Blockchain-based environmental monitoring system

Abstract

The present invention discloses an environmental monitoring system based on blockchain, including a monitoring information binding module, a monitoring module, a tank analysis module and a safety management module. The monitoring information binding module is used to register and bind the identity information of a liquid energy container through blockchain technology. The monitoring module is used to monitor various safety indicators of the liquid energy container. The tank analysis module analyzes whether there is any abnormality on the surface of the tank according to the monitoring data. The safety management module is used to control and manage liquid energy containers with abnormal conditions. The monitoring information binding module, the monitoring module, the tank analysis module and the safety management module are electrically connected to each other. The monitoring information binding module includes an information block establishment module and a registration module. The information block establishment module is used to establish information blocks based on liquid energy containers, and encrypt and transmit historical data of liquid energy containers to blockchain network for storage. The present invention has the characteristics of strong practicality and high security.

Description

Technical Field

[0001] The present invention relates to the field of blockchain technology and environmental monitoring, and specifically to an environmental monitoring system based on blockchain. Background Art

[0002] With the continuous development of science and technology, the application of environmental monitoring systems in various fields has gradually become the focus of attention. Especially in the process of urbanization, people's attention to environmental quality and safety is increasing. Traditional environmental monitoring methods have some shortcomings and cannot meet the needs of accurate monitoring and management of complex environmental conditions.

[0003] In the past few decades, environmental monitoring has mainly focused on the fields of atmosphere, water quality, soil, etc. to ensure the sustainable development of urban and industrial production. However, with the increasing demand for fine-grained, real-time and comprehensive environmental data, traditional monitoring systems are relatively lagging behind. These systems are difficult to effectively respond to changes in user behavior, storage environment, and surface state of the monitored objects, and therefore have certain limitations in ensuring overall environmental safety. In order to solve this problem, combining blockchain technology and advanced environmental monitoring has become an innovative idea. Therefore, designing a blockchain-based environmental monitoring system has become a demand for current technological development. Such a system will help improve the quality of urban life, protect people's lives and property, and make positive contributions to environmental protection. Summary of the invention

[0004] The purpose of the present invention is to provide an environmental monitoring system based on blockchain to solve the problems raised in the above background technology.

[0005] In order to solve the above technical problems, the present invention provides the following technical solutions: a blockchain-based environmental monitoring system, comprising a monitoring information binding module, a monitoring module, a tank analysis module and a safety management module, wherein the monitoring information binding module is used to register and bind the identity information of the liquid energy container through blockchain technology, the monitoring module is used to monitor various safety indicators of the liquid energy container, the tank analysis module analyzes whether there is any abnormality on the surface of the tank according to the monitoring data, and the safety management module is used to control and manage liquid energy containers with abnormal conditions, and the monitoring information binding module, the monitoring module, the tank analysis module and the safety management module are electrically connected to each other.

[0006] According to the above technical solution, the monitoring information binding module includes an information block establishment module and a registration module. The information block establishment module is used to establish information blocks based on liquid energy containers, and encrypt and transmit the historical data of the liquid energy containers to the blockchain network for storage. The registration module is used to register various monitoring result data of the liquid energy containers. The information block establishment module is electrically connected to the registration module.

[0007] According to the above technical solution, the monitoring module includes a behavior monitoring module, an environment monitoring module and a tank monitoring module. The behavior monitoring module is used to monitor the user behavior data of the liquid energy container during use, the environment monitoring module is used to monitor the storage environment information of the liquid energy container during use, and the tank monitoring module is used to monitor the image information of the liquid energy container.

[0008] According to the above technical solution, the tank analysis module includes a feature extraction module, a feature comparison module and an abnormality judgment module. The feature extraction module is used to identify the surface of the liquid energy container tank and extract the identified feature information. The feature extraction module is electrically connected to the feature comparison module. The feature comparison module is used to compare the extracted feature numbers with the tank feature database. The abnormality judgment module is electrically connected to the feature comparison module. The abnormality judgment module is used to judge whether there is an abnormality in the tank based on feature comparison analysis.

[0009] According to the above technical solution, the operating method of the environmental monitoring system includes the following steps:

[0010] Step S1: Establish a blockchain network, and establish information blocks based on liquid energy containers. Obtain monitoring, inspection, and management data of liquid energy containers through a registration module, store them in information blocks, and add them to the blockchain network.

[0011] Step S2: When the liquid energy container arrives at the usage scene and is about to be put into use, a monitoring module is deployed in the usage scene to start monitoring the liquid energy container;

[0012] Step S3: Conduct in-depth analysis and judgment on the liquid energy container tank during the monitoring process;

[0013] Step S4: Acquire monitoring results, and automatically control the early warning triggering of the liquid energy container usage scenario, so that timely early warning management is carried out when abnormal conditions in the liquid energy container are monitored, thereby reducing the possibility of explosion of the liquid energy container.

[0014] According to the above technical solution, step S2 further includes:

[0015] The monitoring modules deployed in the liquid energy container include a behavior monitoring module for the user's use of gas regulations, an environmental monitoring module for the use scenario of the liquid energy container, and a tank monitoring module for the tank condition of the liquid energy container;

[0016] The behavior monitoring module includes a pressure sensing unit arranged at the valve of the liquid energy container. When the liquid energy container is put into use in the use scenario and the value of the pressure sensing unit is detected to change, an electrical signal is triggered to the safety management module;

[0017] The environment monitoring module includes a temperature monitoring unit, a wind speed monitoring unit and a light intensity detection unit. The temperature monitoring unit and the light intensity detection unit are both arranged on the liquid energy container to monitor the ambient temperature and light intensity of the liquid energy container. The wind speed monitoring unit is arranged at the vent in the use scenario of the liquid energy container to monitor the air circulation condition of the environment in which the liquid energy container is located. The environment monitoring module presets temperature, wind speed and light intensity thresholds T, S and N respectively. When one of the conditions that the real-time monitored temperature value is greater than T, the wind speed is less than S or the light intensity is greater than N is met, the environment monitoring module triggers an electrical signal to the safety management module;

[0018] The tank monitoring module includes a high-definition camera module and a light-capturing unit, which are installed around the liquid energy container. It is used to capture the surface condition of the liquid energy container in high definition under strong light conditions, and transmit the monitored data signals to the tank analysis module for in-depth analysis and judgment. When it is analyzed that there is an abnormal condition on the surface of the tank, an electrical signal is triggered and fed back to the safety management module.

[0019] According to the above technical solution, step S3 further includes the following steps:

[0020] Step S31: Obtaining the monitoring and acquisition images of the high-definition camera module and identifying the images;

[0021] Step S32: the feature extraction module captures the identified pixel light signal;

[0022] Step S33: amplifying the pixel light signal through the built-in light amplifier of the feature extraction module and converting it into a digital electrical signal;

[0023] Step S34: Finally, the digital electrical signal set Q corresponding to the pixel number of the monitored tank surface is i Output, where i = 1, 2, ..., n, Q i is the digital electrical signal value corresponding to the pixel numbered i;

[0024] Step S35: Establishing an abnormal feature set database, presetting and storing the average value interval and variance value interval of adjacent digital electrical signal sets of four conditions: "fatigue crack", "pit", "deformation" and "foreign matter adhesion";

[0025] Step S36: sorting and comparing the currently extracted tank features. When there are mean value intervals and variance value intervals that simultaneously meet the four conditions in step S35, the abnormality judgment module outputs an electrical signal.

[0026] According to the above technical solution, step S36 further includes:

[0027] Step S361: sorting the digital electrical signal set of the tank surface currently monitored and extracted, obtaining the numbers of adjacent pixels in the digital electrical signal set whose changes are greater than the threshold g and marking them, and then connecting the adjacent marked pixel points in sequence to form a closed loop;

[0028] Step S362: The pixel numbers in the closed loop are grouped into a new subset, and the average value and variance value of the digital electrical signal values ​​corresponding to the pixel numbers in the subset are calculated;

[0029] Step S363: When the mean value and variance value of the subset both fall within the interval in step S35, the abnormality judgment module analyzes and judges it as an abnormal result, otherwise no abnormal result is found.

[0030] Compared with the prior art, the beneficial effects achieved by the present invention are as follows: the present invention obtains the contour of the abnormal area by identifying and marking the connections in sequence, generates a new subset, and calculates the numerical changes and compares the characteristics in the abnormal area, thereby accurately monitoring the tank body, and timely issues warnings and handles when abnormalities occur in the tank body, thereby greatly improving the safety and reliability of liquid energy container operation and management. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0032] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0033] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0034] See also Figure 1 The present invention provides a technical solution: an environmental monitoring system based on blockchain, including a monitoring information binding module, a monitoring module, a tank analysis module and a safety management module. The monitoring information binding module is used to register and bind the identity information of the liquid energy container through blockchain technology. The monitoring module is used to monitor various safety indicators of the liquid energy container. The tank analysis module analyzes whether there is any abnormality on the surface of the tank according to the monitoring data. The safety management module is used to control and manage the liquid energy container with abnormal conditions. The monitoring information binding module, the monitoring module, the tank analysis module and the safety management module are electrically connected to each other.

[0035] The monitoring information binding module includes an information block establishment module and a registration module. The information block establishment module is used to establish information blocks based on liquid energy containers, encrypt and transmit the historical data of the liquid energy containers to the blockchain network for storage, and the registration module is used to register various monitoring result data of the liquid energy containers. The information block establishment module is electrically connected to the registration module.

[0036] The monitoring module includes a behavior monitoring module, an environment monitoring module and a tank monitoring module. The behavior monitoring module is used to monitor the user behavior data of the liquid energy container during use, the environment monitoring module is used to monitor the storage environment information of the liquid energy container during use, and the tank monitoring module is used to monitor the image information of the liquid energy container itself.

[0037] The tank analysis module includes a feature extraction module, a feature comparison module and an abnormality judgment module. The feature extraction module is used to identify the surface of the liquid energy container tank and extract the identified feature information. The feature extraction module is electrically connected to the feature comparison module. The feature comparison module is used to compare the extracted feature number with the tank feature database. The abnormality judgment module is electrically connected to the feature comparison module. The abnormality judgment module is used to judge whether there is an abnormality in the tank based on feature comparison analysis.

[0038] The operating method of the environmental monitoring system includes the following steps:

[0039] Step S1: Establish a blockchain network, and establish information blocks for each liquid energy container. After obtaining the monitoring, inspection, and management data of the liquid energy container through the registration module, store it in the information block and add it to the blockchain network. Through blockchain technology, the monitoring data is decentralized and stored. All nodes have a complete copy of the data to ensure the transparency and credibility of the data.

[0040] Step S2: When the liquid energy container arrives at the usage scene and is about to be put into use, a monitoring module is deployed in the usage scene to start monitoring the liquid energy container;

[0041] Step S3: Conduct in-depth analysis and judgment on the liquid energy container tank during the monitoring process;

[0042] Step S4: Acquire monitoring results, and automatically control the early warning triggering of the liquid energy container usage scenario, so that timely early warning management is carried out when abnormal conditions in the liquid energy container are monitored, thereby reducing the possibility of explosion of the liquid energy container.

[0043] Step S2 further comprises:

[0044] The monitoring modules deployed in the liquid energy container include a behavior monitoring module for the user's use of gas regulations, an environmental monitoring module for the use scenario of the liquid energy container, and a tank monitoring module for the tank condition of the liquid energy container;

[0045] The behavior monitoring module includes a pressure sensing unit installed at the valve of the liquid energy container. When the liquid energy container is put into use in the use scenario and the value of the pressure sensing unit changes, an electrical signal is triggered to the safety management module; by installing a pressure sensing unit at the gas valve, the user's behavior of privately disassembling the valve can be monitored in real time. When the user privately disassembles and modifies the valve, the pressure sensing unit senses the pressure during the disassembly and modification, and can issue a monitoring alarm in time to avoid dangerous situations caused by the weak safety awareness of departmental users and privately disassembling the valve;

[0046] The environment monitoring module includes a temperature monitoring unit, a wind speed monitoring unit and a light intensity detection unit. The temperature monitoring unit and the light intensity detection unit are both arranged on the liquid energy container to monitor the ambient temperature and light intensity of the liquid energy container. The wind speed monitoring unit is arranged at the vent in the use scenario of the liquid energy container to monitor the air circulation condition of the environment in which the liquid energy container is located. The environment monitoring module presets temperature, wind speed and light intensity thresholds T, S and N respectively. When one of the conditions that the real-time monitored temperature value is greater than T, the wind speed is less than S or the light intensity is greater than N is met, the environment monitoring module triggers an electrical signal to the safety management module; by monitoring the environment in which the liquid energy container is located, the environment monitoring module sends a warning signal to the safety management module. Temperature and light intensity can monitor whether the liquid energy container is in an illegal environment, such as being exposed to the sun or being close to the fire in the kitchen, etc., which is abnormally high temperature. This can effectively prevent the liquefied gas in the liquid energy container from expanding with the temperature under high temperature or exposure. When the liquefied gas expands to a certain extent, it is likely to explode. It also avoids the influence of high temperature on the properties of the liquid energy container, and guarantees the standardized and safe use of the liquid energy container to the greatest extent. Monitoring the ventilation conditions of the environment in which the liquid energy container is located also requires that the liquid energy container is in a well-ventilated environment to reduce the possibility of high gas concentration, difficulty in timely dispersing, and explosion caused by open flames after the liquid energy container leaks.

[0047] The tank monitoring module includes a high-definition camera module and a light-capturing unit, which are installed around the liquid energy container. It is used to capture the surface condition of the liquid energy container tank in high definition under strong light conditions, and transmit the monitored data signal to the tank analysis module for in-depth analysis and judgment. When it is analyzed that there is an abnormal condition on the surface of the tank, the electrical signal is triggered and fed back to the safety management module; thereby, the tank monitoring function can be realized, and timely warning and maintenance can be carried out after the abnormal condition is found in the tank, and hidden dangers can be eliminated from the tank itself, thereby minimizing the occurrence of accidents and greatly improving the safety of the tank.

[0048] Step S3 further comprises the following steps:

[0049] Step S31: Obtaining the monitoring and acquisition images of the high-definition camera module and identifying the images;

[0050] Step S32: The feature extraction module captures the identified pixel light signal; during the acquisition process of the high-definition camera module, the light capturing unit captures light from the acquisition tank, effectively reducing the interference of external factors such as dim light and alternating light-facing and backlighting surfaces on the progress of signal recognition, thereby improving safety;

[0051] Step S33: amplifying the pixel light signal through the built-in light amplifier of the feature extraction module and converting it into a digital electrical signal;

[0052] Step S34: Finally, the digital electrical signal set Q corresponding to the pixel number of the monitored tank surface is i Output, where i = 1, 2, ..., n, Q i is the digital electrical signal value corresponding to the pixel numbered i;

[0053] Step S35: Establishing an abnormal feature set database, presetting and storing the average value interval and variance value interval of adjacent digital electrical signal sets of four conditions: "fatigue crack", "pit", "deformation" and "foreign matter adhesion";

[0054] Step S36: sorting and comparing the currently extracted tank features. When there are mean value intervals and variance value intervals that simultaneously meet the four conditions in step S35, the abnormality judgment module outputs an electrical signal.

[0055] Step S36 further comprises:

[0056] Step S361: sorting the digital electrical signal set of the tank surface currently monitored and extracted, obtaining the numbers of adjacent pixels in the digital electrical signal set whose changes are greater than the threshold g and marking them, and then connecting the adjacent marked pixel points in sequence to form a closed loop;

[0057] Step S362: The pixel numbers in the closed loop are grouped into a new subset, and the average value and variance value of the digital electrical signal values ​​corresponding to the pixel numbers in the subset are calculated;

[0058] Step S363: When the mean and variance values ​​of the subset fall within the interval in step S35, the abnormality judgment module analyzes and judges it as an abnormal result, otherwise it is a result of no abnormality. Under normal conditions, the surface glossiness of the liquid energy container tank body is uniform and smooth, and the deviation of the numerical electrical signal converted by identification is small. When the liquid energy container tank body has abnormalities such as "fatigue cracks", "pits", "deformation", "foreign matter adhesion", etc., the abnormal part and the regular tank body form a large digital electrical signal change. The contour of the abnormal area is obtained by marking and connecting them in sequence, a new subset is generated, and the numerical change in the abnormal area is performed. Calculation and feature comparison are used to accurately monitor the tank body. When abnormalities occur in the tank body, timely warnings and processing are carried out, greatly improving the safety and reliability of liquid energy container operation and management. At the same time, the current liquid energy container information block can be retrieved to obtain the service life and charging and discharging times of the current liquid energy container, and adaptive manual control is used to adjust the preset interval values, that is, the average value interval and variance value interval of the adjacent digital electrical signal set storing the four conditions of "fatigue cracks", "pits", "deformation" and "foreign matter attachment". Therefore, the monitoring and management of liquid energy containers with long service life and high charging and discharging times can be strengthened, and the monitoring flexibility can be improved.

[0059] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0060] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A blockchain-based environmental monitoring system, characterized by: The system includes a monitoring information binding module, a monitoring module, a tank analysis module and a safety management module. The monitoring information binding module is used to register and bind the identity information of the liquid energy container through blockchain technology. The monitoring module is used to monitor various safety indicators of the liquid energy container. The tank analysis module analyzes whether there is any abnormality on the surface of the tank according to the monitoring data. The safety management module is used to control and manage the liquid energy container with abnormal conditions. The monitoring information binding module, the monitoring module, the tank analysis module and the safety management module are electrically connected to each other. The monitoring information binding module includes an information block establishment module and a registration module. The information block establishment module is used to establish information blocks based on liquid energy containers, encrypt and transmit historical data of liquid energy containers to the blockchain network for storage, and the registration module is used to register various monitoring result data of liquid energy containers. The information block establishment module is electrically connected to the registration module; The monitoring module includes a behavior monitoring module, an environment monitoring module and a tank monitoring module. The behavior monitoring module is used to monitor the user behavior data of the liquid energy container during use, the environment monitoring module is used to monitor the storage environment information of the liquid energy container during use, and the tank monitoring module is used to monitor the image information of the liquid energy container body; The tank analysis module includes a feature extraction module, a feature comparison module and an abnormality judgment module. The feature extraction module is used to identify the surface of the liquid energy container tank and extract the identified feature information. The feature extraction module is electrically connected to the feature comparison module. The feature comparison module is used to compare the extracted feature number with the tank feature database. The abnormality judgment module is electrically connected to the feature comparison module. The abnormality judgment module is used to judge whether there is an abnormality in the tank according to the feature comparison analysis. The operating method of the environmental monitoring system comprises the following steps: Step S1: Establish a blockchain network, and establish information blocks based on liquid energy containers. Obtain monitoring, inspection, and management data of liquid energy containers through a registration module, store them in information blocks, and add them to the blockchain network. Step S2: When the liquid energy container arrives at the usage scene and is about to be put into use, a monitoring module is deployed in the usage scene to start monitoring the liquid energy container; Step S3: Conduct in-depth analysis and judgment on the liquid energy container tank during the monitoring process; Step S4: Obtain monitoring results, and automatically control the early warning triggering of the liquid energy container usage scenario, so that when abnormal conditions in the liquid energy container are detected, early warning management is carried out in a timely manner to reduce the possibility of explosion of the liquid energy container; The step S2 further comprises: The monitoring modules deployed in the liquid energy container include a behavior monitoring module for the user's use of gas regulations, an environmental monitoring module for the use scenario of the liquid energy container, and a tank monitoring module for the tank condition of the liquid energy container; The behavior monitoring module includes a pressure sensing unit arranged at the valve of the liquid energy container. When the liquid energy container is put into use in the use scenario and the value of the pressure sensing unit is detected to change, an electrical signal is triggered to the safety management module; The environment monitoring module includes a temperature monitoring unit, a wind speed monitoring unit and a light intensity detection unit. The temperature monitoring unit and the light intensity detection unit are both arranged on the liquid energy container to monitor the ambient temperature and light intensity of the liquid energy container. The wind speed monitoring unit is arranged at the vent in the use scenario of the liquid energy container to monitor the air circulation condition of the environment in which the liquid energy container is located. The environment monitoring module presets temperature, wind speed and light intensity thresholds T, S and N respectively. When one of the conditions that the real-time monitored temperature value is greater than T, the wind speed is less than S or the light intensity is greater than N is met, the environment monitoring module triggers an electrical signal to the safety management module; The tank monitoring module includes a high-definition camera module and a light-capturing unit, which are installed around the liquid energy container. It is used to take high-definition photos of the surface conditions of the liquid energy container in strong light conditions, and transmit the monitored data signals to the tank analysis module for in-depth analysis and judgment. When the analysis determines that there is an abnormal condition on the tank surface, the electrical signal triggers feedback to the safety management module; The step S3 further comprises the following steps: Step S31: Obtaining the monitoring and acquisition images of the high-definition camera module and identifying the images; Step S32: the feature extraction module captures the identified pixel light signal; Step S33: amplifying the pixel light signal through the built-in light amplifier of the feature extraction module and converting it into a digital electrical signal; Step S34: Finally, the digital electrical signal set corresponding to the pixel number of the monitored tank surface is Output, where , is the digital electrical signal value corresponding to the pixel numbered i; Step S35: Establish an abnormal feature set database, preset and store the average value interval and variance value interval of adjacent digital electrical signal sets of four conditions: "fatigue crack", "pit", "deformation" and "foreign matter adhesion"; Step S36: sorting and comparing the currently extracted tank features. When there are mean value intervals and variance value intervals that simultaneously meet the four conditions in step S35, the abnormality judgment module outputs an electrical signal.

2. The blockchain-based environmental monitoring system according to claim 1, characterized in that: The step S36 further comprises: Step S361: sorting the digital electrical signal set of the tank surface currently monitored and extracted, obtaining the numbers of adjacent pixels in the digital electrical signal set whose changes are greater than the threshold g and marking them, and then connecting the adjacent marked pixel points in sequence to form a closed loop; Step S362: The pixel numbers in the closed loop are grouped into a new subset, and the average value and variance value of the digital electrical signal values ​​corresponding to the pixel numbers in the subset are calculated; Step S363: When the mean value and variance value of the subset both fall within the interval in step S35, the abnormality judgment module analyzes and judges it as an abnormal result, otherwise no abnormal result is found.

Images