Calibration method, device, equipment and storage medium for remote sensing monitoring host

Abstract

The present invention relates to the field of base frame operation and maintenance, and discloses a calibration method, device, equipment and storage medium for a remote sensing monitoring host. The method comprises: calling a light emitting device to emit a detection light to a reflective device pre-placed on the opposite side of the road, and calling a light receiving device to receive the reflected light, wherein the detection light is reflected after entering the reflective device; performing spectral detection on the reflected light based on a preset spectrometer to obtain spectral line data and light intensity data, and drawing a target spectrum graph; calculating the spectrum similarity between the target spectrum graph and the preset standard spectrum graph based on a preset similarity algorithm; if the spectrum similarity is less than a preset threshold, calling an injection device to inject a standard mixed gas along the conduction path of the detection light to calibrate the remote sensing monitoring host. The calibration process of the present invention does not require manual intervention, has high calibration efficiency, and can calibrate in a timely and accurate manner to improve the accuracy of automobile exhaust monitoring.

Description

Technical Field

[0001] The present invention relates to the field of base frame operation and maintenance, and in particular to a calibration method, device, equipment and storage medium for a remote sensing monitoring host. Background Art

[0002] With the development of the economy, the number of vehicles on the road is increasing. Remote sensing monitoring technology is often used to monitor exhaust emissions from motor vehicles and implement various environmental protection strategies. Specifically, remote sensing monitoring devices are installed on the road. These devices are usually divided into a main unit and an auxiliary unit. The main unit transmits detection light, such as ultraviolet light or infrared light, through a light emitting device to an optical reflector in the auxiliary unit located across the road. When a car travels on the road, the detection light is absorbed by the high concentration of pollutants in the car's exhaust, changing its intensity. The optical reflector then reflects the light back to the light receiving device in the main unit. By comparing the intensity of the detection light and the reflected light, the concentration of the car's exhaust can be determined.

[0003] The above-mentioned remote sensing monitoring device needs to be calibrated daily to ensure the accuracy of the instrument monitoring. The usual calibration method is to inject a standard mixed gas on the transmission path of the optical path to perform calibration, thereby ensuring that the device accurately monitors the exhaust gas.

[0004] The existing remote sensing monitoring host calibration method requires manual calibration by carrying gas cylinders to the site at regular intervals. Since the change in gas chamber concentration during a monitoring period is uncertain, calibration may be delayed, that is, calibration may be performed too early or too late, resulting in inaccurate calibration. When the calibration time is too early, the gas in the cylinder is wasted, increasing the operating cost of the equipment. When the calibration time is too late, the telemetry data calculated by the equipment will be biased, resulting in a decrease in data quality. Summary of the Invention

[0005] The main purpose of the present invention is to solve the problem that the calibration method of the existing remote sensing monitoring host is inaccurate due to untimely calibration.

[0006] A first aspect of the present invention provides a calibration method for a remote sensing monitoring host, wherein the remote sensing monitoring host includes a light emitting device, a light receiving device, and an air injection device. The method includes:

[0007] Invoking the light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and invoking the light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is reflected from the reflective device after entering the reflective device;

[0008] Performing spectrum detection on the reflected light based on a preset spectrometer to obtain spectrum line data and light intensity data of the reflected light, and drawing a target spectrum graph based on the spectrum line data and the light intensity data;

[0009] Calculating the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm;

[0010] If the spectrum similarity is less than a preset threshold, the jet device is called to jet a standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host.

[0011] Optionally, in a first implementation of the first aspect of the present invention, calculating the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm includes:

[0012] Comparing the target spectrum with the standard spectrum, and calculating a target spectrum characteristic deviation value between the target spectrum and the standard spectrum;

[0013] According to the preset correspondence between the spectrum feature deviation value and the spectrum similarity, the spectrum similarity corresponding to the target spectrum feature deviation value is determined to obtain the spectrum similarity between the target spectrum and the standard spectrum.

[0014] Optionally, in a second implementation of the first aspect of the present invention, performing a spectrum comparison between the target spectrum and the standard spectrum, and calculating a target spectrum characteristic deviation value between the target spectrum and the standard spectrum includes:

[0015] Performing a spectrum comparison between the target spectrum and the standard spectrum, calculating a first deviation value between a peak and a trough in the first spectrum feature, calculating a second deviation value between a peak and a trough in the second spectrum feature, and calculating a first deviation component between the first deviation value and the second deviation value;

[0016] Calculating a spectral line offset distance between a spectral line in the first spectral feature and a spectral line in the second spectral feature to obtain a second deviation component;

[0017] Based on the preset weight of the first deviation component and the preset weight of the second deviation component, the first deviation component and the second deviation component are weightedly summed to obtain a target map feature deviation value between the first map feature and the second map feature.

[0018] Optionally, in a third implementation of the first aspect of the present invention, calculating the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm includes:

[0019] Convolving the standard spectrum graph and the target spectrum graph respectively to extract a first spectrum feature vector corresponding to the standard spectrum graph and a second spectrum feature vector corresponding to the target spectrum graph;

[0020] Based on a preset Euclidean distance function, the first spectrum feature vector and the second spectrum feature vector are calculated to obtain the spectrum similarity between the target spectrum and the standard spectrum.

[0021] Optionally, in a fourth implementation of the first aspect of the present invention, before calling the light emitting device to emit detection light to a reflective device pre-placed on the opposite side of the road, and calling the light receiving device to receive reflected light corresponding to the detection light, the method further includes:

[0022] Initiating service connection verification to the remote sensing monitoring host;

[0023] If the service connection verification is passed, a service connection is established with the remote sensing monitoring host to activate the light emitting device, the light receiving device and the air jet device.

[0024] Optionally, in a fifth implementation of the first aspect of the present invention, the initiating service connection verification to the remote sensing monitoring host includes:

[0025] Based on the RSA public key in the preset key pair, the service certificate in the remote sensing monitoring host is verified. If the verification is successful, it is determined that the service connection verification is successful. The preset key pair includes an RSA public key and an RSA private key. The RSA private key is used for certificate signing, and the RSA public key is used for certificate verification.

[0026] Optionally, in a sixth implementation of the first aspect of the present invention, the remote sensing monitoring host further includes a gas storage device for storing a standard mixed gas, and if the spectrum similarity is less than a preset threshold, the jetting device is called to jet the standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host, further comprising:

[0027] detecting the gas content of the standard mixed gas in the gas injection device based on a preset frequency;

[0028] If it is detected that the gas content of the standard mixed gas in the jet device is less than a preset threshold, the gas storage device is called to replenish the standard mixed gas in the jet device.

[0029] A second aspect of the present invention provides a calibration device for a remote sensing monitoring host, wherein the remote sensing monitoring host includes a light emitting device, a light receiving device, and an air injection device. The calibration device for the remote sensing monitoring host includes:

[0030] an optical reaction module, configured to call the light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and to call the light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is reflected from the reflective device after entering the reflective device;

[0031] a spectrum plotting module, configured to perform spectrum detection on the reflected light based on a preset spectrometer, obtain spectrum line data and light intensity data of the reflected light, and plot a target spectrum plot based on the spectrum line data and the light intensity data;

[0032] A similarity calculation module is used to calculate the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm;

[0033] The host calibration module is used to call the jet device to spray a standard mixed gas along the conduction path of the detection light to calibrate the remote sensing monitoring host if the spectrum similarity is less than a preset threshold.

[0034] Optionally, in a first implementation of the second aspect of the present invention, the similarity calculation module specifically includes:

[0035] a deviation calculation unit, configured to perform a spectrum comparison between the target spectrum and the standard spectrum, and calculate a target spectrum characteristic deviation value between the target spectrum and the standard spectrum;

[0036] The determination unit is used to determine the spectrum similarity corresponding to the target spectrum feature deviation value according to the preset correspondence between the spectrum feature deviation value and the spectrum similarity, and obtain the spectrum similarity between the target spectrum and the standard spectrum.

[0037] Optionally, in a second implementation of the second aspect of the present invention, the deviation calculation unit is specifically configured to:

[0038] Performing a spectrum comparison between the target spectrum and the standard spectrum, calculating a first deviation value between a peak and a trough in the first spectrum feature, calculating a second deviation value between a peak and a trough in the second spectrum feature, and calculating a first deviation component between the first deviation value and the second deviation value;

[0039] Calculating a spectral line offset distance between a spectral line in the first spectral feature and a spectral line in the second spectral feature to obtain a second deviation component;

[0040] Based on the preset weight of the first deviation component and the preset weight of the second deviation component, the first deviation component and the second deviation component are weightedly summed to obtain a target map feature deviation value between the first map feature and the second map feature.

[0041] Optionally, in a third implementation of the second aspect of the present invention, the similarity calculation module specifically includes:

[0042] a feature extraction unit, configured to perform convolution on the standard spectrum and the target spectrum respectively to extract a first spectrum feature vector corresponding to the standard spectrum and a second spectrum feature vector corresponding to the target spectrum;

[0043] A calculation unit is used to calculate the first spectrum feature vector and the second spectrum feature vector based on a preset Euclidean distance function to obtain the spectrum similarity between the target spectrum and the standard spectrum.

[0044] Optionally, in a fourth implementation of the second aspect of the present invention, the calibration device of the remote sensing monitoring host further includes a service connection verification module, and the service connection verification module is specifically configured to:

[0045] Initiating service connection verification to the remote sensing monitoring host;

[0046] If the service connection verification is passed, a service connection is established with the remote sensing monitoring host to activate the light emitting device, the light receiving device and the gas storage device.

[0047] Optionally, in a fifth implementation of the second aspect of the present invention, the service connection verification module is specifically configured to:

[0048] Based on the RSA public key in the pre-set key pair, the service certificate in the remote sensing monitoring host is verified. If the verification is successful, it is determined that the service connection verification is passed, wherein the pre-set key pair includes an RSA public key and an RSA private key, the RSA private key is used for certificate signing, and the RSA public key is used for certificate verification;

[0049] If the service connection verification is passed, a service connection is established with the remote sensing monitoring host to activate the light emitting device, the light receiving device and the air jet device.

[0050] Optionally, in a sixth implementation of the second aspect of the present invention, the remote sensing monitoring host further includes a gas storage device for storing a standard mixed gas, and the detection gas replenishment module is specifically configured to:

[0051] detecting the gas content of the standard mixed gas in the gas injection device based on a preset frequency;

[0052] If it is detected that the gas content of the standard mixed gas in the jet device is less than a preset threshold, the gas storage device is called to replenish the standard mixed gas in the jet device.

[0053] The third aspect of the present invention provides a calibration device for a remote sensing monitoring host, comprising: a memory and at least one processor, wherein the memory stores instructions; the at least one processor calls the instructions in the memory so that the calibration device of the remote sensing monitoring host executes the above-mentioned calibration method of the remote sensing monitoring host.

[0054] A fourth aspect of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores instructions that, when executed on a computer, enable the computer to execute the above-mentioned remote sensing monitoring host calibration method.

[0055] In the technical solution provided by the present invention, by emitting detection light to a reflective device preset on the opposite side of the road and receiving reflected light corresponding to the detection light, spectral detection is performed on the reflected light based on a spectrometer and a spectrum diagram is drawn, so that the spectrum diagram is compared with a preset standard spectrum diagram, and the similarity between the two is calculated. If the similarity is less than a preset threshold, it means that the exhaust gas exceeds the standard value, and a jet device is called to spray a standard mixed gas along the conduction path of the detection light to calibrate the remote sensing monitoring host to improve the accuracy of exhaust gas monitoring. The calibration process does not require manual intervention, is more efficient, and can timely and accurately calibrate the remote sensing monitoring host to improve the accuracy of automobile exhaust monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 Schematic diagram of a first embodiment of a calibration method for a remote sensing monitoring host according to an embodiment of the present invention;

[0057] Figure 2 Schematic diagram of a second embodiment of a calibration method for a remote sensing monitoring host according to an embodiment of the present invention;

[0058] Figure 3 Schematic diagram of a third embodiment of a calibration method for a remote sensing monitoring host according to an embodiment of the present invention;

[0059] Figure 4 A schematic diagram of an embodiment of a calibration device for a remote sensing monitoring host in an embodiment of the present invention;

[0060] Figure 5 This is a schematic diagram of another embodiment of a calibration device for a remote sensing monitoring host according to an embodiment of the present invention;

[0061] Figure 6 Schematic diagram of an embodiment of a calibration device for a remote sensing monitoring host in an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The embodiments of the present invention provide a calibration method, device, equipment and storage medium for a remote sensing monitoring host, which are more efficient.

[0063] The terms "first," "second," "third," "fourth," and the like (if any) in the description and claims of the present invention and in the accompanying drawings are used to distinguish similar objects and are not necessarily used to describe a particular order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate so that the embodiments described herein can be implemented in an order other than that illustrated or described herein. In addition, the terms "including" or "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product, or apparatus that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or that are inherent to these processes, methods, products, or apparatus.

[0064] For ease of understanding, the specific process of the embodiment of the present invention is described below. Figure 1 The remote sensing monitoring host includes a light emitting device, a light receiving device, and an air injection device. An embodiment of the calibration method of the remote sensing monitoring host in an embodiment of the present invention includes:

[0065] 101. Invoke a light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and invoke a light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is emitted from the reflective device and then reflected as a reflected light;

[0066] It can be understood that in the scenario of remote sensing monitoring of motor vehicle exhaust, the remote sensing monitoring equipment includes a remote sensing monitoring host and a remote sensing monitoring auxiliary machine, both of which are pre-placed on both sides of the road. The remote sensing monitoring host includes a light emitting device, a light receiving device and a jet device. The remote server calls the light emitting device to emit detection light, such as ultraviolet light, infrared light, etc., to the built-in reflective device in the remote sensing monitoring auxiliary machine on the other side of the road; in this process, when a vehicle passes by, the detection light will be absorbed by the pollutants in the exhaust gas emitted by the vehicle and change the intensity of the transmitted light. When the detection light enters the reflective device in the remote sensing monitoring auxiliary machine through the transmitted light of the car exhaust, it is reflected by the reflective device to produce reflected light, and the remote server receives the reflected light by calling the light receiving device.

[0067] Specifically, the light receiving device is a light sensor, such as an infrared light sensor and an ultraviolet light sensor, and the light reflecting device is an optical reflector, etc., which are not limited in this embodiment.

[0068] 102. Perform spectrum detection on the reflected light based on a preset spectrometer to obtain spectrum line data and light intensity data of the reflected light, and draw a target spectrum graph based on the spectrum line data and light intensity data;

[0069] It can be understood that the spectral line data includes infrared spectrum lines (450 points), ultraviolet spectrum lines (250 points), and green spectrum lines (50 points), and records the peak value, peak position, trough value, trough position, etc. of each spectrum line. The light intensity data is the corresponding light intensity value, so that the target spectrum corresponding to the reflected light can be drawn according to these spectral line data and light intensity data to further perform spectral analysis on the target spectrum.

[0070] Optionally, the remote server may also compare the intensity of the detected light and the reflected light according to the Bernoulli equation and the combustion equation to determine the concentration of pollutants in the exhaust gas.

[0071] 103. Calculate the spectrum similarity between the target spectrum and the preset standard spectrum based on a preset similarity algorithm;

[0072] It is understandable that the similarity algorithm may be a Euclidean metric algorithm, a Pearson correlation coefficient algorithm, a cosine similarity algorithm, etc., which is not limited in this embodiment.

[0073] The standard spectrum diagram is the spectrum diagram corresponding to the reflected light under the preset standard pollutant concentration. The spectral similarity between the two can reflect the deviation between the current pollutant concentration in the automobile exhaust and the standard pollutant concentration. That is, the greater the similarity, the smaller the deviation. Conversely, the smaller the similarity, the greater the deviation.

[0074] 104. If the similarity of the spectrum is less than a preset threshold, the jet device is called to jet a standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host.

[0075] It can be understood that the jet device contains a standard mixed gas of standard concentration, such as a standard mixed gas of carbon monoxide (CO) with a concentration of 7%-11%, carbon dioxide (CO2) with a concentration of 40%-60%, methane with a concentration of 0.4%, and the rest is nitrogen. The remote server calls the jet device to spray the standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host, thereby improving the accuracy of exhaust gas monitoring.

[0076] Optionally, the remote sensing monitoring host also includes a gas storage device for storing standard mixed gas. After the standard mixed gas is sprayed along the conduction path of the detection light to calibrate the remote sensing monitoring host, the remote server also detects the gas content of the standard mixed gas in the jet device based on a preset frequency. If it is detected that the gas content of the standard mixed gas in the jet device is less than a preset threshold, the gas storage device is called to replenish the standard mixed gas into the jet device, thereby calibrating the remote sensing monitoring host to ensure the accuracy of exhaust gas monitoring.

[0077] Optionally, after calling the gas storage device to replenish the standard mixed gas into the injection device, the remote server also periodically detects the gas content of the standard mixed gas in the gas storage device. If the gas content of the standard mixed gas in the gas storage device is less than a preset safety threshold, a corresponding manual operation and maintenance work order is generated and distributed to notify the operation and maintenance personnel to replenish the standard mixed gas to the gas storage device, thereby realizing sustainable exhaust gas monitoring.

[0078] Optionally, the remote sensing monitoring host also includes a speed monitoring device for monitoring the speed and acceleration of the vehicle, and by determining the driving state of the vehicle, it can prevent abnormal driving state from affecting the accuracy of exhaust gas monitoring.

[0079] In this embodiment, by emitting detection light to a reflective device preset on the opposite side of the road and receiving reflected light corresponding to the detection light, the reflected light is spectrally detected and a spectrum is drawn based on a spectrometer, so that the spectrum is compared with a preset standard spectrum, and the similarity between the two is calculated. If the similarity is less than a preset threshold, it means that the exhaust gas exceeds the standard value. The jet device is called to spray a standard mixed gas along the conduction path of the detection light to calibrate the remote sensing monitoring host to improve the accuracy of exhaust gas monitoring. The calibration process does not require manual intervention, is more efficient, and can be calibrated in a timely and accurate manner to improve the accuracy of automobile exhaust monitoring.

[0080] See Figure 2 The second embodiment of the calibration method of the remote sensing monitoring host in the embodiment of the present invention includes:

[0081] 201. Invoke a light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and invoke a light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is reflected from the reflective device after entering the reflective device;

[0082] 202. Perform spectrum detection on the reflected light based on a preset spectrometer to obtain spectrum line data and light intensity data of the reflected light, and draw a target spectrum graph based on the spectrum line data and light intensity data;

[0083] Among them, steps 201-202 are similar to the execution steps of the above steps 101-102, and the details are not repeated here.

[0084] 203. Compare the target spectrum with a preset standard spectrum, and calculate a target spectrum characteristic deviation value between the target spectrum and the standard spectrum;

[0085] It is understandable that the target spectrum characteristic deviation value includes, for example, the sum of multiple deviation values such as the peak and trough numerical deviation value, the position deviation value, and the displacement deviation value of the entire spectrum line, which is not limited in this embodiment.

[0086] Optionally, the remote server first performs a spectrum comparison on the target spectrum and the standard spectrum, calculates a first deviation value between a peak and a trough in the first spectrum feature, calculates a second deviation value between a peak and a trough in the second spectrum feature, and calculates a first deviation component between the first deviation value and the second deviation value;

[0087] Secondly, the remote server calculates the spectral line offset distance between the spectral line in the first spectral feature and the spectral line in the second spectral feature to obtain a second deviation component;

[0088] Finally, the remote server performs weighted summation on the first deviation component and the second deviation component based on the preset weight of the first deviation component and the preset weight of the second deviation component to obtain the target atlas feature deviation value between the first atlas feature and the second atlas feature. For example, the first deviation component is 10, the second deviation component is 20, the weight corresponding to the first deviation component is 0.5, and the weight corresponding to the second deviation component is 0.25. The weighted sum is 10*0.5+20*0.25=10, and the target atlas feature deviation value is 10. This not only quantifies the deviation between the atlases, but also converts and unifies the features at different scales or dimensions in the atlases.

[0089] 204. Determine the spectrum similarity corresponding to the target spectrum feature deviation value according to a preset correspondence between the spectrum feature deviation value and the spectrum similarity, and obtain the spectrum similarity between the target spectrum and the standard spectrum;

[0090] It can be understood that there is a corresponding relationship between the spectrum feature deviation value and the spectrum similarity. The specific data storage form of this corresponding relationship includes but is not limited to a relationship comparison table, etc. The corresponding relationship can be a one-to-one correspondence between the two, or a range of spectrum feature deviation values can correspond to one spectrum similarity. This embodiment does not make any specific limitations on this corresponding relationship.

[0091] 205. If the similarity of the spectrum is less than a preset threshold, the jet device is called to jet a standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host.

[0092] Among them, step 205 is similar to the execution steps of the above step 104, and the details are not repeated here.

[0093] In this embodiment, the process of calculating the spectrum similarity between the target spectrum and the preset standard spectrum is described in detail. By comparing the spectra and calculating the spectrum feature deviation, the similarity corresponding to the deviation is determined, so as to accurately judge whether the automobile exhaust exceeds the standard value. If it exceeds the standard value, the jet device is called to calibrate the remote sensing monitoring host.

[0094] See Figure 3 A third embodiment of the calibration method for a remote sensing monitoring host according to an embodiment of the present invention includes:

[0095] 301. Initiate service connection verification to the remote sensing monitoring host;

[0096] It can be understood that service connection verification is used to determine whether the current remote server has access scheduling authority to the remote sensing monitoring host. The service connection verification methods include but are not limited to MD5 encryption and decryption, asymmetric encryption and decryption (such as RSA), symmetric encryption and decryption, etc., and this embodiment does not limit it.

[0097] For example, in one embodiment, the remote server verifies the signature of the service certificate in the remote sensing monitoring host based on the RSA public key in the preset key pair. If the verification is successful, it is determined that the service connection verification is successful. The preset key pair includes a pair of secret keys pre-generated by the remote server, including an RSA public key and an RSA private key. The RSA private key is used to sign the certificate to form a valid certificate, and the RSA public key is used to verify the signature of the certificate. If the verification is successful, it means that the service certificate is a valid certificate signed by the RSA private key.

[0098] 302. If the service connection verification is passed, a service connection is established with the remote sensing monitoring host to activate the light emitting device, the light receiving device, and the air jet device;

[0099] It is understandable that when the service connection verification is passed, the light emitting device, the light receiving device and the air jet device will be activated, thereby allowing the remote server to schedule and control them for calibration.

[0100] 303. Invoke a light emitting device to emit a detection light to a reflective device pre-placed on the opposite side of the road, and invoke a light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is reflected from the reflective device after entering the reflective device;

[0101] 304. Perform spectrum detection on the reflected light based on a preset spectrometer to obtain spectrum line data and light intensity data of the reflected light, and draw a target spectrum graph based on the spectrum line data and light intensity data;

[0102] 305. Calculate the spectrum similarity between the target spectrum and the preset standard spectrum based on a preset similarity algorithm;

[0103] 306. If the similarity of the spectrum is less than a preset threshold, the jet device is called to jet a standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host.

[0104] Among them, steps 303-306 are similar to the execution steps of the above steps 101-104, and the details are not repeated here.

[0105] In this embodiment, the process of establishing a service connection verification between the server and the remote sensing monitoring host and then activating the light emitting device, the light receiving device and the jet device is described in detail. When the service connection verification is passed, the light emitting device, the light receiving device and the jet device will be activated, and then the remote server can call them, thereby improving data security.

[0106] The calibration method of the remote sensing monitoring host in the embodiment of the present invention is described above. The calibration device of the remote sensing monitoring host in the embodiment of the present invention is described below. Figure 4 The remote sensing monitoring host includes a light emitting device, a spectrum detection chamber, a light receiving device, and a gas storage device. An embodiment of the calibration device of the remote sensing monitoring host in the embodiment of the present invention includes:

[0107] The optical reaction module 401 is configured to activate the light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and to activate the light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is emitted from the reflective device and then reflects as the reflected light;

[0108] The spectrum plotting module 402 is configured to perform spectrum detection on the reflected light based on a preset spectrometer to obtain spectrum line data and light intensity data of the reflected light, and to plot a target spectrum plot based on the spectrum line data and the light intensity data;

[0109] A similarity calculation module 403 is configured to calculate the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm;

[0110] The host calibration module 404 is configured to call the jet device to jet a standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host if the spectrum similarity is less than a preset threshold.

[0111] In this embodiment, by emitting detection light to a reflective device preset on the opposite side of the road and receiving reflected light corresponding to the detection light, the reflected light is spectrally detected and a spectrum is drawn based on a spectrometer, so that the spectrum is compared with a preset standard spectrum, and the similarity between the two is calculated. If the similarity is less than a preset threshold, it means that the exhaust gas exceeds the standard value. The jet device is called to spray a standard mixed gas along the conduction path of the detection light to calibrate the remote sensing monitoring host to improve the accuracy of exhaust gas monitoring. The calibration process does not require manual intervention, is more efficient, and can be calibrated in a timely and accurate manner to improve the accuracy of automobile exhaust monitoring.

[0112] See Figure 5 Another embodiment of the calibration device of the remote sensing monitoring host in the embodiment of the present invention includes:

[0113] The service connection verification module 501 is used to initiate a service connection verification to the remote sensing monitoring host. If the service connection verification is passed, a service connection is established with the remote sensing monitoring host to activate the light emitting device, the light receiving device and the jet device.

[0114] The optical reaction module 502 is configured to activate the light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and activate the light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is emitted from the reflective device and then reflects as the reflected light;

[0115] The spectrum plotting module 503 is configured to perform spectrum detection on the reflected light based on a preset spectrometer to obtain spectrum line data and light intensity data of the reflected light, and to plot a target spectrum plot based on the spectrum line data and the light intensity data;

[0116] A similarity calculation module 504 is configured to calculate the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm;

[0117] The host calibration module 505 is used to call the jet device to jet a standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host if the spectrum similarity is less than a preset threshold.

[0118] The gas replenishment detection module 506 is used to detect the gas content of the standard mixed gas in the jet device based on a preset frequency. If it is detected that the gas content of the standard mixed gas in the jet device is less than a preset threshold, the gas storage device is called to replenish the standard mixed gas into the jet device.

[0119] The similarity calculation module 504 specifically includes:

[0120] The deviation calculation unit 5041 is used to compare the target spectrum with the standard spectrum and calculate the target spectrum feature deviation value between the target spectrum and the standard spectrum;

[0121] The determination unit 5042 is used to determine the spectrum similarity corresponding to the target spectrum feature deviation value according to the preset correspondence between the spectrum feature deviation value and the spectrum similarity, and obtain the spectrum similarity between the target spectrum and the standard spectrum.

[0122] In the embodiment of the present invention, the modular design allows the hardware of each part of the calibration device of the remote sensing monitoring host to focus on the realization of a certain function, thereby maximizing the performance of the hardware. At the same time, the modular design also reduces the coupling between the modules of the device, making maintenance more convenient.

[0123] above Figure 4 and Figure 5 The calibration device of the remote sensing monitoring host in the embodiment of the present invention is described in detail from the perspective of modular functional entities. The calibration device of the remote sensing monitoring host in the embodiment of the present invention is described in detail from the perspective of hardware processing.

[0124] Figure 6 : This is a structural diagram of a calibration device for a remote sensing monitoring host provided by an embodiment of the present invention. The calibration device 600 for the remote sensing monitoring host may have relatively large differences due to different configurations or performances, and may include one or more processors (central processing units, CPU) 610 (for example, one or more processors) and a memory 620, and one or more storage media 630 (for example, one or more massive storage devices) for storing application programs 633 or data 632. Among them, the memory 620 and the storage medium 630 can be temporary storage or permanent storage. The program stored in the storage medium 630 may include one or more modules (not shown in the figure), and each module may include a series of instruction operations in the calibration device 600 of the remote sensing monitoring host. Furthermore, the processor 610 can be configured to communicate with the storage medium 630 to execute a series of instruction operations in the storage medium 630 on the calibration device 600 of the remote sensing monitoring host.

[0125] The calibration device 600 of the remote sensing monitoring host may further include one or more power supplies 640, one or more wired or wireless network interfaces 650, one or more input and output interfaces 660, and / or one or more operating systems 631, such as Windows Server, Mac OS X, Unix, Linux, FreeBSD, etc. It will be understood by those skilled in the art that Figure 6The illustrated calibration device structure of the remote sensing monitoring host does not constitute a limitation on the calibration device of the remote sensing monitoring host, and may include more or fewer components than shown in the figure, or a combination of certain components, or a different arrangement of components.

[0126] The present invention also provides a calibration device for a remote sensing monitoring host, which includes a memory and a processor. The memory stores computer-readable instructions. When the computer-readable instructions are executed by the processor, the processor executes the steps of the calibration method of the remote sensing monitoring host in the above-mentioned embodiments.

[0127] The present invention also provides a computer-readable storage medium, which can be a non-volatile computer-readable storage medium or a volatile computer-readable storage medium. The computer-readable storage medium stores instructions, and when the instructions are run on a computer, the computer executes the steps of the calibration method of the remote sensing monitoring host.

[0128] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0129] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk, etc., various media that can store program code.

[0130] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A calibration method for a remote sensing monitoring host of road vehicle exhaust, applied to a remote server, characterized in that: The remote sensing monitoring host includes a light emitting device, a light receiving device, and an air injection device. The calibration method of the remote sensing monitoring host for road vehicle exhaust includes: Invoking the light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and invoking the light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is reflected from the reflective device after entering the reflective device; Performing spectrum detection on the reflected light based on a preset spectrometer to obtain spectrum line data and light intensity data of the reflected light, and drawing a target spectrum graph based on the spectrum line data and the light intensity data; Calculating the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm; If the spectrum similarity is less than a preset threshold, it indicates that the exhaust gas exceeds the standard value, and the jet device is called to spray a standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host; The remote sensing monitoring host further includes a gas storage device for storing a standard mixed gas. If the spectrum similarity is less than a preset threshold, the jet device is called to jet the standard mixed gas along the transmission path of the detection light to calibrate the remote sensing monitoring host. The further method further includes: detecting the gas content of the standard mixed gas in the gas injection device based on a preset frequency; If it is detected that the gas content of the standard mixed gas in the jet device is less than a preset threshold, calling the gas storage device to replenish the standard mixed gas in the jet device; After calling the gas storage device to replenish the standard mixed gas into the jet device, the remote server also regularly detects the gas content of the standard mixed gas in the gas storage device.

2. The calibration method for a remote sensing monitoring host of road vehicle exhaust according to claim 1 is characterized in that: The calculating of the spectrum similarity between the target spectrum and the preset standard spectrum based on the preset similarity algorithm includes: Comparing the target spectrum with the standard spectrum, and calculating a target spectrum characteristic deviation value between the target spectrum and the standard spectrum; According to the preset correspondence between the spectrum feature deviation value and the spectrum similarity, the spectrum similarity corresponding to the target spectrum feature deviation value is determined to obtain the spectrum similarity between the target spectrum and the standard spectrum.

3. The calibration method for a remote sensing monitoring host of road vehicle exhaust according to claim 2 is characterized in that: The comparing the target spectrum with the standard spectrum and calculating the target spectrum characteristic deviation value between the target spectrum and the standard spectrum includes: Performing a spectrum comparison between the target spectrum and the standard spectrum, calculating a first deviation value between a peak and a trough in a first spectrum feature, calculating a second deviation value between a peak and a trough in a second spectrum feature, and calculating a first deviation component between the first deviation value and the second deviation value; Calculating a spectral line offset distance between a spectral line in the first spectral feature and a spectral line in the second spectral feature to obtain a second deviation component; Based on the preset weight of the first deviation component and the preset weight of the second deviation component, the first deviation component and the second deviation component are weightedly summed to obtain a target map feature deviation value between the first map feature and the second map feature.

4. The calibration method for a remote sensing monitoring host of road vehicle exhaust according to claim 1 is characterized in that: The calculating of the spectrum similarity between the target spectrum and the preset standard spectrum based on the preset similarity algorithm includes: Convolving the standard spectrum graph and the target spectrum graph respectively to extract a first spectrum feature vector corresponding to the standard spectrum graph and a second spectrum feature vector corresponding to the target spectrum graph; Based on a preset Euclidean distance function, the first spectrum feature vector and the second spectrum feature vector are calculated to obtain the spectrum similarity between the target spectrum and the standard spectrum.

5. The calibration method for a remote sensing monitoring host of road vehicle exhaust according to claim 1 is characterized in that: Before calling the light emitting device to emit detection light to the reflective device pre-placed on the opposite side of the road, and calling the light receiving device to receive the reflected light corresponding to the detection light, the method further includes: Initiating service connection verification to the remote sensing monitoring host; If the service connection verification is passed, a service connection is established with the remote sensing monitoring host to activate the light emitting device, the light receiving device and the air jet device.

6. The calibration method for a remote sensing monitoring host of road vehicle exhaust according to claim 5, characterized in that: The initiating service connection verification to the remote sensing monitoring host includes: Based on the RSA public key in the preset key pair, the service certificate in the remote sensing monitoring host is verified. If the verification is successful, it is determined that the service connection verification is successful. The preset key pair includes an RSA public key and an RSA private key. The RSA private key is used for certificate signing, and the RSA public key is used for certificate verification.

7. A calibration device for a remote sensing monitoring host of road vehicle exhaust, characterized in that: The remote sensing monitoring host includes a light emitting device, a light receiving device and an air injection device. The calibration device of the remote sensing monitoring host of road vehicle exhaust includes: an optical reaction module, configured to call the light emitting device to emit a detection light toward a reflective device pre-placed on the opposite side of the road, and to call the light receiving device to receive a reflected light corresponding to the detection light, wherein the detection light is reflected from the reflective device after entering the reflective device; a spectrum plotting module, configured to perform spectrum detection on the reflected light based on a preset spectrometer, obtain spectrum line data and light intensity data of the reflected light, and plot a target spectrum plot based on the spectrum line data and the light intensity data; A similarity calculation module is used to calculate the spectrum similarity between the target spectrum and a preset standard spectrum based on a preset similarity algorithm; a host calibration module, configured to, if the spectrum similarity is less than a preset threshold, indicate that the exhaust gas exceeds a standard value, and invoke the jet device to jet a standard mixed gas along the conduction path of the detection light to calibrate the remote sensing monitoring host; The remote sensing monitoring host also includes a gas storage device for storing a standard mixed gas, and a detection module for detecting the gas content of the standard mixed gas in the jet device based on a preset frequency; if it is detected that the gas content of the standard mixed gas in the jet device is less than a preset threshold, the gas storage device is called to replenish the standard mixed gas in the jet device; The detection module is further configured to, after the gas storage device is called to replenish the standard mixed gas into the jet device, cause the remote server to periodically detect the gas content of the standard mixed gas in the gas storage device.

8. A calibration device for a remote sensing monitoring host of road vehicle exhaust, characterized in that: The calibration device of the remote sensing monitoring host of road vehicle exhaust gas comprises: a memory and at least one processor, wherein the memory stores instructions; The at least one processor calls the instructions in the memory to enable the calibration device of the remote sensing monitoring host to execute the calibration method of the remote sensing monitoring host of road motor vehicle exhaust as described in any one of claims 1-6.

9. A computer-readable storage medium having instructions stored thereon, characterized in that: When the instructions are executed by the processor, the calibration method of the remote sensing monitoring host of road motor vehicle exhaust gas according to any one of claims 1 to 6 is implemented.

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