Hydrogen ammonia alcohol full-chain intelligent monitoring and safety control system

Abstract

The application relates to the field of power supply safety, in particular to a hydrogen ammonia alcohol full-chain intelligent monitoring and safety management and control system, which comprises a core processing module, a data storage module and a management and control unit connected to the output end of the core processing module, a receiving module connected to the input end of the data storage module, a transmission module connected to the input end of the receiving module, a monitoring unit connected to the input end of the transmission module, the data storage module being used for storing data, the monitoring unit being used for monitoring the preparation and storage and transportation of hydrogen ammonia alcohol, the transmission module being used for transmitting the monitored data, the receiving module being used for receiving the transmitted data, and the management and control unit being used for managing the storage of hydrogen ammonia alcohol. The safety management and control strength is increased, the green preparation and large-scale application process of hydrogen ammonia alcohol are ensured, and the labor intensity of workers is reduced.

Description

Technical Field

[0001] This invention relates to the field of power supply safety, and in particular to a whole-chain intelligent monitoring and safety management system for hydrogen ammonia. Background Technology

[0002] Relying on wind and solar renewable energy as the core power source, the solar and wind energy is captured by photovoltaic panels and wind turbines and converted into electrical energy. The converted electrical energy is used to drive equipment to produce hydrogen ammonia. The produced hydrogen ammonia is then transported through pipelines to storage tanks for storage, awaiting subsequent power generation.

[0003] However, in the entire process of preparation and storage of hydrogen ammonia, the weak safety control measures make it difficult to take immediate action when leaks occur during the pipeline transportation of hydrogen ammonia to storage tanks. Furthermore, the complex network of multiple branches makes it difficult for staff to quickly locate and address the leaks, ultimately leading to the widespread diffusion of hydrogen ammonia and causing significant safety hazards. This severely restricts the green preparation and large-scale application of hydrogen ammonia. Summary of the Invention

[0004] The purpose of this invention is to address the shortcomings of the prior art by proposing a whole-chain intelligent monitoring and safety management system for hydroamino alcohol.

[0005] To achieve the above objectives, the technical solution adopted by this invention is as follows: a whole-chain intelligent monitoring and safety management system for hydroamine, comprising a core processing module, an output terminal of which is connected to a data storage module and a management unit, an input terminal of which is connected to a receiving module, an input terminal of which is connected to a transmission module, and an input terminal of which is connected to a monitoring unit. The data storage module is used to store data, the monitoring unit is used to monitor the preparation and storage and transportation of hydroamine, the transmission module is used to transmit the monitored data, the receiving module is used to receive the transmitted data, the management unit is used to manage the storage of hydroamine, and the input terminal of the data storage module is also connected to an early warning unit and an identification unit.

[0006] Preferably, the early warning unit is used to identify and mark the leak location, the identification unit is used to identify monitoring data, and the input end of the data storage module is also connected to an encryption module, which is used to encrypt the data.

[0007] Preferably, the monitoring unit includes a component detection module, an equipment detection module, an infrared detection module, and a pressure detection module. The component detection module is used to detect the purity of the raw materials used to prepare hydroammonium, the equipment detection module is used to detect the operating parameters of the equipment used to prepare hydroammonium, and the pressure detection module is used to detect the pressure in the hydroammonium delivery pipeline and storage tank.

[0008] Preferably, the monitoring unit further includes a temperature detection module, which is used to detect the temperature of the hydroammonium delivery pipeline and storage tank, and the infrared detection module is used to detect whether there is any leakage in the hydroammonium delivery pipeline and storage tank through infrared imaging technology.

[0009] Preferably, the identification unit includes an operation identification module and a storage and transportation identification module. The output terminals of the operation identification module and the storage and transportation identification module are both connected to identification normal and identification abnormal. The operation identification module is used to identify and analyze the detection data of the component detection module and the equipment detection module. The storage and transportation identification module is used to identify and analyze the detection data of the pressure detection module and the temperature detection module. Identification normal indicates that the detected data is normal, and identification abnormal indicates that the detected data is abnormal and issues an abnormal alarm to prompt the staff to handle it.

[0010] Preferably, the early warning unit includes an image recognition module, the input of which is connected to a location locking module, the output of which is connected to an analysis module, and the output of which is connected to a command issuing module. The image recognition module is used to identify and analyze the location of the leak in the infrared detection image, the location locking module is used to mark the location of the leak, the analysis module is used to analyze whether the leak is a pipeline leak or a storage tank leak based on the marked location, and the command issuing module is used to issue control commands based on the marked location and the analysis results.

[0011] Preferably, the output end of the instruction issuing module is connected to a steering module, the output end of the steering module is connected to a light source terminal, and the output end of the instruction issuing module is also connected to a shut-off module and an emergency module. The steering module is used to control the light source terminal to turn to the corresponding position on site according to the position of the mark. The light source terminal is used to emit colored light to illuminate the marked position. The shut-off module is used to close the valves around the pipeline according to the marked position. The emergency module is used to transfer the hydroammonium in the leaking storage tank to the emergency storage tank for temporary storage when the analysis result indicates that the storage tank is leaking.

[0012] Preferably, the control unit includes a capacity detection module. The output of the capacity detection module is connected to a storage full and a storage not full terminal. The storage full terminal is connected to a transfer module. The capacity detection module is used to detect the storage capacity of the hydroammonium storage tank. The storage full terminal indicates that the storage capacity of the hydroammonium in the storage tank is full, and the storage not full terminal indicates that the storage capacity of the hydroammonium in the storage tank is not full. The transfer module is used to switch pipelines to transfer the hydroammonium to an empty storage tank for storage when the storage tank capacity is full.

[0013] Compared with the prior art, the present invention has the following beneficial effects:

[0014] 1. Under the action of the infrared detection module, infrared imaging technology is used to detect whether there are leaks in the pipelines and storage tanks for hydrogen ammonia. In conjunction with the early warning unit, the image recognition module identifies and analyzes the location of the leak in the infrared detection image. The location locking module is used to mark the location of the leak. The analysis module analyzes the location based on the marked position to determine whether it is a pipeline leak or a storage tank leak. The command issuing module issues control commands based on the marked position and analysis results. The steering module controls the light source terminal to turn to the corresponding position on site based on the marked position. The light source terminal emits colored light to illuminate the marked position. The shut-off module closes the valves around the pipeline based on the marked position. The emergency module, based on the analysis results, is used to release the leaking liquid if the leak is detected in a storage tank. The hydrogen ammonia in the storage tank is transferred to an emergency storage tank for temporary storage. In the event of a leak, if the leak point is at a pipeline, the valve at that pipeline will be closed to seal the pipeline; if the leak point is at the storage tank, the pipeline entering the storage tank will be closed, and the hydrogen ammonia in the leaking storage tank will be transferred to the emergency storage tank for temporary storage. This allows for immediate response to leaks, preventing large-scale hydrogen ammonia leaks, reducing safety hazards, and strengthening safety control. At the same time, colored light is used to simultaneously illuminate the leak location on site, guiding personnel to quickly locate and handle the leak, thus rapidly controlling the leak risk and further reducing safety hazards. This strengthens safety control and ensures the green preparation and large-scale application of hydrogen ammonia.

[0015] 2. The control unit uses a capacity detection module to monitor the storage capacity of the hydroammonium storage tank. A "full" status indicates that the storage capacity is reached, while a "not full" status indicates that the storage capacity is not yet full. A transfer module switches pipelines to transfer the hydroammonium to an empty tank when the tank is full. This automatic switching to an empty tank ensures continued storage when the tank is full. Through automated control, this prevents the continuous influx of hydroammonium due to delayed personnel intervention when the tank is full, which could lead to increased pressure and safety hazards. This reduces the workload of staff and strengthens safety management. Attached Figure Description

[0016] Figure 1This is a schematic diagram of a whole-chain intelligent monitoring and safety management system for hydroamine alcohols according to the present invention;

[0017] Figure 2 This is a schematic diagram of the monitoring unit of a whole-chain intelligent monitoring and safety management system for hydrogen ammonia and alcohol, as described in this invention.

[0018] Figure 3 This is a schematic diagram of the early warning unit of the intelligent monitoring and safety management system for the entire chain of hydroamine alcohols according to the present invention;

[0019] Figure 4 This is a schematic diagram of the control unit of a whole-chain intelligent monitoring and safety management system for hydroamine alcohols according to the present invention. Detailed Implementation

[0020] The following description is intended to disclose the invention and enable those skilled in the art to implement it. The preferred embodiments described below are merely examples, and other obvious variations will occur to those skilled in the art.

[0021] like Figures 1-4 The system illustrates a comprehensive intelligent monitoring and safety management system for hydroamine, comprising a core processing module. The output of the core processing module is connected to a data storage module and a management unit. The input of the data storage module is connected to a receiving module, which in turn is connected to a transmission module. The input of the transmission module is connected to a monitoring unit. The data storage module stores data, the monitoring unit monitors the preparation and storage / transportation of hydroamine, the transmission module transmits the monitored data, the receiving module receives the transmitted data, and the management unit manages the storage of hydroamine. The input of the data storage module is also connected to an early warning unit and an identification unit.

[0022] The early warning unit is used to identify and mark the leak location, the identification unit is used to identify the monitoring data, and the input end of the data storage module is also connected to an encryption module, which is used to encrypt the data.

[0023] The monitoring unit includes a component detection module, an equipment detection module, an infrared detection module, and a pressure detection module. The component detection module is used to detect the purity of the raw materials used to prepare hydroammonium, the equipment detection module is used to detect the operating parameters of the equipment used to prepare hydroammonium, and the pressure detection module is used to detect the pressure in the hydroammonium delivery pipeline and storage tank.

[0024] The monitoring unit also includes a temperature detection module, which is used to detect the temperature of the hydroammonium delivery pipeline and storage tank, and an infrared detection module, which is used to detect whether there is any leakage in the hydroammonium delivery pipeline and storage tank through infrared imaging technology.

[0025] The identification unit includes an operational identification module and a storage and transportation identification module. Both the operational and storage and transportation identification modules have output terminals connected to "Identification Normal" and "Identification Abnormal" indicators. The operational identification module analyzes and identifies the detection data from the component detection module and the equipment detection module. "Identification Normal" indicates that the detection data is normal, while "Identification Abnormal" indicates that the detection data is abnormal and issues an alarm to prompt personnel for handling. The storage and transportation identification module analyzes and identifies the detection data from the pressure detection module and the temperature detection module. The storage and transportation identification module uses a wavelet transform algorithm for identification and analysis. The wavelet transform algorithm model is as follows:

[0026] I. Core Objectives

[0027] The raw monitoring signals collected by the pressure detection module and the temperature detection module The system decomposes and separates effective signals (such as normal pressure fluctuations and temperature changes) from noise signals (such as electromagnetic interference and equipment vibration noise), while retaining key abnormal features such as leakage and overpressure.

[0028] II. Formula Model

[0029] ①Signal decomposition

[0030] Discrete wavelet transform (DWT) is selected to adapt to the system's real-time requirements, transforming the original signal... Decomposed into approximate components (Low frequencies, corresponding to the main trend of the signal) and detail components (High frequency, corresponding to noise and anomalous changes):

[0031] In the formula:

[0032] These are low-pass filter coefficients (such as Haar wavelet basis function coefficients, which are simple to calculate and suitable for industrial applications).

[0033] These are the coefficients of the high-pass filter;

[0034] The number of decomposition layers is typically chosen (usually 2-3 layers, balancing noise reduction and computational efficiency).

[0035] ②Threshold noise reduction processing

[0036] High-frequency detail components Set threshold Remove wavelet coefficients corresponding to noise and retain effective coefficients of anomalous changes:

[0037]

[0038] threshold It can be configured according to the monitoring scenario, such as in the pressure monitoring of liquid ammonia storage tanks. Take 1.5 times the normal pressure fluctuation range.

[0039] ③ Signal reconstruction

[0040] Use the processed approximate components With detail Perform inverse wavelet transform to obtain the denoised clean signal. :

[0041] III. Algorithm Application Logic

[0042] Taking liquid ammonia pipeline pressure monitoring as an example:

[0043] Raw signal: The pressure data collected by the sensor includes pump vibration noise, which manifests as high-frequency spikes;

[0044] Decomposition: After two layers of Haar wavelet decomposition, the approximate components reflect the steady-state trend of pipeline pressure, while the detailed components contain the pressure drop spikes caused by noise and leakage.

[0045] Threshold filtering: Remove small-coefficient noise and retain large coefficients corresponding to sudden pressure drops;

[0046] Reconstructed output: The noise-reduced signal can clearly identify leakage characteristics and trigger system early warning.

[0047] The early warning unit includes an image recognition module, an input terminal of which is connected to a location locking module, an output terminal of which is connected to an analysis module, and an output terminal of which is connected to a command issuing module. The image recognition module is used to identify and analyze the location of the leak in the infrared detection image, the location locking module is used to mark the location of the leak, the analysis module is used to analyze whether the leak is a pipeline leak or a storage tank leak based on the marked location, and the command issuing module is used to issue control commands based on the marked location and the analysis results.

[0048] The output of the instruction issuing module is connected to a steering module, the output of the steering module is connected to a light source terminal, the output of the instruction issuing module is also connected to a shut-off module and an emergency module. The steering module is used to control the light source terminal to turn to the corresponding position on site according to the position of the mark. The light source terminal is used to emit colored light to illuminate the marked position. The shut-off module is used to close the valves around the pipeline according to the marked position. The emergency module is used to transfer the hydrogen ammonia in the leaking storage tank to the emergency storage tank for temporary storage when the analysis results indicate that the storage tank is leaking.

[0049] The control unit includes a capacity detection module. The output of the capacity detection module is connected to a full storage and a not full storage. The full storage output is connected to a transfer module. The capacity detection module is used to detect the capacity of the hydrogen ammonia storage tank. The full storage indicates that the storage capacity of the hydrogen ammonia in the tank is full, and the not full storage indicates that the storage capacity of the hydrogen ammonia in the tank is not full. The transfer module is used to switch pipelines to transfer the hydrogen ammonia to an empty storage tank for storage when the storage tank capacity is full.

[0050] In summary, the infrared detection module uses infrared imaging technology to detect leaks in the pipelines and storage tanks carrying hydrogen ammonia. Combined with an early warning unit, the image recognition module identifies and analyzes the leak location in the infrared images. The location locking module marks the leak location, the analysis module analyzes whether the leak is in the pipeline or the storage tank, the command issuing module issues control commands based on the marked location and analysis results, the steering module controls the light source terminal to turn to the corresponding location on-site, and the light source terminal emits colored light to illuminate the marked location, the shut-off module closes the valves around the pipeline based on the marked location, and the emergency module, based on the analysis results, transfers the hydrogen ammonia in the leaking tank to an emergency storage tank for temporary storage. Therefore, in the event of a leak, if the leak point is in the pipeline, the valves in that pipeline are closed to seal the pipeline; if the leak point is in the storage tank, the pipeline leading to the storage tank is closed, and the hydrogen ammonia in the leaking tank is transferred to the emergency storage tank for temporary storage. The system responds immediately to prevent large-scale leaks of hydroammonium, reducing safety hazards and strengthening safety control. Simultaneously, colored light is used to illuminate the leak location, guiding personnel to quickly locate and address the issue, thus rapidly controlling the leak risk and further minimizing safety risks. This ensures the green production and large-scale application of hydroammonium. The control unit uses a capacity detection module to monitor the storage tank capacity. A "full" status indicates the tank is full, while a "not full" status indicates it is not. A transfer module switches pipelines to transfer hydroammonium to empty tanks when a full tank is reached. This automatic switching to empty tanks prevents continuous hydroammonium inflow and increased pressure when a full tank is reached, thus reducing worker workload and strengthening safety control.

[0051] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A whole-chain intelligent monitoring and safety management system for hydroamino alcohol, comprising a core processing module, characterized in that: The core processing module's output is connected to a data storage module and a control unit. The data storage module's input is connected to a receiving module, the receiving module's input is connected to a transmission module, and the transmission module's input is connected to a monitoring unit. The data storage module stores data, the monitoring unit monitors the preparation and storage of hydroammonium, the transmission module transmits the monitored data, the receiving module receives the transmitted data, and the control unit manages the storage of hydroammonium. The data storage module's input is also connected to an early warning unit and an identification unit.

2. The intelligent monitoring and safety management system for the entire hydroamino alcohol chain according to claim 1, characterized in that: The early warning unit is used to identify and mark the leak location, the identification unit is used to identify the monitoring data, and the input end of the data storage module is also connected to an encryption module, which is used to encrypt the data.

3. The intelligent monitoring and safety management system for the entire hydroamino alcohol chain according to claim 1, characterized in that: The monitoring unit includes a component detection module, an equipment detection module, an infrared detection module, and a pressure detection module. The component detection module is used to detect the purity of the raw materials used to prepare hydroammonium, the equipment detection module is used to detect the operating parameters of the equipment used to prepare hydroammonium, and the pressure detection module is used to detect the pressure in the hydroammonium delivery pipeline and storage tank.

4. The intelligent monitoring and safety management system for the entire hydroamino alcohol chain according to claim 3, characterized in that: The monitoring unit also includes a temperature detection module, which is used to detect the temperature of the hydroammonium delivery pipeline and storage tank, and an infrared detection module, which is used to detect whether there is any leakage in the hydroammonium delivery pipeline and storage tank through infrared imaging technology.

5. The intelligent monitoring and safety management system for the entire hydroamino alcohol chain according to claim 4, characterized in that: The identification unit includes an operation identification module and a storage and transportation identification module. The output terminals of both the operation identification module and the storage and transportation identification module are connected to identification normal and identification abnormal. The operation identification module is used to identify and analyze the detection data of the component detection module and the equipment detection module. The storage and transportation identification module is used to identify and analyze the detection data of the pressure detection module and the temperature detection module. Identification normal indicates that the detected data is normal, and identification abnormal indicates that the detected data is abnormal and issues an abnormal alarm to prompt the staff to handle it.

6. The intelligent monitoring and safety management system for the entire hydroamino alcohol chain according to claim 1, characterized in that: The early warning unit includes an image recognition module. The input end of the image recognition module is connected to a location locking module, the output end of the location locking module is connected to an analysis module, and the output end of the analysis module is connected to a command issuing module. The image recognition module is used to identify and analyze the location of the leak in the infrared detection image. The location locking module is used to mark the location of the leak. The analysis module is used to analyze whether the leak is a pipeline leak or a storage tank leak based on the marked location. The command issuing module is used to issue control commands based on the marked location and the analysis results.

7. The intelligent monitoring and safety management system for the entire hydroamino alcohol chain according to claim 6, characterized in that: The output of the instruction issuing module is connected to a steering module, the output of the steering module is connected to a light source terminal, and the output of the instruction issuing module is also connected to a shut-off module and an emergency module. The steering module is used to control the light source terminal to turn to the corresponding position on site according to the position of the mark. The light source terminal is used to emit colored light to illuminate the marked position. The shut-off module is used to close the valves around the pipeline according to the marked position. The emergency module is used to transfer the hydroammonium in the leaking storage tank to the emergency storage tank for temporary storage when the analysis result indicates that the storage tank is leaking.

8. The intelligent monitoring and safety management system for the entire chain of hydroamino alcohols according to claim 1, characterized in that: The control unit includes a capacity detection module. The output of the capacity detection module is connected to a storage full and a storage not full terminal. The storage full terminal is connected to a transfer module. The capacity detection module is used to detect the capacity of the hydroammonium storage tank. The storage full terminal indicates that the storage capacity of the hydroammonium in the tank is full, and the storage not full terminal indicates that the storage capacity of the hydroammonium in the tank is not full. The transfer module is used to switch pipelines to transfer the hydroammonium to an empty storage tank for storage when the storage tank capacity is full.

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