A remote monitoring method and system for pressure vessel safety

Abstract

The present application relates to the field of data processing technology, and in particular to a remote monitoring method and system for the safety of pressure vessels. The method includes: obtaining multiple pressure values ​​of the location point of the pressure vessel within a preset time period at a historical moment, and determining the pressure characteristic vector of the location point at the historical moment based on the multiple pressure values; for the key location point among the multiple location points of the pressure vessel, determining the first location point and the second location point located on both sides of the key location point; determining the parameter value of the key location point at the historical moment based on the pressure characteristic vector of the first location point and the second location point at the historical moment; based on the parameter value of the key location point at the historical moment, performing weighted average filtering on the pressure values ​​of the key location point at multiple historical moments to obtain the target pressure value, so as to remotely monitor the key location point. Through the above technical scheme, the monitoring of the pressure vessel can be realized more accurately.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a remote monitoring method and system for pressure vessel safety. Background Art

[0002] A pressure vessel is a closed pressure-bearing device that can safely store and transport gas and liquid media in the fields of industry, civil use, and scientific research. Pressure vessels have a compact structure and strong pressure-bearing capacity. In the chemical, petrochemical, and energy industries, pressure vessels play an irreplaceable role. Pressure vessels can provide necessary support for various process steps. In order to ensure the safety of pressure vessels, the pressure state of pressure vessels can be monitored.

[0003] When monitoring a pressure vessel, a related technology, such as a Chinese patent application document with publication number CN118500613A, provides a pressure monitoring method for a pressure vessel, including: when the pressure vessel is in a preset working stage, obtaining the actual pressure value of the pressure vessel through the pressure detection module; wherein the preset working stage includes at least one of a pressurization stage, a pressure maintaining stage and a pressure relief stage; judging whether the actual pressure value of the pressure vessel is abnormal based on the actual pressure value of the pressure vessel and a preset pressure boundary curve corresponding to the preset working stage; the preset pressure boundary curve corresponding to the preset working stage includes a preset overpressure boundary curve, and / or a preset underpressure boundary curve, and the preset overpressure boundary curve is a curve of the corresponding relationship between the duration of the preset working stage and the upper pressure limit of the preset working stage; when it is determined that the actual pressure value of the pressure vessel is abnormal, outputting a corresponding warning signal.

[0004] When the related art performs pressure monitoring based on the acquired pressure value, the acquired pressure value may be affected by noise data, making it difficult to accurately monitor the pressure vessel. Summary of the invention

[0005] In order to overcome the problem in the related art that it is difficult to accurately monitor pressure vessels, the present application provides a remote monitoring method and system for pressure vessel safety.

[0006] According to a first aspect of an embodiment of the present application, a remote monitoring method for the safety of a pressure vessel is provided, comprising: obtaining a plurality of pressure values ​​of a location point of the pressure vessel within a preset time period at a historical moment, and determining a pressure feature vector of the location point at the historical moment based on the plurality of pressure values; for a key location point among the plurality of location points of the pressure vessel, determining a first location point and a second location point located on both sides of the key location point from the plurality of location points; determining a parameter value of the key location point at the historical moment based on the pressure feature vector of the first location point at the historical moment and the pressure feature vector of the second location point at the historical moment; performing a weighted average filtering on the pressure values ​​of the key location point at multiple historical moments before the current moment based on the parameter value of the key location point at the historical moment, and obtaining a target pressure value of the key location point at the current moment, so as to remotely monitor the key location point based on the target pressure value; wherein, the parameter value at the historical moment , exp is an exponential function with a natural constant as base, is the pressure value of the key position at the historical moment, is the average pressure value of the key location point in the preset time period at the historical moment, is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment, is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the previous moment of the historical moment.

[0007] In this way, multiple pressure values ​​of the location point of the pressure vessel at the preset time period at the historical moment are obtained, and the pressure characteristic vector of the location point at the historical moment is determined based on the multiple pressure values; the parameter value of the key location point at the historical moment is determined based on the pressure characteristic vector of the first location point at the historical moment and the pressure characteristic vector of the second location point at the historical moment, the first location point and the second location point are located on both sides of the key location point, and according to the parameter value of the key location point at the historical moment, the pressure values ​​of the key location point at multiple historical moments before the current moment are weighted average filtered to obtain the target pressure value of the key location point at the current moment. The obtained target pressure value can avoid the influence of noise. Therefore, remote monitoring of the key location point based on the target pressure value can more accurately monitor the pressure vessel.

[0008] Optionally, the pressure characteristic vector of the location point at the historical moment is determined based on multiple pressure values, including: determining the average pressure value, the variance of the pressure values, and the range of the pressure values ​​of the location point in the preset time period at the historical moment based on multiple pressure values ​​of the location point in the preset time period at the historical moment; and using the vector including the average pressure value, the variance of the pressure value, and the range of the pressure value of the location point in the preset time period at the historical moment as the pressure characteristic vector of the location point at the historical moment.

[0009] In this way, the pressure characteristic vector of the location point at the historical moment obtained can more comprehensively reflect the pressure characteristics of the location point in the time period of the historical moment, which is convenient for comparing the pressure characteristics of the same location point at different historical moments, or, for comparing the pressure characteristics of different location points at the same historical moment.

[0010] Optionally, a first position point and a second position point located on both sides of the key position point are determined from multiple position points, including: taking a position point closest to the key position point among multiple position points located upstream of the key position point as the first position point corresponding to the key position point; taking a position point closest to the key position point among multiple position points located downstream of the key position point as the second position point corresponding to the key position point.

[0011] In this way, since the first position point and the second position point are position points connected to the key position point, by selecting the first position point upstream of the key position point and selecting the second position point downstream of the key position point, it is helpful to avoid possible noise in the pressure value of the key position point by measuring the pressure conditions of the first position point and the second position point, so as to better monitor the key position point.

[0012] Optionally, the key location points include: a bend in the pipeline of the pressure vessel and a location point in the pipeline of the pressure vessel where the historical failure rate is greater than a preset threshold.

[0013] In this way, the bends of the pressure vessel's pipeline and the locations in the pressure vessel's pipeline where the historical failure rate is greater than a preset threshold are used as key locations in the pressure vessel. Since these locations have a higher probability of abnormalities occurring, the pressure monitoring of the pressure vessel can be better achieved.

[0014] Optionally, the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment is obtained by: , where U is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment, exp is the indicator function with the natural constant as the base, is the cosine similarity function, is the pressure characteristic vector of the first position point at the historical moment, is the pressure characteristic vector of the second position point at the historical moment.

[0015] Optionally, the target pressure value of the key position point at the current moment is obtained by: determining the filter weight value of the key position point at the historical moment according to the parameter values ​​of the key position point at multiple historical moments, and performing weighted average filtering on the pressure values ​​at multiple historical moments according to the filter weight value of the key position point at the historical moment to obtain the target pressure value; wherein, the filter weight value of the key position point at the historical moment is obtained by: , is the filtering weight value of the key position point at the mth historical moment, is an exponential function with a natural constant as base, is the fluctuation value of the pressure value of the key position point at the mth historical moment, is the parameter value of the key position point at the mth historical moment, K is the number of historical moments before the current moment, is the fluctuation value of the pressure value of the key position point at the i-th historical moment, is the parameter value of the key position point at the i-th historical moment.

[0016] Optionally, the fluctuation degree value is determined by: , is the fluctuation value of the pressure value of the key position point at the mth historical moment, is the pressure value of the key position at the mth historical moment, is the average pressure value of the key location point in the preset time period of m historical moments, is the maximum pressure value of the key position point in the preset time period of m historical moments, To take the absolute value.

[0017] In this way, by comparing the pressure value of the key position point at the historical moment with the average pressure value of the key position point in the preset time period at the historical moment, the obtained fluctuation degree value can better characterize the fluctuation degree of the pressure value of the key position point in the preset time period at the historical moment.

[0018] According to a second aspect of an embodiment of the present application, a remote monitoring system for pressure vessel safety is provided, comprising: a processor and a memory, the memory storing computer program instructions, and the computer program instructions, when executed by the processor, implement the steps of the remote monitoring method for pressure vessel safety provided in the first aspect of the present application.

[0019] The technical solution provided by the embodiments of the present application may include the following beneficial effects: obtaining multiple pressure values ​​of the location point of the pressure vessel at the historical moment within a preset time period, and determining the pressure characteristic vector of the location point at the historical moment based on the multiple pressure values; determining the parameter value of the key location point at the historical moment based on the pressure characteristic vector of the first location point at the historical moment and the pressure characteristic vector of the second location point at the historical moment, the first location point and the second location point are located on both sides of the key location point, and according to the parameter value of the key location point at the historical moment, the pressure values ​​of the key location point at multiple historical moments before the current moment are weighted average filtered to obtain the target pressure value of the key location point at the current moment. The obtained target pressure value can avoid the influence of noise, so remote monitoring of the key location point based on the target pressure value can more accurately monitor the pressure vessel.

[0020] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0022] Figure 1 is a flow chart showing a remote monitoring method for pressure vessel safety according to an exemplary embodiment;

[0023] Figure 2 It is a schematic structural diagram of a remote monitoring system for pressure vessel safety according to an exemplary embodiment. DETAILED DESCRIPTION

[0024] Here, exemplary embodiments are described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementations described in the following exemplary embodiments do not represent all implementations consistent with the present application.

[0025] First, the application scenario of the embodiment of the present application is briefly introduced. In the application scenario of the present application, the pressure value of the pressure vessel can be obtained by a pressure sensor arranged inside the pressure vessel, so that the pressure state of the pressure vessel can be monitored through the pressure value.

[0026] However, the pressure value acquired by the pressure sensor at a single moment may be affected by noise, so that it is difficult to accurately monitor the pressure of the pressure vessel when directly monitoring the pressure value acquired by the pressure sensor.

[0027] In view of the above technical problems, the present application provides a remote monitoring method and system for pressure vessel safety. Figure 1 is a flow chart of a remote monitoring method for pressure vessel safety according to an exemplary embodiment, which can be used to monitor the pressure of a pressure vessel, such as Figure 1 As shown, the method includes the following steps.

[0028] In step S101, a plurality of pressure values ​​of a location point of a pressure vessel within a preset time period at a historical moment are obtained, and a pressure feature vector of the location point at the historical moment is determined according to the plurality of pressure values.

[0029] A pressure sensor may be provided in the pressure vessel to obtain the pressure value of a position point in the pressure vessel. Multiple pressure sensors may be provided at multiple position points in the pressure vessel to obtain the pressure values ​​of multiple position points in the pressure vessel, so as to monitor the pressure of multiple position points in the pressure vessel. Different position points correspond to different pressure sensors.

[0030] Based on multiple pressure values ​​of the location point within the preset time period of the historical moment, for example, 20 seconds before the historical moment can be used as the preset time period of the historical moment; or, 10 seconds before the historical moment and 10 seconds before the historical moment can be used as the preset time period of the historical moment. The length of the preset time period can be set according to actual needs.

[0031] The multiple pressure values ​​of the location point within the preset time period at the historical moment can better reflect the pressure situation of the location point at the historical moment. For example, when all the pressure values ​​of the location point within the preset time period at the historical moment are equal, it means that the pressure value of the location point of the pressure vessel within the preset time period at the historical moment is relatively stable, and the probability that the pressure value of the location point at the historical moment is affected by noise is low.

[0032] In one embodiment, a pressure characteristic vector of a location point at a historical moment is determined based on multiple pressure values, including: determining an average pressure value, a variance of the pressure values, and a range of the pressure values ​​of the location point within the preset time period at the historical moment based on multiple pressure values ​​of the location point within the preset time period at the historical moment; and using a vector including the average pressure value, the variance of the pressure values, and the range of the pressure values ​​of the location point within the preset time period at the historical moment as the pressure characteristic vector of the location point at the historical moment.

[0033] The average pressure value of the location point within the preset time period where the historical moment is located can represent the average pressure level of the location point within the preset time period where the historical moment is located; the variance of the pressure value of the location point within the preset time period where the historical moment is located can represent the frequency of changes in the pressure value of the location point within the preset time period where the historical moment is located.

[0034] Among them, the larger the variance of the pressure value of the location point within the preset time period where the historical moment is located, the greater the frequency of changes in the pressure value of the location point within the preset time period where the historical moment is located; on the contrary, the smaller the variance of the pressure value of the location point within the preset time period where the historical moment is located, the smaller the frequency of changes in the pressure value of the location point within the preset time period where the historical moment is located.

[0035] The range of the pressure value of the location point within the preset time period at the historical moment is equal to the difference between the maximum pressure value and the minimum pressure value of the location point within the preset time period at the historical moment; the range of the pressure value of the location point within the preset time period at the historical moment can characterize the amplitude of the pressure change of the location point within the preset time period at the historical moment.

[0036] Among them, the greater the range of the pressure value of the location point within the preset time period where the historical moment is located, the greater the change amplitude of the pressure of the location point within the preset time period where the historical moment is located; on the contrary, the smaller the range of the pressure value of the location point within the preset time period where the historical moment is located, the smaller the change amplitude of the pressure of the location point within the preset time period where the historical moment is located.

[0037] Since the variance of the pressure value can characterize the frequency of changes in the pressure value of the location point within the preset time period at the historical moment; the range of the pressure value can characterize the amplitude of the pressure change at the location point within the preset time period at the historical moment, combining the average pressure value, the variance of the pressure value and the range of the pressure value at the preset time period at the historical moment can avoid the limitations of a single numerical value in the average pressure value, the variance of the pressure value and the range of the pressure value, so that the obtained pressure characteristic vector can more comprehensively reflect the pressure characteristics of the location point in the time period at the historical moment.

[0038] Furthermore, by combining the average pressure value, variance and range into one vector, it is convenient to compare the pressure characteristics of the same location at different historical moments, or to compare the pressure characteristics of different locations at the same historical moment.

[0039] Since the obtained pressure feature vector is determined based on the average pressure value, the variance of the pressure value, and the range of the pressure value within the preset time period of the location point at the historical moment, the pressure feature vector can not only better reflect the pressure characteristics of the location point at the historical moment, but also has fewer vector elements than directly forming a vector with multiple pressure values ​​of the location point within the preset time period of the historical moment. When the pressure characteristics of the same location point at different historical moments are subsequently compared, or when the pressure characteristics of different location points at the same historical moment are compared, the amount of calculation required for comparing vectors can be reduced.

[0040] The vector elements in the pressure characteristic vector can be arranged in the order of average pressure value, variance of pressure value and range of pressure value, or in the order of average pressure value, range of pressure value and variance of pressure value, or in the order of variance of pressure value, average pressure value and range of pressure value. The embodiments of the present application do not limit the specific order of average pressure value, variance of pressure value and range of pressure value in the pressure characteristic vector.

[0041] In this way, the pressure characteristic vector of the location point at the historical moment obtained can more comprehensively reflect the pressure characteristics of the location point in the time period of the historical moment, which is convenient for comparing the pressure characteristics of the same location point at different historical moments, or, for comparing the pressure characteristics of different location points at the same historical moment.

[0042] In step S102, for a key position point among a plurality of position points of the pressure vessel, a first position point and a second position point located on both sides of the key position point are determined from the plurality of position points.

[0043] The pressure vessel may include multiple location points, and the fluid in the pressure vessel may flow between different location points through pipelines. For example, the fluid may enter the pressure vessel through an inlet valve, flow in different branches of the pressure vessel, and flow out of the pressure vessel from an outlet valve.

[0044] When the fluid in the pressure vessel is in a flowing state, the pressures at different locations may be different due to different flow velocities of the fluid at different locations in the pressure vessel or different cross-sectional areas of the pipelines at different locations.

[0045] Although the pressures at different locations may be different, there is usually a certain correlation between the pressure values ​​at different locations of the flow. For example, when there is no diversion or confluence in the same pipeline, the pressure value at the upstream location in the pipeline is positively correlated with the pressure value at the downstream location; the greater the pressure value at the upstream location, the greater the pressure value at the downstream location.

[0046] When the fluid in the pressure vessel flows through a bend in the pipeline, the pressure of the fluid may be lost to a certain extent. If the pressure loss of the fluid at the bend exceeds the normal loss, the fluid in the pressure vessel may have leaked at the bend.

[0047] In order to better monitor the pressure at a point in the pressure vessel, and because leakage is more likely to occur at a bend than at a straight line in the pipeline, the bend of the pipeline of the pressure vessel can be used as a key point.

[0048] Alternatively, there may be other parts in the pressure vessel that are prone to failure. These parts usually show a high historical failure rate. Therefore, the location points in the pipeline of the pressure vessel where the historical failure rate is greater than a preset threshold can be used as key locations in the pressure vessel; the historical failure rate can refer to the proportion of failures occurring in the same time interval, and the preset threshold can be determined based on actual needs.

[0049] In this way, the bends of the pressure vessel's pipeline and the locations in the pressure vessel's pipeline where the historical failure rate is greater than a preset threshold are used as key locations in the pressure vessel. Since these locations have a higher probability of abnormalities occurring, the pressure monitoring of the pressure vessel can be better achieved.

[0050] In one embodiment, a first position point and a second position point located on both sides of a key position point are determined from a plurality of position points, including: taking a position point closest to the key position point among a plurality of position points located upstream of the key position point as the first position point corresponding to the key position point; taking a position point closest to the key position point among a plurality of position points located downstream of the key position point as the second position point corresponding to the key position point.

[0051] For key positions in pressure vessels, the pressure conditions of the key positions can be determined more accurately through the pressure conditions of the upstream positions and the downstream positions, so as to avoid the influence of noise that may exist in the pressure values ​​of the key positions.

[0052] For example, for position point P0 located at a bend in a pressure vessel, position point P1 that is closest to position point P0 among multiple position points located upstream of position point P0 can be used as the first position point of position point P0; and position point P2 that is closest to position point P0 among multiple position points located downstream of position point P0 can be used as the second position point of position point P0.

[0053] Since the first position point is located upstream of the key position point, there is a certain correlation between the pressure values ​​of the first position point and the key position point, and the pressure characteristics of the position point can be represented by the pressure characteristic vector of the position point. Therefore, there is a certain correlation between the pressure characteristic vector of the first position point and the pressure characteristic vector of the key position point.

[0054] As the second position point located downstream of the key position point, there is a certain correlation between the pressure values ​​of the second position point and the key position point, and the pressure characteristics of the position point can be characterized by the pressure feature vector of the position point. Therefore, there is a certain correlation between the pressure feature vector of the second position point and the pressure feature vector of the key position point.

[0055] Since there is a certain correlation between the pressure feature vector of the first position point and the pressure feature vector of the key position point, and there is a certain correlation between the pressure feature vector of the second position point and the pressure feature vector of the key position point, there is a certain correlation between the pressure feature vector of the first position point and the pressure feature vector of the second position point.

[0056] When there is no abnormality at the key position point, the correlation between the pressure feature vector of the first position point and the pressure feature vector of the second position point is consistent at different times.

[0057] On the contrary, when an abnormality exists at a key position point, such as leakage of fluid in a pressure vessel at a key position point, the correlation between the pressure characteristic vector of the first position point and the pressure characteristic vector of the second position point is destroyed in the original consistency at different times. Therefore, the pressure monitoring of the key position point can be better achieved through the pressure characteristic vector of the first position point and the pressure characteristic vector of the second position point.

[0058] In this way, since the first position point and the second position point are position points connected to the key position point, by selecting the first position point upstream of the key position point and selecting the second position point downstream of the key position point, it is helpful to avoid possible noise in the pressure value of the key position point by measuring the pressure conditions of the first position point and the second position point, so as to better monitor the key position point.

[0059] In step S103, the parameter value of the key position point at the historical moment is determined according to the pressure feature vector of the first position point at the historical moment and the pressure feature vector of the second position point at the historical moment.

[0060] Based on the pressure characteristic vector of the first position point at the historical moment and the pressure characteristic vector of the second position point at the historical moment, a characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment can be determined. The characteristic difference index is used to characterize the degree of difference in the pressure characteristic vectors of the first position point and the second position point at the historical moment.

[0061] Among them, the larger the characteristic difference index of the historical moment, the greater the difference between the pressure characteristic vector of the first position point at the historical moment and the pressure characteristic vector of the second position point at the historical moment; on the contrary, the smaller the characteristic difference index of the historical moment, the smaller the difference between the pressure characteristic vector of the first position point at the historical moment and the pressure characteristic vector of the second position point at the historical moment.

[0062] The difference information of the characteristic difference index of the historical moment relative to the characteristic difference index of the moment before the historical moment can be determined, and the parameter value of the key position point at the historical moment can be determined based on the difference information.

[0063] The difference information is used to characterize the degree of difference between the characteristic difference index of the historical moment and the characteristic difference index of the moment before the historical moment. Since the characteristic difference index is used to characterize the degree of difference between the pressure characteristic vectors of the first position point and the second position point at the historical moment, and there is a certain correlation between the pressure characteristic vectors of the first position point and the second position point, the degree of difference between the pressure characteristic vectors of the first position point and the second position point is within a certain range. Therefore, when there is no abnormality at the key position points of the pressure vessel, the difference between the characteristic difference indexes of the key position points at adjacent moments is small.

[0064] The difference information can reflect the probability of anomalies existing at key locations, or the difference information can characterize the probability that the pressure value of the key location at a historical moment is affected by noise.

[0065] Parameter values ​​at historical moments , exp is an exponential function with a natural constant as base, is the pressure value of the key position at the historical moment, is the average pressure value of the key location point in the preset time period at the historical moment, is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment, is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the previous moment of the historical moment.

[0066] The parameter value at the historical moment is used for the probability that the pressure value of the key position point at the historical moment is not affected by noise. The larger the parameter value at the historical moment, the greater the probability that the pressure value of the key position point at the historical moment is not affected by noise. A larger weight can be set for the pressure value of the key position point at the historical moment to increase the contribution of the pressure value not affected by noise to the pressure value at the current moment.

[0067] On the contrary, the smaller the parameter value at the historical moment, the smaller the probability that the pressure value of the key position point at the historical moment is not affected by noise. A smaller weight can be set for the pressure value of the key position point at the historical moment to reduce the contribution of the pressure value affected by noise to the pressure value at the current moment.

[0068] In one embodiment, the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment is obtained by: , where U is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment, exp is the indicator function with the natural constant as the base, is the cosine similarity function, is the pressure characteristic vector of the first position point at the historical moment, is the pressure characteristic vector of the second position point at the historical moment.

[0069] The cosine similarity function can be used to determine the similarity value between the pressure feature vectors of the first position point and the second position point at historical moments. The similarity value obtained according to the cosine similarity function is between -1 and 1. By summing the similarity value with 1 and dividing the sum by 2, the variable of the exponential function can be controlled between 0 and 1, which can not only compare the difference between the pressure feature vectors of the first position point and the second position point at historical moments, but also make the obtained feature difference index between 0 and 1.

[0070] In this way, since the pressure feature vector can characterize the pressure characteristics of the location point, by comparing the pressure feature vector of the first location point at the historical moment with the pressure feature vector of the second location point at the historical moment, the characteristic difference index at the historical moment can be determined, which can provide a basis for filtering the pressure values ​​of the key location points at the historical moment.

[0071] In step S104, based on the parameter values ​​of the key position points at historical moments, weighted average filtering is performed on the pressure values ​​of the key position points at multiple historical moments before the current moment to obtain the target pressure value of the key position points at the current moment, so as to remotely monitor the key position points based on the target pressure value.

[0072] Weighted average filtering can reduce the impact of random noise by weighting the data. Since the weighted average filtering of pressure values ​​at multiple historical moments is performed based on the parameter values ​​of key position points at historical moments, the parameter values ​​of key position points at historical moments can characterize the probability that the pressure values ​​of key position points at historical moments are not affected by noise. Therefore, a more accurate weighted average filtering result can be obtained, and a more accurate pressure value of the key position point at the current moment can be obtained.

[0073] In one embodiment, the target pressure value of the key position point at the current moment is obtained by: determining the filter weight value of the key position point at the historical moment according to the parameter values ​​of the key position point at multiple historical moments, and performing weighted average filtering on the pressure values ​​at multiple historical moments according to the filter weight value of the key position point at the historical moment to obtain the target pressure value; wherein the filter weight value of the key position point at the historical moment is obtained by: , is the filtering weight value of the key position point at the mth historical moment, is an exponential function with a natural constant as base, is the fluctuation value of the pressure value of the key position point at the mth historical moment, is the parameter value of the key position point at the mth historical moment, K is the number of historical moments before the current moment, is the fluctuation value of the pressure value of the key position point at the i-th historical moment, is the parameter value of the key position point at the i-th historical moment.

[0074] In this way, the fluctuation degree value of the pressure value of the key position point at the historical moment can characterize the fluctuation degree of the pressure value of the key position point itself in the previous period of time at the historical moment. The parameter value of the key position point at the historical moment is determined according to the pressure conditions of the first position point and the second position point of the key position point. Therefore, combining the fluctuation degree value and the parameter value can more accurately assign corresponding weights to the pressure values ​​of the key position points at the historical moments, so as to better realize the weighted average filtering of the pressure values ​​of the key position points.

[0075] The denominator of the filter weight value is determined based on the fluctuation degree values ​​and parameter values ​​at all historical moments, which can make the filter weight value of the key position point at a historical moment between 0 and 1, and can ensure that the sum of the filter weight values ​​of the key position point at all moments is 1.

[0076] In one embodiment, the fluctuation degree value is determined by: , is the fluctuation value of the pressure value of the key position point at the mth historical moment, is the pressure value of the key position at the mth historical moment, is the average pressure value of the key location point in the preset time period of m historical moments, is the maximum pressure value of the key position point in the preset time period of m historical moments, To take the absolute value.

[0077] By comparing the pressure value of the key position point at the historical moment with the average pressure value of the key position point in the preset time period at the historical moment, the fluctuation degree of the pressure value of the key position point at the historical moment can be effectively determined. By taking the maximum pressure value of the key position point in the preset time period at the historical moment as the denominator, the normalization processing of the fluctuation degree value can be achieved, which facilitates the comparison of the fluctuation degree values ​​of the key position points at different historical moments.

[0078] In this way, by comparing the pressure value of the key position point at the historical moment with the average pressure value of the key position point in the preset time period at the historical moment, the obtained fluctuation degree value can better characterize the fluctuation degree of the pressure value of the key position point in the preset time period at the historical moment.

[0079] Remote monitoring of key positions according to target pressure values ​​may include: sending the target pressure value to a terminal device so that the terminal device remotely monitors the key positions according to the target pressure value, the terminal device and the pressure vessel being located in different spaces, thereby enabling the terminal device to remotely monitor the key positions in the pressure vessel.

[0080] The remote monitoring method for pressure vessel safety provided in the embodiment of the present application can be executed by an electronic device. The electronic device can be located in the space where the pressure vessel is located, for example, it can be located in the factory building where the pressure equipment is located. The electronic device can be communicated with a terminal device located in another space so as to send the target pressure value to the terminal device through the established communication connection.

[0081] For example, the terminal device can draw the target pressure values ​​of key positions at different times into visual graphs or visual tables, so that users can more intuitively view the pressure conditions of key positions at remote locations of the pressure vessel. The number of key positions in the pressure vessel can be one or more.

[0082] Through the remote monitoring method for pressure vessel safety provided in the embodiment of the present application, multiple pressure values ​​of the location point of the pressure vessel at the historical moment within a preset time period are obtained, and the pressure characteristic vector of the location point at the historical moment is determined based on the multiple pressure values; based on the pressure characteristic vector of the first location point at the historical moment and the pressure characteristic vector of the second location point at the historical moment, the parameter value of the key location point at the historical moment is determined, the first location point and the second location point are located on both sides of the key location point, and based on the parameter value of the key location point at the historical moment, the pressure values ​​of the key location point at multiple historical moments before the current moment are weighted average filtered to obtain the target pressure value of the key location point at the current moment. The obtained target pressure value can avoid the influence of noise. Therefore, remote monitoring of the key location point based on the target pressure value can more accurately monitor the pressure vessel.

[0083] Figure 2 FIG. 1 is a schematic diagram of a remote monitoring system 1000 for pressure vessel safety according to an exemplary embodiment. Figure 2 The remote monitoring system 1000 for pressure vessel safety includes: a processor 1100 and a memory 1200, wherein the memory 1200 stores computer program instructions, and when the computer program instructions are executed by the processor 1100, all or part of the steps of the remote monitoring method for pressure vessel safety in the present application are implemented.

[0084] It should be understood that the features of some embodiments of the various applications described herein may be combined with each other, unless specifically stated otherwise.

[0085] Although terms such as "first", "second", and "third" may be used herein to describe various components, parts, regions, layers, or sections, these components, parts, regions, layers, or sections are not limited to these terms. Instead, these terms are only used to distinguish one component, part, region, layer, or section from another component, part, region, layer, or section. Therefore, without departing from the teachings of the examples described herein, the first component, part, region, layer, or section mentioned in the examples may also be referred to as the second component, part, region, layer, or section.

[0086] In addition, the terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In the description herein, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0087] In addition, the word "exemplary" is used herein to mean serving as an example, instance, or diagram. Any aspect or design described herein as "exemplary" is not necessarily to be understood as being advantageous over other aspects or designs. Instead, the use of the word exemplary is intended to present concepts in a concrete manner. As used herein, the term "or" is intended to mean an inclusive "or" rather than an exclusive "or".

[0088] Likewise, although the present application has been shown and described with respect to one or more implementations, equivalent variations and modifications will occur to those skilled in the art upon reading and understanding this specification and the accompanying drawings. With particular regard to the various functions performed by the components (e.g., elements, resources, etc.) described above, unless otherwise noted, the terms used to describe such components are intended to correspond to any component (functionally equivalent) that performs the specific functions of the described components, even if not structurally equivalent to the disclosed structures.

[0089] Those skilled in the art will readily appreciate other embodiments of the present application after considering the specification and practicing the invention disclosed herein. The present application is intended to cover any modification, use or adaptation of the present application, which follows the general principles of the present application and includes common knowledge or customary technical means in the art that are not disclosed in the present application, and the specification and embodiments are only considered as exemplary.

[0090] It should be understood that the present application is not limited to the exact construction that has been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof.

Claims

1. A remote monitoring method for pressure vessel safety, characterized in that: include: Acquiring multiple pressure values ​​of the location point of the pressure vessel within a preset time period at a historical moment, and determining the pressure characteristic vector of the location point at the historical moment, including: According to a plurality of pressure values ​​of the location point in a preset time period at the historical moment, a vector including an average pressure value, a variance of the pressure value, and a range of the pressure value in the preset time period at the historical moment is determined, and the vector is used as a pressure feature vector of the location point at the historical moment; For a key position point among multiple position points of a pressure vessel, determining a first position point and a second position point located on both sides of the key position point from the multiple position points, including: Among the multiple position points located upstream and downstream of the key position point, the position point closest to the key position point is used as the first position point and the second position point corresponding to the key position point respectively; Determine the parameter value of the key position point at the historical moment according to the pressure characteristic vector of the first position point and the second position point at the historical moment; According to the parameter values ​​of the key position points at multiple historical moments, the filter weight values ​​of the key position points at the historical moments are determined, so as to perform weighted average filtering on the pressure values ​​at the multiple historical moments, obtain the target pressure value of the key position points at the current moment, and remotely monitor the key position points according to the target pressure value; Among them, the filtering weight value of the key position point at the historical moment is related to the fluctuation degree value of the pressure value of the key position point at the historical moment, the parameter value of the key position point at the historical moment, and the number of historical moments before the current moment; Among them, the parameter values ​​at historical moments , exp is an exponential function with a natural constant as base, is the pressure value of the key position at the historical moment, is the average pressure value of the key location point in the preset time period at the historical moment, is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the previous moment of the historical moment; It is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment, and is related to the pressure characteristic vectors of the first position point and the second position point at the historical moment.

2. The remote monitoring method for pressure vessel safety according to claim 1, characterized in that: The key locations include: The bends of the pipeline of the pressure vessel and the locations in the pipeline of the pressure vessel where the historical failure rate is greater than a preset threshold.

3. The remote monitoring method for pressure vessel safety according to claim 1, characterized in that: The characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment is obtained by the following method: , where U is the characteristic difference index between the pressure characteristic vectors of the first position point and the second position point at the historical moment, exp is the indicator function with the natural constant as the base, is the cosine similarity function, is the pressure characteristic vector of the first position point at the historical moment, is the pressure characteristic vector of the second position point at the historical moment.

4. The remote monitoring method for pressure vessel safety according to claim 1, characterized in that: The filter weight values ​​of key location points at historical moments are obtained in the following way: , is the filtering weight value of the key position point at the mth historical moment, is an exponential function with a natural constant as base, is the fluctuation value of the pressure value of the key position point at the mth historical moment, is the parameter value of the key position point at the mth historical moment, K is the number of historical moments before the current moment, is the fluctuation value of the pressure value of the key position point at the i-th historical moment, is the parameter value of the key position point at the i-th historical moment.

5. The remote monitoring method for pressure vessel safety according to claim 4, characterized in that: The fluctuation degree value is determined in the following manner: , is the fluctuation value of the pressure value of the key position point at the mth historical moment, is the pressure value of the key position at the mth historical moment, is the average pressure value of the key location point in the preset time period of m historical moments, is the maximum pressure value of the key position point in the preset time period of m historical moments, To take the absolute value.

6. A remote monitoring system for pressure vessel safety, characterized in that: include: A processor and a memory, wherein the memory stores computer program instructions, and when the computer program instructions are executed by the processor, the remote monitoring method for pressure vessel safety according to any one of claims 1 to 5 is implemented.

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