Method, system, equipment and medium for monitoring steam-water leakage in instrument heat preservation box

Abstract

The invention discloses a steam-water leakage monitoring method, system, equipment and medium in an instrument thermal insulation box, and belongs to the technical field of steam-water monitoring, and the method comprises the steps: obtaining a temperature and humidity data set in the instrument thermal insulation box; performing data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determining verified temperature data and humidity data according to the temperature data and the humidity data; according to the verified temperature data and humidity data, steam-water leakage judgment is carried out, and the steam-water leakage state in the instrument heat preservation box is determined; and performing steam-water system leakage grading alarm based on the steam-water leakage state. The method has the advantages that the leakage level is determined by analyzing the amplitude and the change rate of the temperature and humidity data, the leakage level can be judged according to the temperature and humidity combined change mode, graded early warning is achieved, equipment damage and accident expansion are avoided, and the detection precision and the response efficiency of instrument heat preservation box steam-water leakage monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of steam-water monitoring, and in particular to a method, system, equipment and medium for monitoring steam-water leakage in an instrument insulation box. Background Art

[0002] Traditional monitoring of instrument insulated boxes relies primarily on regular manual inspections and simple temperature alarm devices, which have significant limitations in monitoring accuracy, response speed, and intelligence. In recent years, with the continuous advancement of sensor technology, wireless communication technology, and data processing technology, the field of industrial monitoring has gradually developed towards intelligence, networking, and precision. Existing monitoring technologies mainly include temperature monitoring based on thermocouples, humidity detection based on resistive sensors, and centralized monitoring systems using wired transmission. Some advanced monitoring systems have begun to introduce infrared sensing technology and wireless transmission functions, enabling remote data collection and basic alarm functions. At the same time, the development of Industrial Internet of Things technology has provided a new technical path for equipment status monitoring. Through sensor networks and cloud computing platforms, multi-point distributed monitoring and centralized data processing can be achieved. However, when applied to special closed environments such as instrument insulated boxes, these existing technologies still face problems such as insufficient monitoring accuracy, limited intelligent analysis capabilities, and a single alarm mechanism, making it difficult to meet the actual needs of modern industry for accurate, timely, and intelligent gas and water leak monitoring.

[0003] Existing instrument insulation box steam and water leakage monitoring technology still has many shortcomings: First, the traditional manual inspection method has obvious time delays and is affected by human factors, which makes continuous monitoring impossible and easily misses early signs of leakage; second, existing monitoring methods mostly use single parameter monitoring, relying only on one indicator of temperature or humidity for judgment, lacking multi-dimensional data fusion analysis, resulting in a high false alarm rate and a high risk of missed reports; third, existing technologies lack intelligent data processing capabilities, and are unable to accurately judge the degree of leakage based on the temperature and humidity change characteristics and change rates, making it difficult to distinguish different levels of leakage status; finally, the traditional alarm mechanism is too simple, usually only having two states: alarm and no alarm, and cannot be graded according to the severity of the leak, resulting in improper emergency response, either overreaction resulting in waste of resources, or insufficient response delaying the time of treatment. These technical defects are particularly prominent under conditions where the unit is frequently started and stopped, and cannot effectively prevent equipment damage and safety accidents caused by steam and water leakage. Summary of the Invention

[0004] In view of the above-mentioned problems, the present invention is proposed.

[0005] Therefore, the technical problem solved by the present invention is: how to solve the problems of low monitoring accuracy, low intelligence and single alarm mechanism in the existing technology by integrating infrared temperature and humidity sensors, intelligent data acquisition and processing, leakage judgment and graded alarm mechanism based on change rate analysis, so as to achieve early detection, accurate judgment and early warning of abnormal leakage of steam and water in the instrument insulation box.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a method for monitoring steam-water leakage in an instrument insulation box, comprising:

[0007] Acquire a temperature and humidity data set in an instrument insulation box; perform data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determine verified temperature data and humidity data based on the temperature data and the humidity data; perform steam and water leakage judgment based on the verified temperature data and humidity data to determine the steam and water leakage status in the instrument insulation box; and perform a steam and water system leakage classification alarm based on the steam and water leakage status.

[0008] As a preferred solution of the method for monitoring steam-water leakage in an instrument insulation box described in the present invention, wherein: data classification processing is performed based on the temperature and humidity data set to obtain temperature data and humidity data, and the verified temperature data and humidity data are determined based on the temperature data and the humidity data, including: processing the temperature and humidity data set to obtain temperature data and humidity data; encrypting and verifying the temperature data and the humidity data to obtain verified temperature data and humidity data.

[0009] As a preferred solution of the method for monitoring steam and water leakage in an instrument insulation box described in the present invention, wherein: steam and water leakage is judged based on the verified temperature data and humidity data, and the steam and water leakage status in the instrument insulation box is determined, including: determining the temperature change characteristics and humidity change characteristics based on the verified temperature data and humidity data; judging the steam and water leakage status in combination with the temperature change characteristics and the humidity change characteristics to obtain the leakage level of the steam and water leakage status.

[0010] As a preferred embodiment of the method for monitoring steam and water leaks within an instrument insulation box described in the present invention, a graded alarm for steam and water system leaks based on the steam and water leakage status is performed, including: determining an alarm level based on the leakage level of the steam and water leakage status; and generating alarm information based on the alarm level. The beneficial effect of this preferred technical solution is that by establishing a correspondence between leakage levels and alarm levels and generating differentiated alarm information, it is possible to achieve precise graded responses and personalized handling guidance for steam and water leaks of varying severity, effectively avoiding the waste of resources or inappropriate responses caused by traditional single alarm modes, and improving the targetedness and efficiency of emergency response.

[0011] As a preferred solution of the method for monitoring steam-water leakage in an instrument insulation box described in the present invention, the temperature and humidity data set is processed to obtain temperature data and humidity data, including: inputting the temperature and humidity data set into a signal processing front end; using the signal processing front end to perform signal quality processing on the temperature and humidity data set to obtain temperature data and humidity data.

[0012] As a preferred solution of the method for monitoring steam and water leakage in an instrument insulation box described in the present invention, wherein: encrypting and verifying the temperature data and the humidity data to obtain verified temperature data and humidity data, includes: encrypting the temperature data and the humidity data to obtain a hash value of a fixed length; and performing data verification based on the hash value to obtain verified temperature data and humidity data. The beneficial effect of this preferred technical solution is that by adopting a hash function algorithm to encrypt the temperature data and humidity data and generate a hash value of a fixed length for data verification, it can effectively ensure the integrity and security of the monitoring data during transmission and storage, accurately identify data tampering and transmission errors, and improve data credibility and security.

[0013] As a preferred solution of the method for monitoring steam and water leakage in an instrument insulation box described in the present invention, wherein: determining the temperature change characteristics and humidity change characteristics based on the verified temperature data and humidity data, including: obtaining the data amplitude of the verified temperature data and humidity data; calculating the rate of change of the verified temperature data and humidity data; determining the temperature change characteristics and humidity change characteristics based on the data amplitude and rate of change of the temperature data and humidity data. The beneficial effect of this preferred technical solution is that by obtaining the data amplitude of the temperature and humidity data and calculating the rate of change, and then determining the change characteristics of the temperature and humidity data, it can accurately capture the changing laws and trend characteristics of temperature and humidity during the steam and water leakage process, realize quantitative analysis and feature extraction of the leakage status, and provide a scientific data foundation and judgment basis for subsequent accurate judgment of the leakage level.

[0014] Another object of the present invention is to provide a steam-water leakage monitoring system in an instrument insulation box.

[0015] In order to solve the above technical problems, the present invention provides the following technical solutions: a steam and water leakage monitoring system in an instrument insulation box, comprising: a temperature and humidity acquisition module, used to obtain a temperature and humidity data set in the instrument insulation box; a data processing module, used to perform data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determine the verified temperature data and humidity data based on the temperature data and humidity data; a leakage monitoring module, used to judge steam and water leakage based on the verified temperature data and humidity data, and determine the steam and water leakage status in the instrument insulation box; a leakage alarm module, used to perform a steam and water system leakage classification alarm based on the steam and water leakage status.

[0016] The present invention provides a computer device, comprising a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, the steps of the method for monitoring steam-water leakage in an instrument insulation box are implemented.

[0017] The present invention provides a computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method for monitoring steam-water leakage in an instrument insulation box are implemented.

[0018] The beneficial effects of the present invention are as follows: the present invention realizes continuous and accurate monitoring of soda leakage in enclosed spaces by deploying infrared temperature and humidity sensors to collect environmental parameters in the insulated box, solves the problems of time delay, monitoring blind spots and human interference in traditional manual inspections, and lays a reliable data foundation for leak detection; through the classification processing of temperature and humidity data and the hash function encryption verification mechanism, it realizes the specialized independent processing of different types of sensor signals and data integrity verification, effectively avoids mutual interference between signals and security risks in the data transmission process, and improves the accuracy and reliability of the monitoring data; by analyzing the amplitude and change rate of temperature and humidity data to determine the leakage level, it realizes the accurate identification mapping from single data features to complex leakage states, and can judge the leakage level according to the joint change pattern of temperature and humidity, overcoming the problems of high false alarm rate and high risk of missed alarm caused by single parameter monitoring in the existing technology; by establishing a corresponding relationship between leakage level and alarm level and a differentiated hierarchical response mechanism, it realizes hierarchical warning, provides targeted emergency treatment guidance for leaks of different severities, avoids equipment damage and accident expansion, and improves the detection accuracy and response efficiency of instrument insulated box soda leakage monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] To more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. Those skilled in the art can also derive other drawings based on these drawings without inventive effort. Among them:

[0020] Figure 1 The present invention provides an overall flow chart of a method for monitoring steam-water leakage in an instrument insulation box according to an embodiment of the present invention.

[0021] Figure 2 A schematic diagram of the structure of a computer device provided in one embodiment of the present invention. DETAILED DESCRIPTION

[0022] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0023] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0024] Secondly, the term "one embodiment" or "embodiment" herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The phrase "in one embodiment" appearing in various places throughout this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive of other embodiments.

[0025] Example 1, reference Figure 1 , is an embodiment of the present invention, which provides a method for monitoring steam-water leakage in an instrument insulation box, comprising:

[0026] S100: Acquire the temperature and humidity data set in the instrument insulation box.

[0027] S200: performing data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determining verified temperature data and humidity data based on the temperature data and humidity data.

[0028] S300: Perform steam-water leakage judgment based on the verified temperature data and humidity data to determine the steam-water leakage status in the instrument insulation box.

[0029] S400: Performing a graded alarm for a soda system leak based on the soda leakage status.

[0030] It should be noted that during the frequent start and shutdown of the unit, the measuring instrument tubes in the transmitter insulation box are affected by factors such as poor seal quality, thermal expansion and contraction, and installation position. The live joints of the high-temperature and high-pressure instrument tubes may leak, causing a large amount of high-temperature steam to accumulate in a small and enclosed space. The condensed water droplets on the terminals will cause a signal short circuit, resulting in inaccurate instrument indications, and even expanding to affect the safety of nearby transmitters, and then develop into false protection causing the unit to stop unexpectedly; the internal environment of the insulation box is closed and the space is small. Traditional manual inspections make it difficult to detect early signs of steam and water leakage in time, and safety warnings are often delayed; at the same time, due to the sudden and diffusive characteristics of steam and water leakage in high-temperature and high-pressure environments, real-time monitoring of temperature and humidity changes is relatively difficult, and environmental factors may also cause interference to monitoring equipment.

[0031] Therefore, in response to the above-mentioned problems of steam and water leakage monitoring and intelligent early warning, through steps S100-S400, the temperature and humidity data in the instrument insulation box are collected and analyzed in real time, and the relationship between the temperature and humidity change characteristics and the steam and water leakage status is obtained, so as to achieve accurate judgment of the steam and water leakage status; through real-time monitoring of steam and water leakage, the temperature and humidity change trends are analyzed, and graded early warning is achieved for abnormal steam and water leakage status; at the same time, based on the encryption verification of temperature and humidity data and intelligent graded alarm, timely discovery and accurate early warning of abnormal steam and water leakage in the instrument insulation box are achieved.

[0032] Example 2, reference Figure 1 , which is an embodiment of the present invention, provides a method for monitoring steam-water leakage in an instrument insulation box based on the previous embodiment, comprising:

[0033] In the embodiment of the present invention, obtaining the temperature and humidity data set in the instrument insulation box in step S100 includes the following steps A1-A3:

[0034] A1: Install an industrial-grade infrared temperature and humidity sensor in the insulation box of each steam and water system instrument to monitor the temperature and humidity changes in the insulation box in real time.

[0035] A2: By installing an intelligent data acquisition and processing front end and centrally collecting temperature and humidity data, a temperature and humidity dataset is obtained.

[0036] A3: Transmit the temperature and humidity data set to the wireless monitoring and early warning system based on wireless transmission equipment.

[0037] Specifically, the industrial-grade infrared temperature and humidity sensor in step A1 can work stably in a high-temperature and high-pressure environment, realize continuous monitoring of temperature and humidity changes in the insulation box, and timely sense abnormal temperature and humidity fluctuations caused by soda leakage.

[0038] In an optional embodiment, the temperature and humidity data set in the instrument insulation box is obtained in step S100. The temperature sensor, humidity sensor and pressure sensor can be deployed simultaneously through multi-sensor fusion technology to build a multi-dimensional environmental monitoring network. The sensor redundancy configuration is used to improve the reliability of data acquisition. The full coverage monitoring of different areas in the insulation box is achieved through a multi-point sensor array. At the same time, edge computing technology is used to perform preliminary data preprocessing and anomaly detection at the data acquisition end to reduce the data transmission load. The time consistency of data collected by different sensors is ensured through a time synchronization mechanism, providing accurate timing alignment for subsequent multi-source data fusion analysis.

[0039] In another optional embodiment, the temperature and humidity data set in the instrument insulation box is obtained in step S100. A sampling strategy can also be established to adjust the data collection frequency according to the operating status of the insulation box. Low-frequency sampling is used during normal operation to save energy. When abnormal fluctuations are detected, the system automatically switches to high-frequency sampling mode to capture the detailed change process. At the same time, a data quality monitoring mechanism is introduced to evaluate the sensor status and data validity in real time, automatically identify and alarm for sensor failures, communication interruptions or data anomalies, and establish a data backup and recovery mechanism to ensure the security and traceability of important monitoring data through a combination of local storage and cloud backup to avoid data loss due to equipment failure.

[0040] It should be noted that the present invention realizes real-time and accurate monitoring of environmental parameters in a confined space by deploying industrial-grade infrared temperature and humidity sensors in the instrument insulation box and cooperating with the intelligent data acquisition and processing front end, and converts the early signs of soda leakage that are difficult to detect in time by traditional manual inspections into quantifiable data indicators; compared with the monitoring method relying on regular inspections or simple alarm devices in the prior art, the present invention solves the problems of many monitoring blind spots and large response delays in traditional methods by establishing a continuous data acquisition system. In particular, the industrial-grade infrared sensor can work stably in harsh environments of high temperature and high pressure, ensuring the accuracy and reliability of the monitoring data, which not only improves the early detection capability of soda leakage, but also provides complete and accurate data support for subsequent intelligent analysis and early warning decisions, effectively reducing the risk of equipment damage and safety accidents caused by soda leakage.

[0041] In an embodiment of the present invention, step S200 performs data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determines the verified temperature data and humidity data based on the temperature data and humidity data, including the following steps B1-B2:

[0042] B1: Process the temperature and humidity dataset to obtain temperature data and humidity data.

[0043] B2: Encrypt and verify the temperature data and humidity data to obtain verified temperature data and humidity data.

[0044] Specifically, step B1 processes the temperature and humidity data set to obtain temperature data and humidity data, including the following steps B11-B12:

[0045] B11: Input the temperature and humidity dataset into the signal processing front end.

[0046] B12: Use the signal processing front end to perform signal quality processing on the temperature and humidity dataset to obtain temperature data and humidity data.

[0047] Furthermore, in step B11, the temperature and humidity data set is input into the signal processing front end. The specific operations may be:

[0048] The temperature signal and humidity signal in the temperature and humidity data set are transmitted to the temperature signal processing front end and the humidity signal processing front end respectively through the signal isolator.

[0049] Furthermore, in step B12, the signal quality processing of the temperature and humidity dataset is performed using the signal processing front end. The specific operations may be:

[0050] The temperature signal is processed by the temperature signal processing front end to obtain temperature data.

[0051] The humidity signal is processed by the humidity signal processing front end to obtain humidity data.

[0052] Specifically, in step B2, the temperature data and humidity data are encrypted and verified to obtain the verified temperature data and humidity data, including the following steps B21-B22:

[0053] B21: Encrypt the temperature data and humidity data to obtain a hash value of fixed length.

[0054] B22: Perform data verification based on the hash value to obtain verified temperature data and humidity data.

[0055] Furthermore, in step B21, the temperature data and humidity data are encrypted. The specific operation may be:

[0056] The temperature data and humidity data are encrypted separately using the hash function algorithm.

[0057] The encrypted temperature data and humidity data are converted into a hash value of fixed length.

[0058] Furthermore, in step B22, data verification is performed based on the hash value, and the specific operations may be:

[0059] The fixed-length hash value is compared and verified with the preset standard hash value to obtain a comparison result.

[0060] The hash value that passes the verification is obtained by comparing the results.

[0061] Generate verified temperature and humidity data based on the verified hash value.

[0062] In an optional embodiment, in step S200, data classification processing is performed based on the temperature and humidity data set to obtain temperature data and humidity data. The mixed temperature and humidity data can also be intelligently identified and separated by utilizing a machine learning classification algorithm, and a data feature classification model is established using a support vector machine or a random forest algorithm. The temperature signal and humidity signal are automatically distinguished according to the spectral characteristics, amplitude characteristics, and time domain characteristics of the data. At the same time, filtering technology is introduced to perform targeted noise reduction processing on different types of signals. The slowly changing characteristics of the temperature data are processed by a Kalman filter, and the pulse interference of the humidity data is processed by a median filter. A signal quality evaluation system is established, including signal-to-noise ratio, distortion, and stability indicators, to ensure the accuracy and reliability of the data after classification processing.

[0063] In another optional embodiment, in step S200, the verified temperature data and humidity data are determined based on the temperature data and humidity data. The temperature and humidity data can also be securely verified through digital signature technology combined with an asymmetric encryption algorithm. An elliptic curve encryption algorithm is used to generate a digital certificate to ensure the integrity and authenticity of the data during transmission and storage. At the same time, a data version control mechanism is established to record the timestamp and operation records of each data processing, support data traceability and audit functions, and introduce blockchain technology to establish a decentralized data verification network. The legitimacy of the data is verified through a distributed consensus mechanism to prevent the data from being maliciously tampered with, thereby ensuring the credibility and legal effectiveness of the monitoring data.

[0064] It should be noted that the present invention realizes specialized processing of different types of sensor data by accurately classifying and independently processing mixed temperature and humidity data sets, and ensures the security of data transmission and storage through an encryption verification mechanism; compared with the simple mixed processing of temperature and humidity data in the prior art, the present invention solves the problems of low data processing accuracy and insufficient data security in traditional methods by establishing a classification processing and encryption verification system. In particular, the separate processing architecture of the signal isolator and the dedicated signal processing front end avoids mutual interference between different types of signals, ensures the processing accuracy of temperature data and humidity data, and at the same time, the application of the hash function algorithm ensures data integrity verification, which not only improves the accuracy of subsequent soda leakage judgment, but also provides reliable protection for the data security of monitoring and early warning, and ensures the stability and credibility of the entire monitoring and early warning method.

[0065] In the embodiment of the present invention, step S300 performs steam-water leakage judgment based on the verified temperature data and humidity data to determine the steam-water leakage status in the instrument insulation box, including the following steps C1-C2:

[0066] C1: Determine the temperature change characteristics and humidity change characteristics based on the verified temperature data and humidity data.

[0067] C2: Combine the temperature change characteristics and humidity change characteristics to determine the state of the soda leakage and obtain the leakage level of the soda leakage state.

[0068] Specifically, determining the temperature change characteristics and the humidity change characteristics based on the verified temperature data and humidity data in step C1 includes the following steps C11-C13:

[0069] C11: Get the data amplitude of the calibrated temperature data and humidity data.

[0070] C12: Calculate the rate of change of the calibrated temperature and humidity data.

[0071] C13: Determine temperature change characteristics and humidity change characteristics based on the data amplitudes and change rates of the temperature data and the humidity data.

[0072] Specifically, in step C11, the data amplitudes of the verified temperature data and humidity data are obtained, and the specific operations may be:

[0073] Get the real-time values ​​of the calibrated temperature and humidity data.

[0074] The maximum and minimum values ​​of the temperature data and the humidity data within the set time window are recorded respectively, and the data amplitude of the temperature data and the data amplitude of the humidity data are determined.

[0075] Specifically, in step C12, the change rates of the verified temperature data and humidity data are calculated, and the specific operations may be:

[0076] Calculates the rate of change of temperature based on temperature data at consecutive time points.

[0077] Calculates the rate of change of humidity based on humidity data at consecutive time points.

[0078] Furthermore, in step C13, the temperature change characteristics and humidity change characteristics are determined based on the data amplitudes and change rates of the temperature data and the humidity data. Specifically, the operation may be:

[0079] The temperature change trend is analyzed based on the data amplitude and change rate of the temperature data to obtain the temperature change characteristics.

[0080] The humidity change trend is analyzed based on the data amplitude and change rate of the humidity data to obtain the humidity change characteristics.

[0081] Specifically, in step C2, the steam-water leakage status is judged by combining the temperature change characteristics and the humidity change characteristics. The specific operations may be:

[0082] When the change characteristics of humidity show an upward trend and the change characteristics of temperature do not show an upward trend, the leakage level is judged to be a slight leakage.

[0083] When the change characteristics of the humidity and the temperature show an upward trend and the temperature rising rate is less than the first preset threshold, the leakage level is determined to be an initial abnormal leakage.

[0084] When the change characteristics of humidity and temperature show an upward trend and the temperature rising rate is greater than the first preset threshold and less than the second preset threshold, the leakage level is determined to be a medium-term abnormal leakage.

[0085] When the change characteristics of the humidity show an upward trend, the change characteristics of the temperature show an upward trend, and the temperature rising rate is greater than a second preset threshold, the leakage level is determined to be a serious abnormal leakage.

[0086] Exemplarily, when judging the state of soda leakage in step C2, the first preset threshold value can be set to 3°C / min, and the second preset threshold value can be set to 7°C / min; when the monitoring and early warning system software detects that the change characteristics of humidity are on an upward trend, the change characteristics of temperature are on an upward trend, and the temperature rising rate is less than 3°C / min, the leakage level is judged to be an initial abnormal leakage; when it is detected that the change characteristics of humidity are on an upward trend, the change characteristics of temperature are on an upward trend, and the temperature rising rate is greater than 3°C / min and less than 7°C / min, the leakage level is judged to be a medium-term abnormal leakage; when it is detected that the change characteristics of humidity are on an upward trend, the change characteristics of temperature are on an upward trend, and the temperature rising rate is greater than 7°C / min, the leakage level is judged to be a serious abnormal leakage.

[0087] In an optional embodiment, in step S300, a steam-water leakage judgment is performed based on the verified temperature data and humidity data to determine the steam-water leakage status in the instrument insulation box. A mapping relationship between the temperature and humidity change pattern and the leakage status can also be established through a pattern recognition algorithm. A neural network or a deep learning model is used to train a leakage judgment classifier. A training sample set is constructed based on the temperature and humidity change pattern of historical leakage events. The characteristic patterns corresponding to different leakage levels are learned. At the same time, a time series analysis method is introduced to consider the time series characteristics of temperature and humidity changes. The short-term and long-term change trends are analyzed through sliding window technology. A confidence assessment system is established in combination with statistical methods to quantitatively evaluate the reliability of the judgment results to avoid misjudgment due to data fluctuations.

[0088] In another optional embodiment, in step S300, a steam-water leakage judgment is performed based on the verified temperature data and humidity data to determine the steam-water leakage status in the instrument insulation box. A mathematical relationship model between the temperature change rate, the humidity change rate and the severity of the leakage can also be established through a multiple regression analysis method. The influence of external factors such as ambient temperature and atmospheric pressure on the judgment result is taken into account, and a correction coefficient is introduced to adjust the judgment threshold. At the same time, a Bayesian reasoning method is used to combine prior knowledge and real-time monitoring data for probabilistic inference, and the posterior probability of each leakage level is calculated. The results of multiple judgment indicators are integrated through probability fusion technology, and a self-learning mechanism is established to continuously optimize the accuracy of the judgment based on feedback from actual leakage events.

[0089] It should be noted that the present invention judges the leakage status by analyzing the amplitude and change rate of temperature and humidity data, realizes the precise mapping from data features to leakage level, and accurately identifies different degrees of soda leakage status according to the joint change pattern of temperature and humidity; compared with the existing technology that relies on a single parameter or experience judgment, the present invention solves the problems of low judgment accuracy and high false alarm rate in traditional methods by establishing a multi-dimensional feature analysis and intelligent judgment system. In particular, through the quantitative analysis of the temperature rise rate, it can accurately distinguish between the four levels of slight leakage, initial abnormal leakage, mid-term abnormal leakage and severe abnormal leakage, avoiding the problems of vague leakage degree and untimely response in traditional methods, which not only improves the accuracy and timeliness of soda leakage detection, but also provides a scientific judgment basis for subsequent graded alarms and emergency disposal, effectively reducing the risk of equipment damage and safety accidents caused by inaccurate leakage detection.

[0090] In the embodiment of the present invention, step S400 performs a graded alarm for a soda system leakage based on the soda leakage status, including the following steps D1-D2:

[0091] D1: Determine the alarm level according to the leakage level of the soda leakage status.

[0092] D2: Generate alarm information based on the alarm level.

[0093] Specifically, in step D1, the alarm level is determined according to the leakage level of the soda leakage state. The specific operations may be:

[0094] When the leakage level is slight leakage, the alarm level is determined to be a normal alarm.

[0095] When the leakage level is an initial abnormal leakage, the alarm level is determined to be a level three alarm.

[0096] When the leakage level is a mid-term abnormal leakage, the alarm level is determined to be a level 2 alarm.

[0097] When the leakage level is a serious abnormal leakage, the alarm level is determined to be a level one alarm.

[0098] Specifically, generating alarm information based on the alarm level in step D2 may include the following steps D21-D22:

[0099] D21: Generate an alarm message including alarm prompt content according to the alarm level and leakage level.

[0100] D22: Send the alarm information to the mobile terminal or computer via wireless transmission.

[0101] Furthermore, in step D21, an alarm message including alarm prompt content is generated according to the alarm level and the leakage level. The specific operation may be:

[0102] The alarm level and the corresponding alarm prompt content are combined to form a complete alarm message. The alarm prompt content includes slight leakage, initial abnormal leakage, mid-term abnormal leakage and serious abnormal leakage.

[0103] Furthermore, in step D22, the alarm information is sent to the mobile terminal or computer terminal via wireless transmission. The specific operation may be:

[0104] Establish a communication connection with the mobile terminal or computer terminal based on the wireless communication protocol.

[0105] The alarm information is pushed to the operation and maintenance personnel and the inspection and maintenance personnel via SMS, mobile application push or email, reminding the operation and maintenance personnel and the inspection and maintenance personnel to take inspection and handling measures.

[0106] In an optional embodiment, in step S400, a graded alarm for soda system leakage is performed based on the soda leakage status. A multi-level alarm mechanism can also be established to automatically upgrade the alarm level according to the alarm response time and processing progress. When a low-level alarm is not responded to within a preset time, it is automatically upgraded to a higher level. At the same time, geographic location services are introduced to accurately locate the alarm information to the specific insulated box location, and the distribution of alarm points is visualized through a GIS map. An alarm priority queue is established. When multiple insulated boxes leak at the same time, they are sorted and processed according to the severity and scope of impact to ensure priority response to alarms of key equipment. The alarm information is converted into voice broadcasts through voice synthesis technology to improve the efficiency of information communication in emergency situations.

[0107] In another optional embodiment, in step S400, a graded alarm for soda system leakage is performed based on the soda leakage status. An alarm filtering mechanism can also be established to avoid repeated alarms and false alarms. Time windows and similarity analysis techniques are used to merge continuously generated alarms of the same type. At the same time, a machine learning algorithm is introduced to analyze historical alarm data and processing results, establish an alarm credibility assessment model, annotate each alarm message with a confidence score, and establish a personalized alarm push strategy. The alarm content and push method are customized according to the responsibilities and professional fields of different personnel. The expression and detail of the alarm information are optimized through user portrait analysis to ensure that the alarm information can be accurately understood and responded to in a timely manner.

[0108] It should be noted that the present invention realizes hierarchical alarm of soda leakage status by establishing a one-to-one correspondence between leakage level and alarm level, and ensures timely and accurate transmission of alarm information through multiple communication methods; compared with the method of adopting a single alarm method or manually judging the alarm level in the prior art, the present invention solves the problems of untimely alarm response and inaccurate alarm level in the traditional method by establishing an automated hierarchical alarm system, especially by corresponding minor leakage, initial abnormal leakage, mid-term abnormal leakage and serious abnormal leakage to ordinary alarm, three-level alarm, two-level alarm and one-level alarm respectively, so that leakages of different severity can trigger emergency response of corresponding levels, avoiding waste of resources or insufficient response caused by alarms, not only improving the intelligence level and response efficiency of monitoring and early warning, but also providing clear processing guidance for operation, inspection and maintenance personnel, effectively shortening the time interval from discovering the problem to taking measures, and reducing the expansion risk and economic losses of soda leakage accidents.

[0109] In summary, the present invention realizes continuous and accurate monitoring of steam and water leakage in enclosed spaces by deploying infrared temperature and humidity sensors to collect environmental parameters in the insulation box, solves the problems of time delay, monitoring blind spots and interference from human factors in traditional manual inspections, and lays a reliable data foundation for leak detection; through the classification processing of temperature and humidity data and the hash function encryption verification mechanism, it realizes the professional independent processing and data integrity verification of different types of sensor signals, effectively avoids mutual interference between signals and security risks in the data transmission process, and improves the accuracy and reliability of monitoring data; by analyzing the amplitude and change rate of temperature and humidity data to determine the leakage level, it realizes the accurate identification mapping from single data features to composite leakage states, and can judge the leakage level according to the joint change pattern of temperature and humidity, overcoming the problems of high false alarm rate and high risk of missed reports caused by single parameter monitoring in the existing technology; by establishing a correspondence between leakage level and alarm level and a differentiated hierarchical response mechanism, it realizes hierarchical warning, provides targeted emergency treatment guidance for leaks of different severities, avoids equipment damage and accident expansion, and improves the detection accuracy and response efficiency of steam and water leakage monitoring in instrument insulation boxes.

[0110] Example 3 is an embodiment of the present invention, which provides a steam and water leakage monitoring system in an instrument insulation box, including: a temperature and humidity acquisition module, used to obtain a temperature and humidity data set in the instrument insulation box; a data processing module, used to perform data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determine the verified temperature data and humidity data based on the temperature data and humidity data; a leakage monitoring module, used to judge steam and water leakage based on the verified temperature data and humidity data, and determine the steam and water leakage status in the instrument insulation box; a leakage alarm module, used to perform a steam and water system leakage classification alarm based on the steam and water leakage status.

[0111] Example 4 is an embodiment of the present invention, which is different from the first three embodiments in that: Figure 2 As shown, if the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0112] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0113] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0114] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or combination of the following technologies known in the art can be used: a discrete logic circuit having logic gate circuits for implementing logic functions on data signals, an application-specific integrated circuit having suitable combinational logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0115] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for monitoring steam and water leakage in an instrument insulation box, characterized by: include, Obtain the temperature and humidity data set in the instrument insulation box; Performing data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determining verified temperature data and humidity data based on the temperature data and the humidity data; Perform steam and water leakage judgment based on the verified temperature data and humidity data to determine the steam and water leakage status in the instrument insulation box; A soda system leakage graded alarm is performed based on the soda leakage status.

2. The method for monitoring steam-water leakage in an instrument insulation box according to claim 1, characterized in that: Performing data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determining verified temperature data and humidity data based on the temperature data and the humidity data, including: Processing the temperature and humidity data set to obtain temperature data and humidity data; The temperature data and the humidity data are encrypted and verified to obtain verified temperature data and humidity data.

3. The method for monitoring steam-water leakage in an instrument insulation box according to claim 2, characterized in that: The steam and water leakage is judged based on the verified temperature data and humidity data to determine the state of the steam and water leakage in the instrument insulation box, including: determining temperature variation characteristics and humidity variation characteristics based on the verified temperature data and humidity data; The steam and water leakage state is judged in combination with the temperature change characteristics and the humidity change characteristics to obtain the leakage level of the steam and water leakage state.

4. A method for monitoring steam-water leakage in an instrument insulation box according to claim 3, characterized in that: Based on the steam-water leakage status, a steam-water system leakage graded alarm is performed, including: determining an alarm level according to the leakage level of the soda leakage state; An alarm message is generated based on the alarm level.

5. A method for monitoring steam-water leakage in an instrument insulation box according to claim 4, characterized in that: Processing the temperature and humidity data set to obtain temperature data and humidity data includes: Inputting the temperature and humidity data set into a signal processing front end; The signal processing front end is used to perform signal quality processing on the temperature and humidity data set to obtain temperature data and humidity data.

6. A method for monitoring steam-water leakage in an instrument insulation box according to claim 5, characterized in that: Performing encryption verification on the temperature data and the humidity data to obtain verified temperature data and humidity data, including: Encrypting the temperature data and the humidity data to obtain a hash value of fixed length; Data verification is performed based on the hash value to obtain verified temperature data and humidity data.

7. A method for monitoring steam-water leakage in an instrument insulation box according to claim 6, characterized in that: Determining temperature change characteristics and humidity change characteristics based on the verified temperature data and humidity data includes: Acquiring the data amplitudes of the verified temperature data and humidity data; Calculating the change rate of the verified temperature data and humidity data; The temperature change characteristics and the humidity change characteristics are determined based on the data amplitudes and change rates of the temperature data and the humidity data.

8. A system for monitoring steam and water leakage in an instrument insulation box, using a method for monitoring steam and water leakage in an instrument insulation box according to any one of claims 1 to 7, characterized in that: include: Temperature and humidity acquisition module, used to obtain the temperature and humidity data set in the instrument insulation box; A data processing module is used to perform data classification processing based on the temperature and humidity data set to obtain temperature data and humidity data, and determine the verified temperature data and humidity data based on the temperature data and humidity data; The leakage monitoring module is used to judge the leakage of steam and water based on the verified temperature and humidity data, and determine the leakage status of steam and water in the instrument insulation box; The leakage alarm module is used to perform graded leakage alarms in the steam and water system based on the steam and water leakage status.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method for monitoring steam-water leakage in an instrument insulation box according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for monitoring steam-water leakage in an instrument insulation box according to any one of claims 1 to 7 are implemented.

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