Method, device and equipment for detecting urea injection device crystallization blockage and storage medium

Abstract

Embodiments of the present application disclose a urea injection device crystallization blockage detection method, device, equipment and storage medium. The technical scheme provided by the embodiments of the present application matches target blockage characteristic information in a plurality of blockage characteristic information recorded in a preset database according to multi-modal detection information obtained by multi-modal detection on a urea injection device, wherein different blockage characteristic information corresponds to crystallization blockage characteristics under different crystallization blockage degrees, and the multi-modal detection information includes one or a combination of more of noise detection information, vibration detection information, temperature detection information, pressure detection information and urea concentration detection information, which can accurately reflect the crystallization blockage condition of the urea injection device, and according to the target crystallization blockage characteristics corresponding to the target blockage characteristic information, the crystallization blockage of the urea injection device can be visually displayed, without manual crystallization blockage investigation, thereby effectively improving the crystallization blockage detection efficiency of the urea injection device.

Description

Technical Field

[0001] This application relates to the field of computer technology, and in particular to a method, apparatus, equipment, and storage medium for detecting crystallization blockage in urea injection devices. Background Technology

[0002] To meet nitrogen oxide (NOx) emission requirements, ships typically install selective catalytic reduction (SCR) systems, with urea solution usually serving as the reducing agent. When the operating temperature is below 180°C, or when the system is not in operation for extended periods, liquid residue in the urea injection unit can easily lead to urea crystallization.

[0003] Currently, urea crystallization is typically addressed through preventative measures and post-treatment maintenance. Preventative measures involve purging or flushing the urea injection system with compressed air or fresh water after the system has stopped operating. Post-treatment maintenance involves conducting appropriate repairs and inspections when the system issues alarms (such as high urea pipeline pressure, abnormal flow signals, or excessive nitrogen oxide emissions).

[0004] However, preventative measures significantly increase the workload for crew members, and the pipelines have blind spots, making it difficult for crew members to directly observe the internal conditions and accurately detect crystallization blockage in the urea injection device. As for reactive maintenance, the system is already malfunctioning when an alarm sounds, requiring system shutdown before repairs can be carried out. If the navigation area is within a nitrogen oxide emission control zone, repairs cannot be performed, and the location of urea crystals is unknown, necessitating manual inspection, resulting in low efficiency in detecting crystallization blockage in the urea injection device. Summary of the Invention

[0005] This application provides a method, apparatus, equipment, and storage medium for detecting crystallization blockage in urea injection devices, in order to solve the technical problem of low detection efficiency of crystallization blockage in urea injection devices in related technologies.

[0006] In a first aspect, embodiments of this application provide a method for detecting crystallization blockage in a urea injection device, comprising: The multimodal detection information obtained by performing multimodal detection on the urea injection device includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information and urea concentration detection information; Based on the multimodal detection information, target blockage feature information is matched among multiple blockage feature information recorded in a preset database, wherein different blockage feature information corresponds to crystal blockage features under different degrees of crystal blockage. Based on the target crystallization blockage characteristics corresponding to the target blockage feature information, the crystallization blockage of the urea injection device is visualized.

[0007] In a second aspect, embodiments of this application provide a crystallization blockage detection device for a urea injection unit, comprising a multimodal detection module, a feature matching module, and a blockage display module, wherein: The multimodal detection module is used to acquire multimodal detection information obtained by performing multimodal detection on the urea injection device. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information. The feature matching module is used to match target blockage feature information among multiple blockage feature information recorded in a preset database based on the multimodal detection information, wherein different blockage feature information corresponds to crystal blockage features under different degrees of crystal blockage. The blockage display module is used to visualize the crystallization blockage of the urea injection device based on the target crystallization blockage characteristics corresponding to the target blockage characteristic information.

[0008] In a third aspect, embodiments of this application provide a urea injection device crystallization blockage detection device, including: a memory and one or more processors; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the urea injection device crystallization blockage detection method as described in the first aspect.

[0009] In a fourth aspect, embodiments of this application provide a storage medium storing computer-executable instructions, which, when executed by a computer processor, are used to perform the urea injection device crystallization blockage detection method as described in the first aspect.

[0010] This application embodiment matches target blockage feature information among multiple blockage feature information recorded in a preset database based on multimodal detection information obtained from multimodal detection of the urea injection device. Different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information, which can accurately reflect the crystallization blockage status of the urea injection device. Based on the target crystallization blockage feature corresponding to the target blockage feature information, the crystallization blockage of the urea injection device is visualized, eliminating the need for manual crystallization blockage investigation and effectively improving the detection efficiency of crystallization blockage of the urea injection device. Attached Figure Description

[0011] Figure 1 This is a flowchart of a method for detecting crystallization blockage in a urea injection device provided in an embodiment of this application; Figure 2 This is a flowchart of another method for detecting crystallization blockage in a urea injection device provided in an embodiment of this application; Figure 3 This is a schematic diagram of the structure of a crystallization blockage detection device for a urea injection device provided in an embodiment of this application; Figure 4 This is a schematic diagram of the structure of a urea injection device crystallization blockage detection device provided in an embodiment of this application. Detailed Implementation

[0012] To make the objectives, technical solutions, and advantages of this application clearer, specific embodiments of this application will be described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are merely for explaining this application and not for limiting it. It should also be noted that, for ease of description, only the parts relevant to this application are shown in the drawings, not all of them. Before discussing exemplary embodiments in more detail, it should be mentioned that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe operations (or steps) as sequential processes, many of these operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process can be terminated when its operation is completed, but additional steps not included in the drawings may also be present. The above processes can correspond to methods, functions, procedures, subroutines, subroutines, etc.

[0013] The urea injection device crystallization blockage detection method provided in this application can be applied to the crystallization blockage detection scenario of urea injection devices in ship systems. It aims to perform multimodal detection of urea injection devices and visualize crystallization blockage, thereby improving the detection efficiency of urea injection device crystallization blockage.

[0014] In existing urea injection system urea crystallization treatment solutions, preventative and post-treatment methods are typically employed. Preventative methods increase the workload of crew members, and purging or flushing cannot guarantee complete pipeline cleanliness. There may be blind spots in the cleaning process, making it impossible for personnel to directly observe the internal condition of the pipelines. Flushing time is entirely dependent on individual judgment, making it difficult to detect crystallization blockage in a timely manner, resulting in poor urea crystallization treatment effectiveness. Post-treatment maintenance is performed when relevant alarms from the urea injection system occur, at which point the ship's system is already malfunctioning. Performing maintenance requires shutting down the ship's system. If the ship is navigating in a nitrogen oxide emission control zone, switching to other clean fuels that meet emission standards is necessary. Furthermore, since the specific location of crystallization is unknown, troubleshooting is difficult, and timely detection of crystallization blockage in the urea injection system is impossible. Therefore, this application provides a method for detecting crystallization blockage in a urea injection system, addressing the technical problem of low detection efficiency in existing urea injection system methods.

[0015] Figure 1 A flowchart of a method for detecting crystallization blockage in a urea injection device according to an embodiment of this application is provided. The method for detecting crystallization blockage in a urea injection device according to an embodiment of this application can be executed by a urea injection device crystallization blockage detection device, which can be implemented by hardware and / or software and integrated into a urea injection device crystallization blockage detection equipment.

[0016] The following description uses the urea injection unit crystallization blockage detection device as an example to illustrate the method for detecting crystallization blockage in a urea injection unit. (Reference) Figure 1 The method for detecting crystallization blockage in the urea injection device includes: S110: Obtain multimodal detection information obtained from multimodal detection of the urea injection device. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information.

[0017] For example, a multimodal sensor is used to perform multimodal detection on the urea injection device in real time, acquiring multimodal detection information obtained from the multimodal detection of the urea injection device. The multimodal detection information provided in this application includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information. Correspondingly, the multimodal sensor includes one or more combinations of a noise sensor (e.g., a high-frequency acoustic sensor), a vibration sensor (e.g., an accelerometer), a temperature sensor, a pressure sensor, and a urea concentration sensor. The temperature sensor is used to detect the temperature of the urea solution in the urea injection device; the noise sensor is used to detect the noise of the urea injection device, such as detecting high-frequency noise components related to urea crystallization; the vibration sensor is used to detect the structural vibration of the pipeline and nozzle of the urea injection device; the pressure sensor is used to detect the pipeline pressure of the urea injection device; and the urea concentration sensor is used to detect the concentration of the urea solution in the urea injection device. Optionally, multiple multimodal sensors of each type can be installed at preset distance intervals within the urea injection device to collect multimodal detection information of the urea injection device at different detection locations.

[0018] S120: Based on the multimodal detection information, match the target blockage feature information among multiple blockage feature information recorded in the preset database, where different blockage feature information corresponds to crystal blockage features under different degrees of crystal blockage.

[0019] For example, after obtaining the multimodal detection information obtained by multimodal detection of the urea injection device, the multimodal detection information can be matched with multiple blockage feature information recorded in a preset database to determine the blockage feature information that matches the multimodal detection information, and the matched blockage feature information is determined as the target blockage feature information.

[0020] In one embodiment, matching the target blockage feature information among multiple blockage feature information recorded in a preset database can be done by matching the blockage feature information that is closest to the multimodal detection information in the preset database, or by calculating the similarity between each blockage feature information and the multimodal detection information (e.g., using cosine distance, Euclidean distance, Manhattan distance, etc.) and determining the blockage feature information with the highest similarity as the target blockage feature information.

[0021] In one embodiment, before obtaining the multimodal detection information obtained by multimodal detection of the urea injection device, the urea injection device crystallization blockage detection method provided in this application can also perform multimodal detection on urea injection devices with different degrees of crystallization blockage to obtain blockage feature information corresponding to different degrees of crystallization blockage, and create a preset database based on the blockage feature information. Optionally, the crystallization blockage features provided in this application may be the thickness and area of ​​urea crystals at different locations in the urea injection device.

[0022] For example, multimodal detection is performed on urea injection devices under different degrees of crystallization blockage to obtain different blockage feature information. The different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage. A preset database can be created based on the different blockage feature information and the corresponding crystallization blockage features. Subsequently, the target blockage feature information and the corresponding target crystallization blockage features can be quickly matched according to the preset database, thereby improving the crystallization blockage detection efficiency of urea injection devices.

[0023] S130: Based on the target crystallization blockage characteristics corresponding to the target blockage characteristic information, the crystallization blockage of the urea injection device is visualized.

[0024] For example, after determining the target blockage feature information, the target crystallization blockage feature corresponding to the target blockage feature information can be determined, and the crystallization blockage of the urea injection device can be visualized based on the target crystallization blockage feature corresponding to the target blockage feature information.

[0025] Optionally, the visualization of crystallization blockage can display the target crystallization blockage features at each detection location of the urea injection device, or it can display the target crystallization blockage features at the corresponding locations of each detection location in a pre-created 3D model of the urea injection device. The target crystallization blockage features with different crystallization degrees can be set with different display parameters (e.g., displaying different crystallization degrees through green, yellow, and red).

[0026] The above-mentioned method, by using multimodal detection information obtained from multimodal detection of the urea injection device, matches target blockage feature information among multiple blockage feature information recorded in a preset database. Different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information, which can accurately reflect the crystallization blockage status of the urea injection device. Based on the target crystallization blockage feature corresponding to the target blockage feature information, the crystallization blockage of the urea injection device can be visualized, eliminating the need for manual crystallization blockage investigation and effectively improving the detection efficiency of crystallization blockage of the urea injection device.

[0027] Based on the above embodiments, Figure 2 A flowchart of another method for detecting crystallization blockage in a urea injection device according to an embodiment of this application is provided. This method is a concretization of the above-described method for detecting crystallization blockage in a urea injection device. (Reference) Figure 2 The method for detecting crystallization blockage in the urea injection device includes: S210: Obtain multimodal detection information obtained by performing multimodal detection on the urea injection device. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information.

[0028] In one possible embodiment, the urea injection device crystallization blockage detection method provided in this application can further preprocess the multimodal detection information obtained by multimodal detection of the urea injection device. Optionally, the preprocessing of the multimodal detection information may include filtering, noise reduction, signal alignment, etc.

[0029] Accordingly, based on the multimodal detection information, the target blockage feature information is matched among multiple blockage feature information recorded in a preset database. This can be done by matching the target blockage feature information among multiple blockage feature information recorded in a preset database based on the preprocessed multimodal detection information. Optionally, filtering the multimodal detection information can be done by filtering the noise detection information, retaining the noise information in the noise detection information within a preset frequency range (e.g., frequencies of 50Hz and above) related to crystallization. This application improves the accuracy of the target blockage feature information by preprocessing the multimodal detection information, effectively improving the accuracy of crystallization blockage detection in the urea injection device.

[0030] In one possible embodiment, the urea injection device crystallization blockage detection method provided in this application preprocesses the multimodal detection information, which may include: mapping the multimodal detection information to quantum state information, and determining target noise feature information based on the multimodal detection information; performing noise reduction processing on the quantum state information based on the target noise feature information, and reconstructing the signal from the noise-reduced quantum state information to obtain the noise-reduced multimodal detection information.

[0031] For example, multimodal detection information is continuously acquired, and multiple multimodal detection information within the current preset time window is normalized to normalize the multimodal detection information to the range [0, 1]. The normalized multimodal detection information is then mapped to quantum state information. The mapping method can be amplitude encoding, basis encoding, etc. By mapping the multimodal detection information to quantum state information, urea crystallization-related pulses are concentrated onto a few basis vectors, while noise energy is dispersed across all basis vectors. This allows for accurate extraction of weak transient signals related to urea crystallization, accurate noise reduction of the multimodal detection information, and improved detection accuracy for crystallization blockage in the urea injection device.

[0032] In one embodiment, noise and multimodal operating condition information (including one or more combinations of vibration, temperature, and pressure information) can be collected in advance for the urea injection device under different operating conditions. The collected noise is mapped to quantum state noise information, and noise feature information is generated based on the quantum state noise information and multimodal operating condition information under different operating conditions. After determining the multimodal detection information, the corresponding multimodal operating condition information can be matched according to the multimodal detection information, and the noise feature information corresponding to the matched multimodal operating condition information is determined as the target noise feature information. Optionally, matching the corresponding multimodal operating condition information according to the multimodal detection information can be achieved by calculating the similarity between each multimodal operating condition information and the multimodal detection information, and determining the multimodal operating condition information with the highest similarity as the matched multimodal operating condition information.

[0033] In one embodiment, after determining the target noise feature information, the quantum state information can be denoised based on the target noise feature information, for example, by subtracting the target noise feature information from the quantum state information to obtain the denoised quantum state information. Further, the denoised quantum state information is reconstructed to obtain the denoised multimodal detection information (i.e., the inverse process of mapping multimodal detection information to quantum state information).

[0034] This application maps multimodal detection information to quantum state information, performs noise reduction processing on the quantum state information based on target noise characteristics, and reconstructs the noise-reduced quantum state information to obtain noise-reduced multimodal detection information. This achieves noise reduction processing of multimodal detection information, reduces the impact of noise under different operating conditions on the detection of crystallization blockage in urea injection devices, and improves the accuracy of crystallization blockage detection in urea injection devices.

[0035] S220: Based on multimodal detection information, match target blockage feature information among multiple blockage feature information recorded in a preset database, where different blockage feature information corresponds to crystal blockage features under different degrees of crystal blockage.

[0036] In one possible embodiment, the urea injection device crystallization blockage detection method provided in this application matches target blockage feature information among multiple blockage feature information recorded in a preset database based on multimodal detection information, including: S221: Based on the multimodal detection information and the preset multimodal reference information, determine the multimodal deviation information. The preset multimodal reference information is obtained by performing multimodal detection on a urea injection device that has not experienced crystallization blockage.

[0037] S222: Match the target blockage feature information among multiple blockage feature information recorded in the preset database based on the multimodal deviation information.

[0038] In one embodiment, a multimodal detection can be performed on a urea injection device that has not experienced crystallization blockage in advance to obtain preset multimodal reference information. The preset database provided in this application can record the multimodal deviation values ​​between the blockage feature information and the preset multimodal reference information under different degrees of crystallization blockage. At this time, different multimodal deviation values ​​correspond to crystallization blockage features under different degrees of crystallization blockage.

[0039] For example, after acquiring multimodal detection information obtained from multimodal detection of the urea injection device in real time, the difference between the multimodal detection information and the preset multimodal reference information can be calculated, and this difference can be determined as multimodal deviation information. The multimodal deviation information can be matched against multiple multimodal deviation values ​​recorded in a preset database to determine the multimodal deviation value that matches the multimodal deviation information, and the blockage feature information corresponding to the matched multimodal deviation value can be determined as the target blockage feature information.

[0040] Optionally, the target blockage feature information is matched among multiple blockage feature information recorded in a preset database based on the multimodal deviation information. This can be done by matching the multimodal deviation value in the preset database that is closest to the multimodal deviation information, or by calculating the similarity between each multimodal deviation value and the multimodal deviation information, and determining the blockage feature information corresponding to the multimodal deviation value with the highest similarity as the target blockage feature information. This application determines the multimodal deviation information based on multimodal detection information and preset multimodal reference information, and matches the target blockage feature information in the preset database, which can more stably determine the crystallization blockage state of the current urea injection device and improve the stability of crystallization blockage detection in the urea injection device.

[0041] S230: Based on the target crystallization blockage characteristics corresponding to the target blockage characteristic information, the crystallization blockage of the urea injection device is visualized.

[0042] S240: Based on the multimodal detection information, perform crystallization blockage prediction to obtain crystallization blockage prediction results, and match the predicted blockage feature information among multiple blockage feature information recorded in the preset database based on the crystallization blockage prediction results.

[0043] S250: Based on the predicted crystallization blockage characteristics corresponding to the predicted blockage characteristic information, perform crystallization blockage early warning processing on the urea injection device.

[0044] In one possible embodiment, after acquiring multimodal detection information obtained from multimodal detection of the urea injection device, crystallization blockage prediction can be performed based on the currently acquired and previously acquired multimodal detection information to obtain a crystallization blockage prediction result. Optionally, a pre-trained crystallization blockage prediction model can be used to analyze and process the currently acquired and previously acquired multimodal detection information to obtain a crystallization blockage prediction result.

[0045] In one embodiment, after obtaining the crystallization blockage prediction result, the crystallization blockage prediction result can be matched with multiple blockage feature information recorded in a preset database to determine the blockage feature information that matches the crystallization blockage prediction result, and the matched blockage feature information is determined as the predicted blockage feature information.

[0046] Optionally, the predicted blockage feature information is matched among multiple blockage feature information recorded in the preset database. This can be done by matching the blockage feature information that is closest to the crystallization blockage prediction result in the preset database, or by calculating the similarity between each blockage feature information and the crystallization blockage prediction result, and determining the blockage feature information with the highest similarity as the target blockage feature information.

[0047] After determining the predicted blockage characteristics, the urea injection unit can be subjected to early warning processing for crystallization blockage based on the predicted crystallization blockage characteristics corresponding to the predicted blockage characteristics. For example, when the predicted thickness and / or predicted crystallization area of ​​urea crystals reflected by the predicted blockage characteristics reaches the preset warning thickness and / or warning area, a crystallization blockage warning is issued based on the detection location corresponding to the predicted blockage characteristics to remind staff to handle urea crystals in the urea injection unit in a timely manner. This application utilizes multimodal detection information to capture early crystallization characteristics of the urea injection unit, analyzes the crystallization blockage prediction results of the urea injection unit online, and upgrades the traditional maintenance mode to predictive maintenance to ensure the normal operation of the urea injection unit.

[0048] In one possible embodiment, the urea injection device crystallization blockage detection method provided in this application predicts crystallization blockage based on multimodal detection information to obtain a crystallization blockage prediction result. This can be achieved by: determining multimodal deviation information based on multimodal detection information and preset multimodal reference information, wherein the preset multimodal reference information is obtained by performing multimodal detection on a urea injection device that has not experienced crystallization blockage; and predicting crystallization blockage based on the multimodal deviation information to obtain a crystallization blockage prediction result.

[0049] For example, after acquiring multimodal detection information obtained from multimodal detection of the urea injection device in real time, the difference between the multimodal detection information and the preset multimodal reference information can be calculated, and this difference can be determined as multimodal deviation information. Based on the currently and previously determined multimodal deviation information, crystallization blockage prediction is performed to obtain the multimodal deviation prediction result. Optionally, a pre-trained crystallization blockage prediction model can be used to analyze and process the multiple multimodal deviation information acquired currently and previously to obtain the multimodal deviation prediction result.

[0050] In one embodiment, after obtaining the multimodal deviation prediction result, the multimodal deviation value can be matched with multiple multimodal deviation values ​​recorded in a preset database to determine the multimodal deviation value that matches the multimodal deviation prediction result, and the blockage feature information corresponding to the matched multimodal deviation value is determined as the crystallization blockage prediction result.

[0051] Optionally, the crystallization blockage prediction result is matched with multiple blockage feature information recorded in a preset database based on the multimodal deviation prediction result. This can be done by matching the multimodal deviation value closest to the multimodal deviation prediction result in the preset database, or by calculating the similarity between each multimodal deviation value and the multimodal deviation prediction result, and determining the blockage feature information corresponding to the multimodal deviation value with the highest similarity as the target blockage feature information. This application determines the multimodal deviation information based on multimodal detection information and preset multimodal benchmark information, and performs crystallization blockage prediction based on the multimodal deviation information. This can more stably determine the crystallization blockage prediction result of the current urea injection device, improving the stability of the crystallization blockage early warning of the urea injection device.

[0052] As described above, by using multimodal detection information obtained from multimodal detection of the urea injection device, target blockage feature information is matched among multiple blockage feature information recorded in a preset database. Different blockage feature information corresponds to crystallization blockage characteristics under different degrees of blockage. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information, which can accurately reflect the crystallization blockage status of the urea injection device. Based on the target crystallization blockage feature corresponding to the target blockage feature information, the crystallization blockage of the urea injection device is visualized, eliminating the need for manual crystallization blockage investigation and effectively improving the detection efficiency of crystallization blockage in the urea injection device. Simultaneously, by determining multimodal deviation information based on multimodal detection information and preset multimodal benchmark information, and using this multimodal deviation information to predict crystallization blockage, the prediction result of the current crystallization blockage of the urea injection device can be determined more stably, improving the stability of the urea injection device's crystallization blockage early warning.

[0053] Figure 3 A schematic diagram of a crystallization blockage detection device for a urea injection apparatus provided in an embodiment of this application is given. (Reference) Figure 3 The crystallization blockage detection device for the urea injection device includes a multimodal detection module 31, a feature matching module 32, and a blockage display module 33.

[0054] The multimodal detection module 31 is used to acquire multimodal detection information obtained by performing multimodal detection on the urea injection device. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information. The feature matching module 32 is used to match target blockage feature information among multiple blockage feature information recorded in a preset database based on the multimodal detection information. Different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage. The blockage display module 33 is used to visualize the crystallization blockage of the urea injection device based on the target crystallization blockage feature corresponding to the target blockage feature information.

[0055] The above-mentioned method, by using multimodal detection information obtained from multimodal detection of the urea injection device, matches target blockage feature information among multiple blockage feature information recorded in a preset database. Different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage. The multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information, which can accurately reflect the crystallization blockage status of the urea injection device. Based on the target crystallization blockage feature corresponding to the target blockage feature information, the crystallization blockage of the urea injection device can be visualized, eliminating the need for manual crystallization blockage investigation and effectively improving the detection efficiency of crystallization blockage of the urea injection device.

[0056] In one possible embodiment, the feature matching module 32 matches the target blockage feature information among multiple blockage feature information recorded in a preset database based on multimodal detection information, including: Based on the multimodal detection information and the preset multimodal reference information, the multimodal deviation information is determined. The preset multimodal reference information is obtained by performing multimodal detection on a urea injection device that has not experienced crystallization blockage. The target blockage feature information is matched among multiple blockage feature information recorded in the preset database based on multimodal deviation information.

[0057] In one possible embodiment, the urea injection device crystallization blockage detection device further includes a database creation module, which is used to: perform multimodal detection on urea injection devices with different degrees of crystallization blockage, obtain blockage feature information corresponding to different degrees of crystallization blockage, and create a preset database based on the blockage feature information.

[0058] In one possible embodiment, the urea injection device crystallization blockage detection device further includes an early warning processing module, which is used for: Crystallization blockage prediction is performed based on multimodal detection information to obtain crystallization blockage prediction results; Based on the crystallization blockage prediction results, the predicted blockage feature information is matched among multiple blockage feature information recorded in the preset database; Based on the predicted crystallization blockage characteristics corresponding to the predicted blockage feature information, crystallization blockage early warning processing is performed on the urea injection device.

[0059] In one possible embodiment, the early warning processing module performs crystallization blockage prediction based on multimodal detection information to obtain crystallization blockage prediction results, including: Based on the multimodal detection information and the preset multimodal reference information, the multimodal deviation information is determined. The preset multimodal reference information is obtained by performing multimodal detection on a urea injection device that has not experienced crystallization blockage. Crystallization blockage prediction is performed based on multimodal deviation information to obtain the crystallization blockage prediction results.

[0060] In one possible embodiment, the urea injection device crystallization blockage detection device further includes a pretreatment module, which is used for: Preprocess the multimodal detection information; Accordingly, the feature matching module 32 matches the target blockage feature information among multiple blockage feature information recorded in a preset database based on the multimodal detection information, including: Based on the preprocessed multimodal detection information, the target blockage feature information is matched among multiple blockage feature information recorded in the preset database.

[0061] In one possible embodiment, the preprocessing module preprocesses the multimodal detection information, including: Multimodal detection information is mapped to quantum state information, and target noise feature information is determined based on the multimodal detection information; The quantum state information is denoised based on the target noise characteristics, and the denoised quantum state information is then reconstructed to obtain the denoised multimodal detection information.

[0062] It is worth noting that in the embodiments of the crystallization blockage detection device of the urea injection device described above, the various units and modules included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the protection scope of the embodiments of this application.

[0063] This application also provides a urea injection device crystallization blockage detection device, which can be integrated with the urea injection device crystallization blockage detection device provided in this application. Figure 4 This is a schematic diagram of the structure of a crystallization blockage detection device for a urea injection apparatus provided in an embodiment of this application. (Reference) Figure 4The urea injection device crystallization blockage detection device includes: an input device 43, an output device 44, a memory 42, and one or more processors 41; the memory 42 is used to store one or more programs; when one or more programs are executed by one or more processors 41, the one or more processors 41 implement the urea injection device crystallization blockage detection method provided in the above embodiment. The input device 43, output device 44, memory 42, and processors 41 can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0064] The memory 42, as a computing device readable storage medium, can be used to store software programs, computer-executable programs, and modules, such as the program instructions / modules corresponding to the urea injection device crystallization blockage detection method provided in any embodiment of this application (e.g., the multimodal detection module 31, feature matching module 32, and blockage display module 33 in the urea injection device crystallization blockage detection device). The memory 42 may primarily include a program storage area and a data storage area. The program storage area may store the operating system and at least one application program required for a function; the data storage area may store data created based on the use of the device, etc. Furthermore, the memory 42 may include high-speed random access memory and may also include non-volatile memory, such as at least one disk storage device, flash memory device, or other non-volatile solid-state storage device. In some instances, the memory 42 may further include memory remotely located relative to the processor 41, and these remote memories can be connected to the device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0065] Input device 43 can be used to receive input digital or character information, and to generate key signal inputs related to user settings and function control of the device. Output device 44 may include display devices such as a display screen.

[0066] The processor 41 executes various functional applications and data processing of the device by running software programs, instructions and modules stored in the memory 42, thereby realizing the above-mentioned method for detecting crystallization blockage of the urea injection device.

[0067] The urea injection device crystallization blockage detection device, equipment, and computer provided above can be used to execute the urea injection device crystallization blockage detection method provided in any of the above embodiments, and have corresponding functions and beneficial effects.

[0068] This application embodiment also provides a storage medium for storing computer-executable instructions. When executed by a computer processor, the computer-executable instructions are used to execute the urea injection device crystallization blockage detection method provided in the above embodiment. The urea injection device crystallization blockage detection method includes: acquiring multimodal detection information obtained by performing multimodal detection on the urea injection device, wherein the multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information; matching target blockage feature information among multiple blockage feature information recorded in a preset database based on the multimodal detection information, wherein different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage; and visually displaying the crystallization blockage of the urea injection device based on the target crystallization blockage feature corresponding to the target blockage feature information.

[0069] Storage medium – any type of memory device or storage device. The term “storage medium” is intended to include: mounting media, such as CD-ROMs, floppy disks, or magnetic tape devices; computer system memory or random access memory, such as DRAM, DDR RAM, SRAM, EDO RAM, Rambus RAM, etc.; non-volatile memory, such as flash memory, magnetic media (e.g., hard disks or optical storage); registers or other similar types of memory elements, etc. Storage media may also include other types of memory or combinations thereof. Furthermore, storage media may reside in a first computer system in which a program is executed, or may reside in a different second computer system connected to the first computer system via a network (such as the Internet). The second computer system can provide program instructions to the first computer for execution. The term “storage medium” can include two or more storage media that may reside in different locations (e.g., in different computer systems connected via a network). Storage media may store program instructions (e.g., specifically implemented as a computer program) executable by one or more processors.

[0070] Of course, the computer-executable instructions provided in the embodiments of this application are not limited to the urea injection device crystallization blockage detection method provided above, but can also execute related operations in the urea injection device crystallization blockage detection method provided in any embodiment of this application.

[0071] The urea injection device crystallization blockage detection device, equipment, and storage medium provided in the above embodiments can execute the urea injection device crystallization blockage detection method provided in any embodiment of this application. For technical details not described in detail in the above embodiments, please refer to the urea injection device crystallization blockage detection method provided in any embodiment of this application.

[0072] The above description is merely a preferred embodiment and the technical principles employed in this application. This application is not limited to the specific embodiments provided herein, and various obvious changes, readjustments, and substitutions that can be made by those skilled in the art will not depart from the scope of protection of this application. Therefore, although this application has been described in detail through the above embodiments, this application is not limited to the above embodiments, and may include many other equivalent embodiments without departing from the concept of this application, the scope of which is determined by the scope of the claims.

Claims

1. A method for detecting crystallization blockage in a urea injection device, characterized in that, include: The process involves acquiring multimodal detection information from a urea injection device, including one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information; matching target blockage feature information from multiple blockage feature information recorded in a preset database based on the multimodal detection information, wherein different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage; visualizing crystallization blockage of the urea injection device based on the target crystallization blockage feature corresponding to the target blockage feature information; and matching target blockage feature information from multiple blockage feature information recorded in the preset database based on the multimodal detection information, which includes: determining multimodal deviation information based on the multimodal detection information and preset multimodal reference information, wherein the preset multimodal reference information is obtained by comparing the urea injection device without crystallization blockage. The urea injection device undergoes multimodal detection; based on the multimodal deviation information, target blockage feature information is matched among multiple blockage feature information recorded in a preset database; before obtaining the multimodal detection information obtained from the multimodal detection of the urea injection device, the method further includes: performing multimodal detection on urea injection devices with different degrees of crystallization blockage to obtain blockage feature information corresponding to different degrees of crystallization blockage, and creating a preset database based on the blockage feature information; after obtaining the multimodal detection information obtained from the multimodal detection of the urea injection device, the method further includes: performing crystallization blockage prediction based on the multimodal detection information to obtain a crystallization blockage prediction result; matching predicted blockage feature information among multiple blockage feature information recorded in the preset database based on the crystallization blockage prediction result; and performing crystallization blockage early warning processing on the urea injection device based on the predicted crystallization blockage feature information corresponding to the predicted blockage feature information.

2. The method for detecting crystallization blockage in a urea injection device according to claim 1, characterized in that, The step of predicting crystallization blockage based on the multimodal detection information to obtain a crystallization blockage prediction result includes: determining multimodal deviation information based on the multimodal detection information and preset multimodal reference information, wherein the preset multimodal reference information is obtained by performing multimodal detection on the urea injection device that has not experienced crystallization blockage; and predicting crystallization blockage based on the multimodal deviation information to obtain a crystallization blockage prediction result.

3. The method for detecting crystallization blockage in a urea injection device according to claim 1, characterized in that, After obtaining the multimodal detection information obtained by multimodal detection of the urea injection device, the method further includes: preprocessing the multimodal detection information; correspondingly, matching the target blockage feature information among multiple blockage feature information recorded in the preset database based on the multimodal detection information includes: matching the target blockage feature information among multiple blockage feature information recorded in the preset database based on the preprocessed multimodal detection information.

4. The method for detecting crystallization blockage in a urea injection device according to claim 3, characterized in that, The preprocessing of the multimodal detection information includes: mapping the multimodal detection information to quantum state information, and determining target noise feature information based on the multimodal detection information; performing noise reduction processing on the quantum state information based on the target noise feature information, and reconstructing the signal from the noise-reduced quantum state information to obtain noise-reduced multimodal detection information.

5. A urea injection device crystallization blockage detection device, used to perform the urea injection device crystallization blockage detection method as described in claim 1, characterized in that, The device includes a multimodal detection module, a feature matching module, and a blockage display module. The multimodal detection module acquires multimodal detection information obtained from multimodal detection of the urea injection device. This multimodal detection information includes one or more combinations of noise detection information, vibration detection information, temperature detection information, pressure detection information, and urea concentration detection information. The feature matching module matches target blockage feature information from multiple blockage feature information records in a preset database based on the multimodal detection information. Different blockage feature information corresponds to crystallization blockage features under different degrees of crystallization blockage. The blockage display module visualizes the crystallization blockage of the urea injection device based on the target crystallization blockage feature corresponding to the target blockage feature information.

6. A device for detecting crystallization blockage in a urea injection unit, characterized in that, include: Memory and one or more processors; The memory is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the urea injection device crystallization blockage detection method as described in any one of claims 1 to 4.

7. A storage medium for storing computer-executable instructions, characterized in that, The computer-executable instructions, when executed by a computer processor, are used to perform the urea injection device crystallization blockage detection method as described in any one of claims 1 to 4.

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