parameter of each sampling timestamp based on the average gas detection parameter and the gas parameter calibration value of the corresponding detection period of each sampling timestamp; The expression of the gas actual parameter of each sampling timestamp is specifically as follows: ； where T is each sampling timestamp, is the gas actual parameter for each sampling timestamp T, is the gas detection parameter for each sampling timestamp T, is the gas actual parameter for each sampling timestamp T.

9. A gas sensor, characterized by It includes: The gas detection module includes a carbon monoxide concentration detection unit and a carbon dioxide concentration detection unit, which are configured to collect the carbon monoxide concentration and the carbon dioxide concentration in the deployment scene; The information encoding module is configured to encode the gas detection parameters of each set of carbon monoxide concentration and carbon dioxide concentration collected by the gas detection module, the collection time information, and the sensor identification detection information; The information transmission module is configured to transmit the detection information encoded by the information encoding module to the vehicle-mounted calibration terminal, and drive the vehicle-mounted calibration terminal to feed back the gas parameter calibration value based on the detection information; The gas calibration module is configured to calibrate the actual gas parameters of each sampling time stamp based on the gas detection parameters corresponding to each sampling time stamp and the gas parameter calibration value.

10. A gas monitoring system characterized by, The system comprises: a vehicle-mounted calibration terminal, a plurality of gas sensors according to claim 9, and a gas monitoring terminal connected to the plurality of gas sensors and the vehicle-mounted calibration terminal; The vehicle-mounted calibration terminal is configured to perform the gas sensor calibration method according to any one of claims 1-8; The gas monitoring terminal is configured to perform fire monitoring of the target container according to the actual gas parameters transmitted by the plurality of gas sensors and the deployment positions of the plurality of gas sensors in the target container transmitted by the vehicle-mounted calibration terminal.

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