Building gas energy intelligent monitoring control system

Abstract

The invention belongs to the technical field of energy control, and particularly discloses a building gas energy intelligent monitoring control system which comprises a gas data acquisition module, a pipeline state acquisition module, a gas state analysis module, a gas control analysis module, a database and a gas control execution terminal. According to the invention, real-time monitoring is carried out from three parameter dimensions of the gas flow, the external temperature of the gas pipeline and the internal pressure of the gas pipeline, so that the dynamic change of the gas system at different moments can be accurately captured, and the problem that the dimension of monitoring data at the monitoring level is relatively single at present is effectively solved; the one-sidedness of gas state judgment caused by only depending on a single index is avoided, meanwhile, through confirming the gas abnormal item, analyzing the gas abnormal guiding degree under the gas abnormal item and analyzing the abnormal control scheme of the gas abnormal item, the limitation of the management personnel on the processing timeliness of the gas use condition is relieved, and the safety of the management personnel is improved. And the flexibility of gas control is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy control, and in particular, relates to an intelligent monitoring and control system for gas energy in a building. Background Art

[0002] As an efficient and clean energy, gas has been widely used in many fields such as residents' lives, industrial production, and commercial activities. However, gas is flammable and explosive, which poses a great safety hazard. In order to ensure the safety of gas energy use, it is necessary to monitor and control the gas energy.

[0003] The causes of gas safety accidents are relatively complex, including aging, corrosion, damage of gas pipelines, failure of gas equipment and other factors. Therefore, gas energy monitoring also involves multiple aspects. At present, there are still the following deficiencies in the monitoring and control of building gas energy: 1. As far as the monitoring level is concerned, the current monitoring dimension is relatively single, and some potential risks that may exist before the leak, such as abnormal pressure increase and unstable flow due to local blockage of the pipeline, cannot be detected and handled in time.

[0004] 2. Failure to conduct further control analysis, such as specific flow control and pressure control, limits the management personnel's ability to handle gas usage in a timely manner, resulting in a certain deviation in the flexibility of gas control, which in turn makes it impossible to achieve refined management of gas energy during use and makes it difficult to effectively improve energy utilization efficiency.

[0005] 3. The current gas supply system is in a relatively passive monitoring state and lacks the ability to actively defend against gas safety accidents. At the same time, the existing model is only based on leakage judgment and early warning, and cannot effectively intervene in energy utilization problems caused by pressure changes. Summary of the invention

[0006] In view of this, in order to solve the problems raised in the above background technology, a building gas energy intelligent monitoring and control system is now proposed.

[0007] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a building gas energy intelligent monitoring and control system, including: a gas data acquisition module, which is used to collect the status data and gas flow of the current monitored gas usage terminal in real time, and at the same time import the positions of each key node marked on the gas pipeline corresponding to the current monitored gas usage terminal.

[0008] The pipeline status acquisition module is used to start the sensor equipment installed at each key node to monitor the internal pressure of the pipeline and the external temperature of the pipeline in real time, and obtain the internal pressure of the pipeline and the external temperature of the pipeline monitored in real time at each key node.

[0009] The gas status analysis module is used to judge the gas status. If the judgment result is abnormal, the gas abnormal items are confirmed, including abnormal gas flow, abnormal gas pressure and abnormal inside the pipeline.

[0010] The gas control analysis module is used to analyze the gas anomaly guidance degree under the gas anomaly item and analyze the abnormal control plan of the gas anomaly item.

[0011] The database is used to store the past monitoring logs of the current gas usage terminal, and is also used to store the initial trigger pipeline internal pressure range set when the pressure regulating device is regulating the pressure.

[0012] The gas control execution terminal is used to start the corresponding control equipment to perform gas abnormality management and control based on the abnormal control plan of gas abnormality items.

[0013] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention can accurately capture the dynamic changes of the gas system at different times by performing real-time monitoring from the three parameter dimensions of gas flow, external temperature of the gas pipeline and internal pressure of the gas pipeline, effectively solving the problem of the relatively single dimension of monitoring data at the current monitoring level, and can comprehensively and deeply understand the entire gas operation status from multiple dimensions, avoiding the one-sided judgment of the gas status due to relying solely on a single indicator. At the same time, it is convenient for timely detection and processing of some potential risks that may exist before the leak, such as abnormal pressure increase and unstable flow due to local blockage of the pipeline.

[0014] (2) The present invention analyzes and sets conditions for three types of data, namely, gas flow, external temperature of the gas pipeline, and internal pressure of the gas pipeline, and then determines the gas status. It can detect various abnormal situations in a timely manner and play a warning role. It also helps to predict possible problems in advance, ensure the stable operation of the gas system, and facilitate more accurate location of the root cause of the fault.

[0015] (3) The present invention sets the gas flow change matching correction factor by analyzing the number of fluctuation points in the combustion flow change curve, the time points at which the fluctuation points are located, and the corresponding time points of the pressure change curve at the key node, and comprehensively considers the influence of the fire power value of the gas combustion process and the pressure of the key node on the gas flow change, avoiding the limitation of evaluating the gas flow change matching degree from only a single perspective, and can more accurately reflect the actual matching degree between the gas flow change and other related factors, such as the pipeline pressure, thereby improving the accuracy and reliability of the gas flow change matching degree evaluation.

[0016] (4) The present invention realizes dynamic and static dual-state analysis of gas flow by setting conditions separately in combination with the gas usage status, which can more comprehensively evaluate the actual conditions of gas equipment in different operation stages, improve the reliability and accuracy of gas flow state analysis results, and thus facilitate the subsequent formulation of more refined maintenance plans.

[0017] (5) The present invention effectively solves the problem of no further control analysis at present by confirming gas anomalies, analyzing the gas anomaly guidance degree under gas anomalies, and analyzing the abnormal control scheme of gas anomalies. It removes the restrictions on the timeliness of gas usage by managers, improves the flexibility of gas control, and ensures the refined management of gas energy during use, improves the utilization rate of gas energy, and makes up for the current relatively passive monitoring state. It has a good ability to actively defend against gas safety accidents. At the same time, it also breaks the limitations of the current model based only on leakage judgment and early warning at the gas processing level, and provides convenience for the effective intervention of energy utilization problems caused by pressure changes, internal pipeline blockages, etc. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 This is a schematic diagram of the connection of the system modules of the present invention.

[0020] Figure 2 The present invention is a schematic flow chart of the steps for implementing the method. DETAILED DESCRIPTION

[0021] 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.

[0022] See also Figure 1 and Figure 2 As shown, the present invention provides a building gas energy intelligent monitoring and control system, which includes: a gas data acquisition module, a pipeline status acquisition module, a gas status analysis module, a gas control parsing module, a database and a gas control execution terminal.

[0023] In the above, the gas state analysis module is respectively connected to the gas data acquisition module, the pipeline state acquisition module, the gas control analysis module and the database, and the gas control analysis module is also respectively connected to the database and the gas control execution terminal.

[0024] The gas data acquisition module is used to collect the status data and gas flow of the currently monitored gas usage terminal in real time, and at the same time import the positions of the key nodes marked on the gas pipeline corresponding to the currently monitored gas usage terminal.

[0025] Among them, the status data includes the on state and the firepower value when the on state is on.

[0026] In a specific embodiment, the key nodes can be set at the starting point, end point, branch point, and diameter change point of the gas pipeline. The starting point monitoring can grasp the initial gas supply status, the end point monitoring can understand the gas situation after transmission, and the branch point and diameter change point may affect the gas flow characteristics due to the change of pipeline structure. By setting monitoring points here, abnormalities such as pressure and flow caused by structural changes can be discovered in time.

[0027] In another specific embodiment, the gas usage terminal may be a gas stove or a gas water heater, etc.

[0028] The pipeline state acquisition module is used to start the sensor equipment installed at each key node to monitor the internal pressure of the pipeline and the external temperature of the pipeline in real time, and obtain the internal pressure of the pipeline and the external temperature of the pipeline monitored in real time at each key node.

[0029] In a specific embodiment, the sensing device includes a temperature sensor and a pressure sensor, wherein the temperature sensor is used to monitor the external temperature of the pipeline in real time, and the pressure sensor is used to monitor the internal pressure of the pipeline in real time.

[0030] The embodiment of the present invention can accurately capture the dynamic changes of the gas system at different times by performing real-time monitoring from three parameter dimensions: gas flow, external temperature of the gas pipeline, and internal pressure of the gas pipeline. It effectively solves the problem of relatively single monitoring data dimension at the current monitoring level, and can comprehensively and deeply understand the entire gas operation status from multiple dimensions, avoiding the one-sided judgment of the gas status due to reliance on a single indicator. At the same time, it is convenient for timely detection and processing of some potential risks that may exist before the leak, such as abnormal pressure increase and unstable flow due to local blockage of the pipeline.

[0031] The gas status analysis module is used to judge the gas status. If the judgment result is abnormal, the gas abnormal items are confirmed, including abnormal gas flow, abnormal gas pressure and abnormal inside the pipeline.

[0032] The gas status judgment includes: R1, extracting the on status from the status data of the gas usage terminal, taking each collection time point when the on status is off as each first analysis time point, and taking each collection time point when the on status is on as each second analysis time point.

[0033] R2. Filter out the maximum gas flow rate from the gas flow rates of the currently monitored gas usage terminals collected at each first analysis time point.

[0034] R3. Extract the firepower value from the status data of the currently monitored gas usage terminal collected at each second analysis time point.

[0035] R4. Integrate the second analysis time points of the same firepower value to obtain the second analysis time points at each firepower value.

[0036] R5. With time as the horizontal axis and gas flow rate as the vertical axis, a gas flow rate change curve under each fire value is constructed, the internal pressure of the pipeline at each key node at each second analysis time point is extracted, and a pipeline internal pressure change curve at each key node is constructed. Based on this, the gas flow rate change consistency is calculated and recorded as LH.

[0037] The embodiment of the present invention realizes dynamic and static dual-state analysis of gas flow by setting conditions separately in combination with the gas usage status, which can more comprehensively evaluate the actual conditions of gas equipment in different operation stages, improve the reliability and accuracy of the gas flow state analysis results, and thus facilitate the subsequent formulation of more refined maintenance plans.

[0038] R6. Based on the real-time monitoring of the external temperature of the pipeline at each key node, the consistency of the pipeline temperature state is calculated, recorded as WH. At the same time, based on the real-time monitoring of the internal pressure of the pipeline at each key node, the consistency of the internal pressure of the pipeline is calculated, recorded as NH.

[0039] R7. Define the maximum gas flow rate greater than the set reference gas flow rate as condition 1, define the gas flow rate change consistency LH less than the set gas flow rate change consistency LH′ as condition 2, define the pipeline temperature state consistency WH less than the set reference temperature state consistency WH′ as condition 3, and define the pipeline internal pressure consistency NH less than the set reference pressure consistency NH′ as condition 4.

[0040] R8. If any one of the conditions 1, 2, 3 and 4 is met, abnormality is taken as the judgment result. If none of the conditions 1, 2, 3 and 4 is met, normal is taken as the judgment result.

[0041] In a specific embodiment, the reference gas flow is extracted by monitoring the factory settings of the gas usage terminal and provided by the manufacturer, and LH′, WH′ and NH′ can take values ​​of 0.3, 0 and 0 respectively.

[0042] It should be added that the gas flow rate reflects the consumption of gas and whether the gas is transmitted smoothly in the pipeline. The external temperature of the pipeline can reveal the impact of the environment in which the pipeline is located, such as whether it is affected by heat sources or cold sources, and the heat dissipation or insulation of the pipeline itself. The internal pressure of the pipeline is related to whether the gas is transported normally in the pipeline, whether there are blockages, pressure regulating equipment failures, and other situations that may affect the pressure. Combining these three aspects of information can more accurately depict the true operation of the entire gas system at a certain moment, avoiding a one-sided understanding of the system status due to focusing only on a single factor. For example, based only on leakage judgment, when no leakage is detected, it may be believed that the system is normal, but in fact there may be problems such as unstable gas flow causing gas-using equipment to fail to work properly, or abnormal internal pressure in the pipeline affecting gas supply efficiency. Comprehensive analysis of the three types of data can promptly discover these hidden situations.

[0043] Understandably, when the gas terminal is closed, the monitored gas flow should theoretically approach zero, that is, a constant value, which can be approximately regarded as zero. Because at this time the gas supply path has been cut off, and the gas no longer flows out through the terminal device. However, if there is a fault in the valve on the gas terminal device, such as damage to the seal inside the valve, valve core jamming, etc., the valve may not be completely closed, so that a small amount of gas will still leak out through the valve gap, thereby showing a certain non-zero flow value on the monitoring device, and if the connection between the gas equipment and the gas pipeline is not tightly sealed, gas leakage may also occur. For example, if the sealing gasket at the pipeline interface is aging, loose, or the threaded connection is not tight, even if the valve of the equipment itself is closed, there will still be a trace of gas leaking from these connection parts, resulting in the monitored flow not being zero. Therefore, it is more representative and reliable to evaluate whether there is a leakage by looking at the gas flow conditions in both the closed and open states.

[0044] The embodiment of the present invention analyzes and sets conditions for three types of data, namely, gas flow, external temperature of the gas pipeline, and internal pressure of the gas pipeline, and then determines the gas status. It can promptly discover various abnormal situations and play a warning role. It also helps to predict possible problems in advance, ensure the stable operation of the gas system, and facilitate more accurate location of the root cause of the fault.

[0045] Specifically, regarding the statistical consistency of gas flow changes in step R5, it includes: R51, extracting the number of fluctuation points from the combustion flow change curve of each fire power value, dividing it by the number of second analysis time points under the corresponding fire power value, to obtain the fluctuation ratio of each fire power value, and obtaining the average fire power fluctuation ratio by mean calculation, recorded as k0.

[0046] R52. Extract the amplitude from each firepower value combustion curve, record the firepower value whose amplitude exceeds the corresponding set reference amplitude as the deviation firepower value, count the number of deviation firepower values ​​and the number of firepower value combustion curves, and take the ratio of the two as the deviation firepower ratio, recorded as k1.

[0047] R53. Extract the number of fluctuation points from the internal pressure change curve of the pipeline at each key node, and select the maximum number of fluctuation points D max , and extract the second analysis time point of each key node corresponding to each fluctuation point, and set the gas flow change matching correction factor, recorded as η.

[0048] R54. Set the weights of the average firepower fluctuation ratio and the deviation firepower ratio, denoted as r0 and r1 respectively, and calculate the gas flow change consistency LH, LH = (r0*k0+r1*k1)*(1-η), r0+r1=1.

[0049] It should be added that the supply pressure of the gas pipeline is not completely constant. The urban gas supply network is large and complex. At different times, such as peak and trough periods of gas consumption, and in different regions, the pressure in the gas pipeline may fluctuate due to uneven gas demand. When the supply pressure increases, the gas flow rate may increase accordingly when the terminal equipment is turned on. Conversely, the flow rate may decrease when the pressure decreases. Therefore, the pressure inside the gas pipeline will have a significant impact on the change of gas flow rate, and the law of pressure change inside the pipeline needs to be considered.

[0050] It should be added that when adjusting the gas usage terminal, such as the knob of a gas stove to change the firepower, you are actually adjusting the opening of the gas valve, which in turn changes the gas flow rate. That is, the firepower value can be obtained in real time through the flow sensor. The flow data can be obtained and the adjusted firepower value can be calculated based on the flow data. For example, it can be determined based on a pre-set correspondence table between flow and firepower value.

[0051] Understandably, the average firepower fluctuation ratio mainly reflects the proportional relationship between the fluctuation of the firepower value during gas combustion and the total analysis time point within a certain time range or under specific combustion conditions. The focus is on the comparison between the frequency of firepower fluctuations caused by flow changes during the combustion process and the entire analysis time period. The deviation firepower ratio mainly reflects the proportional relationship between the deviation of the firepower value from the normal reference amplitude during gas combustion and the total number of combustion curves. The deviation firepower ratio is used to measure the proportion of all combustion situations in which the firepower value exceeds this normal reference amplitude range, that is, it reflects the degree to which the firepower value deviates from the normal state. The larger the value, the more serious the deviation of the firepower from the normal amplitude. Therefore, the consistency of the gas flow change is statistically analyzed from these two different parameter dimensions.

[0052] In a specific embodiment, the weights of the average firepower fluctuation ratio and the deviation firepower ratio are specifically set according to the scene in which the gas is located. The specific examples are as follows: 1) Industrial production scene: r0 and r1 are respectively set to 0.6 and 0.4.

[0053] Understandably, in the field of industrial production, such as steel smelting, chemical synthesis and other industries, many production processes have extremely high requirements for the stability of gas firepower. Continuous and stable firepower output is crucial to ensure product quality and the continuity of the production process. The average firepower fluctuation ratio can well reflect whether there are frequent small fluctuations in the firepower during continuous combustion, and these small fluctuations may affect the physical and chemical properties of the product and the accuracy of the production process. Therefore, a relatively high weight is given to the average firepower fluctuation ratio in order to more strictly monitor the stability of the firepower. Although the deviation firepower ratio can also reflect the situation where the firepower deviates from the normal state, as long as the firepower is within a reasonable fluctuation range and there is no large deviation, it usually does not immediately cause a catastrophic impact on production. In contrast, in industrial production scenarios, the requirement for continuous and stable firepower is more prominent, so the weight of the deviation firepower ratio is relatively low.

[0054] 2) Residents’ living scenario: r0 and r1 are set to 0.3 and 0.7 respectively.

[0055] Understandably, daily life requires gas stoves to provide appropriate and relatively stable firepower for cooking various dishes and heating. However, for the quality of dishes, whether the firepower deviates significantly from the normal amplitude range has a more direct impact on the cooking results. The deviation firepower ratio focuses on the deviation of the firepower from the normal amplitude, and can more effectively capture these abnormal conditions that may seriously affect the quality of the dishes, so it is given a higher weight. Although the average firepower fluctuation ratio can also reflect a certain degree of firepower fluctuation, in the catering scene, occasional small fluctuations generally do not have a decisive impact on the quality of the dishes, as long as the overall firepower is within an acceptable range. Therefore, in commercial catering scenarios, the weight of the average firepower fluctuation ratio is relatively low.

[0056] Furthermore, in the R53 step, the gas flow change matching correction factor is set, including: selecting the maximum number of fluctuation points from the number of fluctuation points of the combustion flow change curve of each fire value, and recording it as D′ max .

[0057] The second analysis time point of each fluctuation point is extracted from the combustion flow change curve of each firepower value, and the second analysis time points of the fluctuation points are integrated to obtain a set of firepower combustion analysis time points. At the same time, the second analysis time points of each key node corresponding to each fluctuation point are deduplicated. After deduplication, they are integrated to construct a set of key node analysis time points.

[0058] The same number of second analysis time points in the firepower combustion analysis time point set and the key analysis time point set is counted, and divided by the number of second analysis time points in the key node analysis time point set to obtain the same analysis time ratio, which is recorded as k c .

[0059] Set the gas flow change matching correction factor η, ΔD is the difference in the number of fluctuation points of the set reference, k c ' is the same analysis time ratio as the reference.

[0060] In a specific embodiment, the specific value of ΔD can be Indicates the round-up symbol, k c ′ can take the value of 0.85.

[0061] It should be added that the process of setting the gas flow change matching correction factor involves extracting relevant information from multiple aspects such as the combustion flow change curve of each fire value and the internal pressure change curve of the pipeline at each key node. For example, by analyzing the number of fluctuation points in the combustion flow change curve, the time points at which the fluctuation points are located, and the corresponding time points of the pressure change curve at the key node. In the actual operation of the gas system, the change in gas flow is not restricted by a single factor, but is affected by the interaction of multiple factors. The gas flow change matching correction factor quantifies the relationship between these factors, so that when the gas flow change matching degree is statistically analyzed, it can more accurately judge whether the gas flow change is in line with the expected coordination with other factors, thereby improving the accuracy of the matching degree evaluation.

[0062] The embodiment of the present invention sets the gas flow change matching correction factor by analyzing the number of fluctuation points in the combustion flow change curve, the time points at which the fluctuation points are located, and the corresponding time points of the pressure change curve at the key node, comprehensively considering the influence of the fire power value of the gas combustion process and the pressure of the key node on the gas flow change, avoiding the limitation of evaluating the gas flow change matching degree from only a single perspective, and being able to more accurately reflect the actual matching degree between the gas flow change and other related factors, such as the pipeline pressure, thereby improving the accuracy and reliability of the gas flow change matching degree evaluation.

[0063] Specifically, the statistical consistency of the pipeline temperature state in step R6 includes: selecting the maximum temperature value from the pipeline external temperatures at each key node monitored at the current time point, and recording it as w max .

[0064] The standard deviation of the external temperature of the pipeline at each key node monitored at the same time point is calculated to obtain the external temperature difference of each key node at each time point, from which the maximum external temperature difference is selected and recorded as

[0065] With time as the horizontal axis and the external temperature of the pipeline as the vertical axis, the pipeline external temperature change curve at each key node is constructed, the slope of the pipeline external temperature change curve is extracted, and the maximum slope is screened out as the maximum external temperature change rate, recorded as p max .

[0066] Statistical pipeline temperature state consistency WH, w′, and p′ represent the reference external temperature of the pipeline, the difference of the external temperature of the pipeline, and the rate of change of the external temperature of the pipeline, respectively.

[0067] In a specific embodiment, in most conventional civil and general industrial gas supply scenarios, gas pipelines are usually transported at room temperature. Roughly between -20°C and 50°C, w′ can be 50°C. The temperature of natural gas pipelines laid in residential areas is basically close to the ambient air temperature. In summer, the temperature may rise to more than 30 degrees Celsius. As long as there are no other abnormal factors, the pipeline temperature is within the normal fluctuation range of the local ambient temperature. In this scenario, w′ can be 30°C.

[0068] In another specific embodiment, The specific value may be 5°C, and the specific value of p′ may be 0.1.

[0069] Specifically, regarding the statistical consistency of the internal pipeline pressure in step R6, it includes: extracting the past monitoring logs of the current monitored gas usage terminal from the database, and then extracting the highest monitored pipeline internal pressure and the lowest pipeline internal pressure corresponding to the normal gas circulation mark on each monitoring day.

[0070] The maximum value is selected from the highest monitoring pipeline internal pressure under the corresponding normal gas circulation mark on each monitoring day, and the minimum value is selected from the lowest pipeline internal pressure under the corresponding normal gas circulation mark on each monitoring day. The selected maximum and minimum values ​​are combined to form a reference pipeline internal pressure range.

[0071] The internal pressure of the pipeline at each key node monitored at the same time point is compared with the internal pressure range of the reference pipeline. The number of key nodes located in the internal range of the reference pipeline is counted and divided by the number of key nodes. The ratio is taken as the matching key node ratio.

[0072] The minimum key node ratio of anastomosis is screened out from the key node ratios of anastomosis monitored in real time, and the minimum key node ratio of anastomosis is used as the evaluation variable. The pipeline internal pressure anastomosis degree NH is obtained by linear regression function statistics.

[0073] It should be added that the specific linear statistical function of NH is expressed as kh is the minimum matching key node ratio, k h ' is the minimum matching critical ratio for setting reference.

[0074] In a specific embodiment, k h The specific value of ′ can be 0.9.

[0075] Further, the confirming of the gas abnormality item includes: if condition 1 or condition 2 is met, treating the gas flow abnormality as the gas abnormality item.

[0076] If condition 3 is met and conditions 1, 2 and 4 are not met, the abnormality inside the pipeline is regarded as a gas abnormality item.

[0077] If condition 4 is met, the abnormal gas pressure is regarded as a gas abnormality item.

[0078] Understandably, if there are foreign objects such as impurities and rust accumulated in the pipeline, or if the pipeline is partially deformed or the inner diameter is reduced due to improper installation, local blockage will occur. When the gas flows through the blocked part, the flow rate will suddenly increase, and a large pressure difference will be generated before and after the blockage point, which will not only increase the friction between the gas and the pipeline, but also cause the kinetic energy of the gas to be converted into heat energy at the blockage, thereby causing the pipeline temperature to rise.

[0079] It is also understandable that when the gas flow rate suddenly increases, the gas flow rate in the pipeline increases, and the friction between gas molecules and the friction between the gas and the inner wall of the pipeline intensifies, which will cause the pipeline temperature to rise. For example, in industrial production, if a certain gas-using link suddenly increases the gas demand, causing a large amount of gas to pass through the pipeline quickly, it may cause abnormal changes in the pipeline temperature. At the same time, if the pressure in the gas pipeline is too high, the gas is compressed, the distance between molecules decreases, and the interaction between molecules increases. In this state, the internal energy of the gas increases, which will cause the pipeline temperature to rise. For example, if the pressure regulating station fails and fails to properly adjust the gas pressure, causing excessive pressure to enter a certain section of the pipeline, it is easy to cause abnormal temperature in that section of the pipeline. On the contrary, if the gas flow rate drops suddenly, the gas that was originally in a high-speed flow state suddenly slows down, and its kinetic energy will be partially converted into heat energy, which may also cause certain fluctuations in the pipeline temperature. Similarly, when the pressure is too low, although it generally does not directly cause a significant increase in the pipeline temperature, it may affect the normal flow and combustion effect of the gas, and indirectly cause abnormal operation of other related equipment such as gas stoves, which will then be fed back to the pipeline, causing some temperature changes in the pipeline, such as heat generated by insufficient combustion accumulating near the pipeline. It can be seen that both the gas flow rate and the internal pressure of the pipeline will affect the temperature. Therefore, when evaluating whether it is an internal abnormality in the pipeline from the perspective of temperature change, it is necessary to exclude the influence of changes in gas flow and internal pressure of the pipeline, that is, when condition 3 is met and conditions 1, 2 and 4 are not met, the internal abnormality of the pipeline is regarded as a gas abnormality item.

[0080] The gas control analysis module is used to analyze the gas anomaly guidance degree under the gas anomaly item and analyze the abnormal control solution of the gas anomaly item.

[0081] Specifically, the gas anomaly guidance degree under the gas anomaly item is analyzed, including: if the gas anomaly item is a gas flow anomaly, the maximum gas flow and the set reference gas flow are respectively recorded as l max and l′, The gas anomaly guidance degree is denoted as λgl, and e is a natural constant.

[0082] If the gas abnormality is due to an abnormality inside the pipeline, 1-e WH′-WH The gas abnormality guidance degree is recorded as λgb.

[0083] If the gas abnormality item is the gas pressure, the gas abnormality guidance degree under the gas abnormality item is calculated in the same way as λgb, and λgn is recorded as.

[0084] It should be added that the value interval of the gas anomaly guidance degree is [0, 1]. By setting the value between 0 and 1, subsequent data processing and further analysis can be facilitated.

[0085] In yet another specific embodiment, the abnormal control scheme for analyzing the gas abnormality item includes: A1. If the gas abnormality item is a gas flow abnormality, and its gas abnormality guidance degree is less than the set reference gas abnormality degree, a gas flow abnormality early warning instruction will be started as an abnormal control scheme; if the gas abnormality guidance degree is greater than or equal to the set reference gas abnormality degree, a gas valve closing instruction and a gas flow abnormality early warning instruction will be started as the abnormal control scheme.

[0086] A2. If the gas abnormality item is an internal pipeline abnormality, and the corresponding gas abnormality guidance degree is less than the set reference gas abnormality degree, the gas pipeline internal abnormality warning instruction will be activated as the abnormality control plan. If the gas abnormality guidance degree is greater than or equal to the set reference gas abnormality degree, the gas valve closing instruction and the gas pipeline internal abnormality warning instruction will be activated as the abnormality control plan.

[0087] A3. If the gas abnormality item is gas pressure abnormality, and the corresponding gas abnormality guidance degree is less than the set reference gas abnormality degree, confirm the internal pipeline pressure adjustment index as the abnormality control plan. If the corresponding gas abnormality degree is greater than or equal to the reference gas abnormality degree, start the gas valve closing instruction and start the gas pipeline internal abnormality warning instruction as the abnormality control plan.

[0088] Furthermore, in step A3, the pipeline internal pressure adjustment index is confirmed, including: extracting the initial trigger pipeline internal pressure interval set when the pressure regulating device is regulating the pressure from the database, extracting the upper limit value and the lower limit value of the initial trigger pipeline internal pressure interval, which are recorded as N max and N min .

[0089] N max *(1-λgn) is used as the upper limit of the pressure range inside the trigger pipe. min *(1+λgn) is used as the lower limit value of the adjustment triggering pipeline internal pressure range, and the two are combined to form the adjustment triggering pipeline internal pressure range, which is used as the pipeline internal pressure adjustment index.

[0090] It should be added that the pressure regulating equipment in the gas pipeline system is generally located at the starting end of the pipeline, the branch point or the front end of the gas-using equipment. The outlet pressure of the civil gas pipeline is usually set between 1.5kPa-3kPa, kPa represents the pressure unit.

[0091] The embodiment of the present invention effectively solves the problem of no further control analysis at present by confirming gas anomalies, analyzing the gas anomaly guidance degree under the gas anomalies, and parsing the abnormal control scheme of the gas anomalies, removes the restrictions on the timeliness of processing the gas usage by the management personnel, improves the flexibility of gas control, and thus ensures the refined management of gas energy during use, improves the utilization rate of gas energy, and also makes up for the deficiency of the current relatively passive monitoring state, has a good ability to actively defend against gas safety accidents, and also breaks the limitation of the current mode based only on leakage judgment and early warning at the gas processing level, and provides convenience for the effective intervention of energy utilization problems caused by pressure changes, internal pipeline blockages, etc.

[0092] The database is used to store past monitoring logs of the currently monitored gas usage terminal, and is also used to store the initial trigger pipeline internal pressure range set when the pressure regulating device is regulating the pressure.

[0093] Specifically, the records in the past monitoring logs include, but are not limited to, the highest monitoring pipeline internal pressure and the lowest pipeline internal pressure corresponding to the normal gas flow monitoring mark on each monitoring day.

[0094] The gas control execution terminal is used to start the corresponding control device to perform gas abnormality management and control based on the abnormal control plan of the gas abnormality item.

[0095] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A building gas energy intelligent monitoring and control system, characterized in that: include: The gas data collection module is used to collect the status data and gas flow of the currently monitored gas usage terminal in real time, and import the locations of the key nodes marked on the gas pipeline to which the currently monitored gas usage terminal belongs; The pipeline status acquisition module is used to start the sensor equipment installed at each key node to monitor the internal pressure of the pipeline and the external temperature of the pipeline in real time, and obtain the internal pressure of the pipeline and the external temperature of the pipeline monitored in real time at each key node; The gas status analysis module is used to judge the gas status. If the judgment result is abnormal, the gas abnormal items are confirmed, including abnormal gas flow, abnormal gas pressure and abnormal pipeline internal conditions; The gas control analysis module is used to analyze the gas anomaly guidance degree under the gas anomaly item and analyze the abnormal control plan of the gas anomaly item; The database is used to store the past monitoring logs of the current gas usage terminal, and is also used to store the initial trigger pipeline internal pressure range set when the pressure regulating device is regulating the pressure; The gas control execution terminal is used to start the corresponding control equipment to perform gas abnormality management and control based on the abnormal control plan of gas abnormality items.

2. A building gas energy intelligent monitoring and control system as claimed in claim 1, characterized in that: The gas state determination comprises: Extracting the opening state from the state data of the gas use terminal, taking each collection time point when the opening state is off as each first analysis time point, and taking each collection time point when the opening state is on as each second analysis time point; Filter out the maximum gas flow rate from the gas flow rates of the currently monitored gas usage terminals collected at each first analysis time point; Extracting the firepower value from the state data of the currently monitored gas usage terminal collected at each second analysis time point; Integrate the second analysis time points at the same firepower value to obtain the second analysis time points at each firepower value; With time as the horizontal axis and gas flow rate as the vertical axis, a gas flow rate change curve under each fire value is constructed, the internal pressure of the pipeline at each key node at each second analysis time point is extracted, and a pipeline internal pressure change curve at each key node is constructed. Based on this, the gas flow rate change consistency is calculated and recorded as LH; Based on the real-time monitoring of the external temperature of the pipeline at each key node, the pipeline temperature state consistency is calculated, which is recorded as WH. At the same time, based on the real-time monitoring of the internal pressure of the pipeline at each key node, the internal pressure consistency of the pipeline is calculated, which is recorded as NH. The maximum gas flow rate is greater than the set reference gas flow rate, which is defined as condition 1; the gas flow rate change consistency LH is less than the set gas flow rate change consistency LH′, which is defined as condition 2; the pipeline temperature state consistency WH is less than the set reference temperature state consistency WH′, which is defined as condition 3; the pipeline internal pressure consistency NH is less than the set reference pressure consistency NH′, which is defined as condition 4; If any one of conditions 1, 2, 3 and 4 is met, abnormality is taken as the judgment result. If none of conditions 1, 2, 3 and 4 is met, normality is taken as the judgment result.

3. A building gas energy intelligent monitoring and control system as claimed in claim 2, characterized in that: The statistical gas flow change consistency includes: Extract the number of fluctuation points from the combustion flow change curve of each firepower value, divide it by the number of the second analysis time points under the corresponding firepower value, and obtain the fluctuation ratio of each firepower value. The average firepower fluctuation ratio is obtained by mean calculation, which is recorded as k0; Extract the amplitude from each firepower value combustion curve, record the firepower value whose amplitude exceeds the corresponding set reference amplitude as the deviation firepower value, count the number of deviation firepower values ​​and the number of firepower value combustion curves, and take the ratio of the two as the deviation firepower ratio, recorded as k1; Extract the number of fluctuation points from the internal pressure change curve of the pipeline at each key node, and select the maximum number of fluctuation points D max , and extract the second analysis time point of each key node corresponding to each fluctuation point, and set the gas flow change matching correction factor, recorded as η; The weights of the average firepower fluctuation ratio and the deviation firepower ratio are set, denoted as r0 and r1 respectively, and the gas flow change consistency LH is calculated, LH = (r0*k0+r1*k1)*(1-η), r0+r1 = 1.

4. A building gas energy intelligent monitoring and control system as claimed in claim 3, characterized in that: The setting of the gas flow change matching correction factor includes: The maximum number of fluctuation points is selected from the number of fluctuation points of the combustion flow change curve of each fire value, and is recorded as D′ max ; Extract the second analysis time point of each fluctuation point from the combustion flow change curve of each fire value, integrate the second analysis time points of the fluctuation point, and obtain a fire combustion analysis time point set. At the same time, remove the second analysis time points of each key node corresponding to each fluctuation point, and after the removal of duplicates, integrate them to construct a key node analysis time point set; The same number of second analysis time points in the firepower combustion analysis time point set and the key analysis time point set is counted, and divided by the number of second analysis time points in the key node analysis time point set to obtain the same analysis time ratio, which is recorded as k c ; Set the gas flow change matching correction factor η, ΔD is the difference in the number of fluctuation points of the set reference, k c ' is the same analysis time ratio as the reference.

5. The intelligent monitoring and control system for building gas energy according to claim 2, characterized in that: The statistical pipeline temperature state consistency includes: The maximum temperature value is selected from the external temperatures of the pipeline at each key node monitored at the current time point, and is recorded as w max ; The standard deviation of the external temperature of the pipeline at each key node monitored at the same time point is calculated to obtain the external temperature difference of each key node at each time point, from which the maximum external temperature difference is selected and recorded as With time as the horizontal axis and the external temperature of the pipeline as the vertical axis, the pipeline external temperature change curve at each key node is constructed, the slope of the pipeline external temperature change curve is extracted, and the maximum slope is screened out as the maximum external temperature change rate, recorded as p max ; Statistical pipeline temperature state consistency WH, w′, and p′ represent the reference external temperature of the pipeline, the difference of the external temperature of the pipeline, and the rate of change of the external temperature of the pipeline, respectively.

6. A building gas energy intelligent monitoring and control system as claimed in claim 2, characterized in that: The statistical pipeline internal pressure consistency includes: Extract the past monitoring logs of the currently monitored gas use terminal from the database, and then extract the highest monitoring pipeline internal pressure and the lowest pipeline internal pressure corresponding to the normal gas flow mark on each monitoring day; The maximum value is selected from the highest internal pressure of the monitoring pipeline under the corresponding normal gas flow monitoring mark on each monitoring day, and the minimum value is selected from the lowest internal pressure of the pipeline under the corresponding normal gas flow monitoring mark on each monitoring day, and the selected maximum and minimum values ​​are combined into a reference pipeline internal pressure range; Compare the internal pressure of the pipeline at each key node monitored at the same time point with the internal pressure range of the reference pipeline, count the number of key nodes located in the internal range of the reference pipeline, and divide it by the number of key nodes, and use the ratio as the matching key node ratio; The minimum key node ratio of anastomosis is screened out from the key node ratios of anastomosis monitored in real time, and the minimum key node ratio of anastomosis is used as the evaluation variable. The pipeline internal pressure anastomosis degree NH is obtained by linear regression function statistics.

7. A building gas energy intelligent monitoring and control system as claimed in claim 2, characterized in that: The confirmation of gas abnormality items includes: If condition 1 or condition 2 is met, the abnormal gas flow rate is regarded as a gas abnormality item; If condition 3 is met and conditions 1, 2 and 4 are not met, the abnormality inside the pipeline is regarded as a gas abnormality item; If condition 4 is met, the abnormal gas pressure is regarded as a gas abnormality item.

8. The intelligent monitoring and control system for building gas energy according to claim 7, characterized in that: The gas anomaly guidance degree under the gas anomaly analysis item includes: If the gas abnormality item is a gas flow abnormality, the maximum gas flow and the set reference gas flow are recorded as l max and l′, As the gas anomaly guidance degree, it is denoted as λgl, and e is a natural constant; If the gas abnormality is due to an abnormality inside the pipeline, 1-e WH′-WH As the gas anomaly guidance degree, it is denoted as λgb; If the gas abnormality item is the gas pressure, the gas abnormality guidance degree under the gas abnormality item is calculated in the same way as λgb, and is recorded as λgn.

9. A building gas energy intelligent monitoring and control system as claimed in claim 8, characterized in that: The abnormal control scheme for analyzing abnormal gas items includes: If the gas abnormality item is gas flow abnormality, and its gas abnormality guidance degree is less than the set reference gas abnormality degree, the gas flow abnormality warning instruction will be activated as the abnormality control plan; if the gas abnormality guidance degree is greater than or equal to the set reference gas abnormality degree, the gas valve closing instruction and the gas flow abnormality warning instruction will be activated as the abnormality control plan; If the gas abnormality item is an internal abnormality of the pipeline, and the corresponding gas abnormality guidance degree is less than the set reference gas abnormality degree, the gas pipeline internal abnormality warning instruction will be activated as the abnormality control plan; if the gas abnormality guidance degree is greater than or equal to the set reference gas abnormality degree, the gas valve closing instruction and the gas pipeline internal abnormality warning instruction will be activated as the abnormality control plan; If the gas abnormality item is gas pressure abnormality, and the corresponding gas abnormality guidance degree is less than the set reference gas abnormality degree, confirm the internal pipeline pressure adjustment index and use it as an abnormality control plan. If the corresponding gas abnormality degree is greater than or equal to the reference gas abnormality degree, start the gas valve closing instruction and start the gas pipeline internal abnormality warning instruction as an abnormality control plan.

10. The intelligent monitoring and control system for building gas energy according to claim 9, characterized in that: The step of confirming the internal pressure adjustment index of the pipeline includes: Extract the initial trigger pipeline internal pressure interval set when the pressure regulating device is regulating the pressure from the database, and extract the upper limit and lower limit of the initial trigger pipeline internal pressure interval, which are recorded as N max and N min ; N max *(1-λgn) is used as the upper limit of the pressure range inside the trigger pipe. min *(1+λgn) is used as the lower limit value of the adjustment triggering pipeline internal pressure range, and the two are combined to form the adjustment triggering pipeline internal pressure range, which is used as the pipeline internal pressure adjustment index.

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