Strain margin alarm method and device of container, electronic equipment and storage medium

Abstract

This application discloses a strain margin alarm method, device, electronic equipment, and storage medium for containers. By integrating multi-dimensional operating parameters of pressure vessel strain, pressure, and temperature, and combining preset safety thresholds to quantify and characterize the safety margin of the equipment's remaining load-bearing capacity, and relying on a precise safety margin range matching differential alarm mechanism, it can solve the technical problems of existing monitoring methods that only collect single strain data, cannot quantify the equipment's remaining safety capacity, have delayed safety assessments, and are inaccurate in early warning and maintenance decisions. It achieves the technical effects of accurately determining the operating safety status of pressure vessels, predicting equipment fatigue damage in advance, improving the timeliness of accident early warning and the accuracy of equipment maintenance decisions, and ensuring the safe operation of pressure vessels.

Description

Technical Field

[0001] This disclosure relates to the field of data processing technology, and in particular to a strain margin alarm method, apparatus, electronic device, and storage medium for a container. Background Technology

[0002] Pressure vessels are core pressure-bearing equipment in the petroleum, chemical, and energy industries, and the strain state of their local areas directly affects production safety and equipment lifespan. Related technologies utilize the coordinated operation of resistance strain gauges, pressure sensors, and temperature sensors to construct a strain monitoring system based on multi-parameter acquisition.

[0003] Existing strain monitoring methods cannot quantify the remaining safety capacity of local areas by acquiring single strain values. This leads to difficulties in accurately determining fatigue life due to the lack of pressure cycle data, resulting in delayed safety assessments and affecting the accuracy of equipment maintenance decisions and the timeliness of accident warnings. Summary of the Invention

[0004] This disclosure provides a method, apparatus, electronic device, and storage medium for alarming the strain margin of a container.

[0005] According to a first aspect of this disclosure, a strain margin alarm method for a container is provided, comprising:

[0006] Acquire at least one of the following: real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel; At least one of the real-time strain data, real-time pressure data, and real-time temperature data is compared with a corresponding preset safety threshold, and a safety margin is calculated based on the comparison results; wherein, the safety margin represents the remaining safety capacity. Execute corresponding graded alarms according to the safety margin; wherein, different safety margins correspond to different graded alarms; the graded alarms include on-site audible and visual alarms and communication alarms sent to remote terminals.

[0007] Optionally, acquiring at least one of the real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel includes: Strain signals in a local area of ​​the pressure vessel are acquired based on preset sensors; The strain signal is subjected to signal conditioning and analog-to-digital conversion to obtain digitized real-time strain data.

[0008] Optionally, calculating the safety margin based on the comparison results includes: The real-time strain data is compared with the strain safety value, the real-time pressure data with the pressure preset value, and the real-time temperature data with the temperature preset value to obtain the corresponding deviation values. The safety margin is obtained by weighting each deviation value with a preset weighting coefficient.

[0009] Optionally, the step of executing corresponding graded alarms based on the safety margin includes: When the safety level reaches the first warning level, the on-site audible and visual alarm unit is triggered to issue a warning, and the alarm information is pushed to the remote terminal through the communication unit; When the safety level reaches the second warning level, the on-site audible and visual alarm unit is triggered to issue an over-limit warning, and the alarm information and handling suggestions are pushed to the remote terminal through the communication unit.

[0010] Optionally, the method further includes: Real-time monitoring of pressure data; when the pressure data rises from below the preset lower pressure limit to above the preset upper pressure limit, and then falls back below the lower pressure limit, it is determined that a complete pressure cycle has been completed, and a count is performed.

[0011] Optionally, the method further includes: In response to an external control command, the pressure cycle count is reset or paused.

[0012] Optionally, the method further includes: Real-time data, safety margin, safety level, and number of pressure cycles are displayed and stored in real time.

[0013] According to a second aspect of this disclosure, a strain margin alarm device for a container is provided, comprising: The data acquisition unit is used to acquire at least one of the real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel. The margin calculation unit is used to compare at least one of the real-time strain data, real-time pressure data, and real-time temperature data with the corresponding preset safety threshold, and calculate the safety margin based on the comparison results; wherein, the safety margin represents the remaining safety capacity. A graded alarm unit is used to execute corresponding graded alarms according to the safety margin; wherein, different safety margins correspond to different graded alarms; the graded alarms include on-site audible and visual alarms and communication alarms sent to remote terminals.

[0014] Optionally, the data acquisition unit is further configured to: Strain signals in a local area of ​​the pressure vessel are acquired based on preset sensors; The strain signal is subjected to signal conditioning and analog-to-digital conversion to obtain digitized real-time strain data.

[0015] Optionally, the margin calculation unit is further configured to: The real-time strain data is compared with the strain safety value, the real-time pressure data with the pressure preset value, and the real-time temperature data with the temperature preset value to obtain the corresponding deviation values. The safety margin is obtained by weighting each deviation value with a preset weighting coefficient.

[0016] Optionally, the hierarchical alarm unit is further configured to: When the safety level reaches the first warning level, the on-site audible and visual alarm unit is triggered to issue a warning, and the alarm information is pushed to the remote terminal through the communication unit; When the safety level reaches the second warning level, the on-site audible and visual alarm unit is triggered to issue an over-limit warning, and the alarm information and handling suggestions are pushed to the remote terminal through the communication unit.

[0017] Optional, also includes: The cycle counting unit is used to monitor pressure data in real time. When the pressure data is detected to rise from below the preset lower pressure limit to above the preset upper pressure limit, and then fall back below the lower pressure limit, it is determined that a complete pressure cycle has been completed, and the count is performed.

[0018] Optional, also includes: The counting control unit is used to perform a zeroing or pausing operation on the pressure cycle count in response to an external control command.

[0019] Optional, also includes: The display storage unit is used to display and store real-time data, safety margins, safety levels, and stress cycle counts in real time.

[0020] According to a third aspect of this disclosure, an electronic device is provided, comprising: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect above.

[0021] According to a fourth aspect of this disclosure, a non-transitory computer-readable storage medium is provided storing computer instructions, wherein the computer instructions are configured to cause the computer to perform the method described in the first aspect above.

[0022] According to a fifth aspect of this disclosure, a computer program product is provided, comprising a computer program that, when executed by a processor, implements the method described in the first aspect above.

[0023] The strain margin alarm method, device, electronic equipment, and storage medium for containers provided in this disclosure integrate multi-dimensional operating parameters of the pressure vessel, such as strain, pressure, and temperature, and combine them with preset safety thresholds to quantitatively calculate and characterize the safety margin of the equipment's remaining load-bearing capacity. Relying on a precise safety margin range matching differential alarm mechanism, it can solve the technical problems of existing monitoring methods that only collect single strain data, cannot quantify the equipment's remaining safety capacity, have delayed safety assessments, and are inaccurate in early warning and maintenance decisions. It achieves the technical effects of accurately determining the operating safety status of pressure vessels, predicting equipment fatigue damage in advance, improving the timeliness of accident early warning and the accuracy of equipment maintenance decisions, and ensuring the safe operation of pressure vessels.

[0024] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this application, nor is it intended to limit the scope of this application. Other features of this application will become readily apparent from the following description. Attached Figure Description

[0025] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 A schematic flowchart illustrating a strain margin alarm method for a container provided in an embodiment of this disclosure; Figure 2 A schematic diagram of the structure of a strain margin alarm device for a container provided in an embodiment of this disclosure; Figure 3 A schematic diagram of the structure of another strain margin alarm device for a container provided in an embodiment of this disclosure; Figure 4 A schematic block diagram of an example electronic device provided for embodiments of this disclosure. Detailed Implementation

[0026] The exemplary embodiments of this disclosure are described below with reference to the accompanying drawings, including various details of the embodiments to aid understanding, and should be considered merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of this disclosure. Similarly, for clarity and brevity, descriptions of well-known functions and structures are omitted in the following description.

[0027] The strain margin alarm method, apparatus, electronic device, and storage medium of the container according to embodiments of the present disclosure are described below with reference to the accompanying drawings.

[0028] Figure 1 This is a schematic flowchart illustrating a strain margin alarm method for a container provided in an embodiment of this disclosure.

[0029] like Figure 1 As shown, the method includes the following steps: Step 101: Obtain at least one of the following: real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel; Based on a preset sampling sequence or external trigger command, an operation to sense the operational status of the target monitoring area of ​​the pressure vessel is initiated to collect at least one type of physical parameter reflecting the current structural response characteristics of the vessel. Specifically, the physical parameters are selected from a set of parameters that can characterize the local mechanical behavior or service environment state of the vessel. This set includes at least strain parameters for measuring the degree of deformation of the structural surface, pressure parameters for characterizing the internal medium pressure load, and temperature parameters for reflecting thermodynamic boundary conditions.

[0030] Depending on actual monitoring needs, sensor configuration resources, or the current stage of equipment operation, this data acquisition step can selectively and independently collect any one of the aforementioned parameters, or simultaneously collect any two or all three, thus forming differentiated input data sources. The acquired at least one real-time data point is not merely recorded as an independent value, but rather serves as the foundational input for subsequent quantitative assessment of safety status.

[0031] Through this selective acquisition mechanism, this method can flexibly adapt to different types of monitoring scenarios while ensuring the core monitoring functions. For example, as an optional implementation, to take into account both structural deformation monitoring and environmental load correction, this step can use resistance strain gauges in conjunction with pressure transmitters and resistance temperature sensors to simultaneously acquire strain, pressure, and temperature parameters, thereby constructing a multi-dimensional real-time state characterization vector.

[0032] Step 102: Compare at least one of the real-time strain data, real-time pressure data, and real-time temperature data with the corresponding preset safety threshold, and calculate the safety margin based on the comparison results; wherein, the safety margin represents the remaining safety capacity. First, a set of safety judgment benchmarks pre-stored in the system is retrieved. This set contains preset safety thresholds corresponding to different types of physical parameters. Each preset safety threshold is used to define the permissible limit boundary of the corresponding parameter under normal operating conditions. Then, at least one of the acquired real-time strain data, real-time pressure data, and real-time temperature data is numerically compared with the preset safety threshold corresponding to the same type of physical parameter to determine the positional relationship and degree of deviation of the current measured value relative to the threshold.

[0033] Based on the differences obtained from this comparison, this step further calculates the safety margin under the current state according to preset quantitative evaluation rules. The safety margin, as a quantitative index, is used to characterize the remaining bearing capacity or redundancy of the pressure vessel relative to a predetermined safety boundary at the monitoring moment. This comparison and calculation process supports both independent evaluation for a single parameter and comprehensive evaluation for multiple parameters, in order to adapt to the needs of different monitoring focuses and operating condition complexities.

[0034] As an optional implementation, this step can be achieved by the safety assessment module receiving measured data from the strain acquisition module and the parameter detection module, and calling the strain safety preset value, pressure upper and lower limits, and temperature upper and lower limits in the preset module. Using a quantitative formula that combines multi-parameter weighting or extreme value discrimination, the margin percentage or grade index used to characterize the structural safety remaining capacity can be calculated.

[0035] Step 103: Execute the corresponding graded alarm according to the safety margin; wherein, different safety margins correspond to different graded alarms; the graded alarms include on-site audible and visual alarms and communication alarms sent to remote terminals.

[0036] First, the current value of the safety margin is obtained and matched against multiple preset risk level division intervals within the system to determine the risk level to which the current state belongs. These multiple risk level division intervals do not overlap and collectively cover the complete range of possible safety margin values. Each level division interval corresponds to a preset alarm response strategy. Based on the determined risk level, this step invokes the output control logic associated with that level to execute the alarm operation matching that level. The alarm operation includes at least two independent notification methods on the physical transmission path: one is a locally perceptible notification for on-site equipment operators, and the other is a remote information report for a remote monitoring center or designated terminal device.

[0037] Through the aforementioned hierarchical matching and multi-output mechanism, this method ensures that risk situations of different urgency levels receive attention levels and response times commensurate with their severity, avoiding unnecessary emergency responses triggered by low-risk events, while ensuring that high-risk events receive immediate and definitive handling. For example, as an optional implementation, the locally perceptible prompts can be implemented using an audible and visual alarm unit, and the remote information reporting can be achieved by a communication alarm unit sending messages containing level identifiers and real-time data to remote terminals via wired or wireless networks, with different levels corresponding to different audible and visual frequencies, colors, or communication priorities.

[0038] In some embodiments, acquiring at least one of the real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel includes: Strain signals in a local area of ​​the pressure vessel are acquired based on preset sensors; The strain signal is subjected to signal conditioning and analog-to-digital conversion to obtain digitized real-time strain data.

[0039] Pre-set sensors are installed on the surface of the target monitoring area of ​​the pressure vessel, such as stress concentration areas like the heat-affected zone of welds, the transition section of the end cap, or the flange neck. These sensors are preferably resistance strain gauges, which utilize their piezoresistive effect to convert the micro-deformation of the structural surface into a change in resistance. The resistance strain gauge is connected to a signal conditioning circuit via a four-arm Wheatstone bridge to eliminate temperature drift and improve measurement sensitivity.

[0040] When the container is loaded, causing deformation in the patch area, the bridge outputs a differential voltage signal proportional to the strain. This weak analog signal is first amplified by the instrumentation amplifier in the signal conditioning circuit with a high common-mode rejection ratio, then filtered by a low-pass active filter network to remove high-frequency noise interference, and then input to the analog-to-digital converter circuit.

[0041] The analog-to-digital conversion circuit is preferably a successive approximation type or Σ-Δ type high-precision analog-to-digital converter, and its sampling frequency and resolution are configured according to the frequency band characteristics and accuracy requirements of the strain signal being measured. After analog-to-digital conversion, the analog voltage is converted into real-time digital strain data, and transmitted to the control module through digital interfaces such as SPI or I²C, thus completing the complete conversion link from physical deformation to processable digital information.

[0042] In some embodiments, calculating the safety margin based on the comparison results includes: The real-time strain data is compared with the strain safety value, the real-time pressure data with the pressure preset value, and the real-time temperature data with the temperature preset value to obtain the corresponding deviation values. The safety margin is obtained by weighting each deviation value with a preset weighting coefficient.

[0043] As a preferred implementation, the safety assessment module synchronously acquires real-time strain data from the strain acquisition module, real-time pressure data from the parameter detection module, and real-time temperature data from the control module. At the same time, it calls the strain safety value, pressure preset value (including upper and lower pressure limits), and temperature preset value (including upper and lower temperature limits) that have been entered in the preset module.

[0044] The safety assessment module compares each real-time data point with its corresponding preset safety value. For strain data, it calculates the difference or ratio between the measured strain value and the safe strain value as the strain deviation value. For pressure data, it calculates the pressure deviation value based on the degree to which the current pressure exceeds or falls below the preset upper or lower limit. For temperature data, it calculates the temperature deviation value based on the deviation of the current temperature from the preset upper and lower temperature limits. Each deviation value can be quantified in various forms, such as absolute deviation, relative deviation, or normalized deviation. After calculating each individual deviation value, the safety assessment module reads multiple pre-stored weighting coefficients from the preset module. These weighting coefficients correspond to the weight of strain, pressure, and temperature in the safety margin assessment, and their values ​​can be differentiated according to the design specifications, service history, and failure modes of different pressure vessels.

[0045] The safety assessment module multiplies each deviation value by its corresponding weighting coefficient, then sums or calculates a weighted average, and normalizes it using a preset benchmark value to obtain a dimensionless safety margin. For example, in a specific application, for thin-walled vessels primarily controlled by strain, the strain weighting coefficient can be set to 0.6, the pressure weighting coefficient to 0.3, and the temperature weighting coefficient to 0.1; while for vessels operating in high-temperature environments, the temperature weighting coefficient can be appropriately increased, thus allowing for flexible adjustment of the assessment focus.

[0046] In some embodiments, executing the corresponding tiered alarm based on the security margin includes: When the safety level reaches the first warning level, the on-site audible and visual alarm unit is triggered to issue a warning, and the alarm information is pushed to the remote terminal through the communication unit; When the safety level reaches the second warning level, the on-site audible and visual alarm unit is triggered to issue an over-limit warning, and the alarm information and handling suggestions are pushed to the remote terminal through the communication unit.

[0047] The alarm module includes an on-site audible and visual alarm unit and a communication alarm unit. When the safety assessment module determines that the current safety margin falls within the numerical range corresponding to the first warning level, the control module sends a first control signal to the on-site audible and visual alarm unit. This first control signal drives the buzzer in the audible and visual alarm unit to emit intermittent short beeps, and simultaneously drives the LED indicator to emit yellow flashing lights, thus forming a warning message that is different from the normal operating state. At the same time, the control module synchronously sends alarm information containing the current safety level, measured strain value, pressure value, temperature value, and timestamp to the communication alarm unit. The communication alarm unit pushes this information to the remote monitoring terminal via wired Ethernet or wireless 4G / 5G network, so that operation and management personnel can be promptly informed that the equipment is in a state requiring attention.

[0048] When the safety assessment module determines that the current safety margin has further deteriorated and reached the second warning level, the control module sends a second control signal, distinct from the first control signal, to the on-site audible and visual alarm unit. This second control signal drives the buzzer to emit a continuous long beep with increased volume, and simultaneously drives the LED indicator to emit a fast-flashing red light, thus creating an emergency over-limit warning. Simultaneously, the control module sends an alarm message to the communication alarm unit containing all the aforementioned measured data and preset handling suggestions. These suggestions are automatically generated based on the type of over-limit parameter; for example, when strain exceeds the limit, it is recommended to reduce working pressure or shut down for inspection; when temperature exceeds the limit, it is recommended to strengthen cooling or reduce thermal load. This information is pushed to the remote terminal, allowing remote management personnel to quickly obtain information about the abnormal situation and take corresponding measures based on the suggestions. The audible and visual modes of the first and second warning levels are significantly distinguishable in frequency, timbre, color, and flashing rhythm.

[0049] In some embodiments, the method further includes: Real-time monitoring of pressure data; when the pressure data rises from below the preset lower pressure limit to above the preset upper pressure limit, and then falls back below the lower pressure limit, it is determined that a complete pressure cycle has been completed, and a count is performed.

[0050] The pressure sensor in the parameter detection module collects pressure data in real time during the operation of the pressure vessel and continuously transmits this data to the control module in digital form after analog-to-digital conversion. The control module has an internal pressure cycle counting and determination logic, which uses the preset lower and upper pressure limits stored in the module as the determination criteria. The control module continuously monitors the real-time pressure value change trend. When it detects that the pressure value rises from below the preset lower pressure limit, crosses the preset upper pressure limit to reach above the upper pressure limit, and then falls back below the preset lower pressure limit, this process is considered to constitute a complete pressure cycle.

[0051] During this determination process, the control module compares the pressure value of the current sampling period with the pressure value of the previous sampling period to determine the direction of pressure change, and sets a status flag in memory to record the current pressure stage, such as "below the lower limit", "between the upper and lower limits", "above the upper limit", etc. When the status flag changes completely in the order of "below the lower limit → above the upper limit → below the lower limit", the control module sends a counting pulse signal to the counting module. Each time the counting module receives the pulse signal, it increments the current count value in the accumulator register by 1, completing one cycle of counting.

[0052] The control module also associates and stores the complete pressure cycle event and its corresponding cycle number with a timestamp in the storage unit. In addition, the counting module is equipped with a reset interface and a pause interface. When an external maintenance command is triggered, the operator can send a reset command to the control module via the interactive buttons on the display unit, and the control module will reset the count value in the accumulator register to zero. When the pressure vessel needs maintenance or sensor calibration, counting can be paused via the pause interface, and the counting function will resume after maintenance is completed, preventing invalid fluctuations or abnormal counts during non-service periods from being included in the cycle statistics.

[0053] In some embodiments, the method further includes: In response to an external control command, the pressure cycle count is reset or paused.

[0054] The display unit integrated in the display storage unit is preferably a touch screen or an industrial-grade LCD screen with physical buttons. Operators can issue external control commands through the interactive interface on the display unit. These commands are transmitted to the command parsing port of the control module via a data link between the display unit and the control module. Alternatively, the external control commands can also be sent to the control module from a remote monitoring terminal via a wired or wireless network through a communication unit, enabling remote operation. Upon receiving the external control command, the control module first performs protocol parsing and validity verification to confirm whether the command type is a clear command or a pause command.

[0055] When a zeroing command is detected, the control module sends a reset signal to the accumulator register of the counting module, resetting the currently stored pressure cycle count value to zero. Simultaneously, a zeroing event record is generated, including the operation timestamp, operation source, and the count value before zeroing, and this record is stored in the memory unit for future reference. When a pause command is detected, the control module sends a control level to the counting enable terminal of the counting module to disable accumulation. Upon receiving this enable signal, the counting module will pause its response to subsequent counting pulse signals, and the count value in the accumulator register will remain unchanged at the pause time. However, the real-time acquisition of pressure data by the parameter detection module remains unaffected. When the control module subsequently receives an external control command to resume counting, it resends a control level to the counting enable terminal to allow accumulation, and the counting module then resumes its counting function for complete pressure cycle events. Whether pressure crossing events during the pause and after the recovery are included in the cycle is determined by the control module based on the status flags at the pause start time and the recovery time, avoiding the miscounting of incomplete cycles that cross the pause interval as valid cycles.

[0056] In some embodiments, the method further includes: Real-time data, safety margin, safety level, and number of pressure cycles are displayed and stored in real time.

[0057] During operation, the control module transmits real-time strain data from the strain acquisition module, real-time pressure and temperature data from the parameter detection module, safety margin values ​​and corresponding safety levels calculated by the safety assessment module, and the number of pressure cycles accumulated by the counting module to the display and storage module in real time via a parallel data bus or serial communication interface. The display and storage module consists of a display unit and a storage unit. The display unit is preferably an industrial-grade LCD screen. The control module visualizes the above data according to a preset interface layout, using numerical values, progress bars, status indicator lights, or trend curves. For example, real-time strain, pressure, and temperature values ​​are refreshed in real-time using digital instruments; the safety margin is displayed as a percentage progress bar or color band; the safety level is distinguished by different colors such as green, yellow, and red; and the number of pressure cycles is displayed as a cumulative value in a designated area of ​​the interface, allowing on-site operators to intuitively grasp the current operating status of the equipment.

[0058] Meanwhile, the storage unit employs non-volatile memory, including but not limited to SD cards, EEPROM, or NAND Flash chips. While pushing data to the display unit, the control module associates all the aforementioned data with the current timestamp according to a preset storage cycle (e.g., once per second or after each complete evaluation cycle), and writes it into the storage unit in a structured data format (e.g., binary data frames or CSV format). The storage unit has a storage space of no less than a preset capacity (e.g., 32GB) to support continuous data recording for at least ten years, and reserves an external data export interface (e.g., USB interface or Ethernet interface) to facilitate subsequent offline analysis and incident tracing by reading historical data through external devices.

[0059] Corresponding to the strain margin alarm method for containers described above, this invention also proposes a strain margin alarm device for containers. Since the device embodiments of this invention correspond to the method embodiments described above, details not disclosed in the device embodiments can be referred to in the method embodiments described above, and will not be repeated here.

[0060] Figure 2 This is a schematic diagram of the structure of a strain margin alarm device for a container provided in an embodiment of this disclosure, as shown below. Figure 2 As shown, it includes: The data acquisition unit 21 is used to acquire at least one of the real-time strain data, real-time pressure data and real-time temperature data of the pressure vessel; The margin calculation unit 22 is used to compare at least one of the real-time strain data, real-time pressure data and real-time temperature data with the corresponding preset safety threshold, and calculate the safety margin based on the comparison results; wherein, the safety margin represents the remaining safety capacity. The graded alarm unit 23 is used to execute corresponding graded alarms according to the safety margin; wherein, different safety margins correspond to different graded alarms; the graded alarms include on-site audible and visual alarms and communication alarms sent to remote terminals.

[0061] Furthermore, in one possible implementation of this disclosure embodiment, the data acquisition unit 21 is further configured to: Strain signals in a local area of ​​the pressure vessel are acquired based on preset sensors; The strain signal is subjected to signal conditioning and analog-to-digital conversion to obtain digitized real-time strain data.

[0062] Furthermore, in one possible implementation of this disclosure embodiment, the margin calculation unit 22 is further configured to: The real-time strain data is compared with the strain safety value, the real-time pressure data with the pressure preset value, and the real-time temperature data with the temperature preset value to obtain the corresponding deviation values. The safety margin is obtained by weighting each deviation value with a preset weighting coefficient.

[0063] Furthermore, in one possible implementation of this disclosure embodiment, the hierarchical alarm unit 23 is further configured to: When the safety level reaches the first warning level, the on-site audible and visual alarm unit is triggered to issue a warning, and the alarm information is pushed to the remote terminal through the communication unit; When the safety level reaches the second warning level, the on-site audible and visual alarm unit is triggered to issue an over-limit warning, and the alarm information and handling suggestions are pushed to the remote terminal through the communication unit.

[0064] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, it also includes: The cycle counting unit 24 is used to monitor pressure data in real time. When the pressure data is detected to rise from below the preset lower pressure limit to above the preset upper pressure limit, and then fall back below the lower pressure limit, it is determined that a complete pressure cycle has been completed, and the counting is performed.

[0065] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, it also includes: The counting control unit 25 is used to perform a zeroing or pausing operation on the pressure cycle count in response to an external control command.

[0066] Furthermore, in one possible implementation of the embodiments of this disclosure, such as Figure 3 As shown, it also includes: Display storage unit 26 is used to display and store real-time data, safety margin, safety level and number of pressure cycles in real time.

[0067] It should be noted that the foregoing explanation of the method embodiments also applies to the apparatus of the embodiments of this disclosure, and the principle is the same. Therefore, the embodiments of this disclosure are not limited thereto.

[0068] According to embodiments of this disclosure, this disclosure also provides an electronic device, a readable storage medium, and a computer program product.

[0069] Figure 4 A schematic block diagram of an example electronic device 400 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0070] like Figure 4 As shown, device 400 includes a computing unit 401, which can perform various appropriate actions and processes based on a computer program stored in ROM (Read-Only Memory) 402 or a computer program loaded from storage unit 408 into RAM (Random Access Memory) 403. RAM 403 may also store various programs and data required for the operation of device 400. The computing unit 401, ROM 402, and RAM 403 are interconnected via bus 404. I / O (Input / Output) interface 405 is also connected to bus 404.

[0071] Multiple components in device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of monitors, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0072] The computing unit 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, CPUs (Central Processing Units), GPUs (Graphics Processing Units), various special-purpose AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, DSPs (Digital Signal Processors), and any suitable processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as the strain margin alarm method for a container. For example, in some embodiments, the strain margin alarm method for a container may be implemented as a computer software program tangibly contained in a machine-readable medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by the computing unit 401, one or more steps of the methods described above may be performed. Alternatively, in other embodiments, the calculation unit 401 may be configured to perform the aforementioned strain margin alarm method for the container by any other suitable means (e.g., by means of firmware).

[0073] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application-Specific Standard Products), SOCs (System-on-Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various implementations may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0074] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0075] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, RAM, ROM, EPROM (Electrically Programmable Read-Only Memory) or flash memory, optical fiber, CD-ROM (Compact Disc Read-Only Memory), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0076] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor); and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0077] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include LANs (Local Area Networks), WANs (Wide Area Networks), the Internet, and blockchain networks.

[0078] Computer systems can include clients and servers. Clients and servers are generally geographically separated and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. A server can be a cloud server, also known as a cloud computing server or cloud host, a hosting product within the cloud computing service system that addresses the shortcomings of traditional physical hosts and VPS (Virtual Private Server) services, such as high management difficulty and weak business scalability. Servers can also be servers for distributed systems or servers incorporating blockchain technology.

[0079] It's important to note that artificial intelligence (AI) is the study of enabling computers to simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, and planning). It encompasses both hardware and software technologies. AI hardware technologies generally include sensors, dedicated AI chips, cloud computing, distributed storage, and big data processing. AI software technologies primarily include computer vision, speech recognition, natural language processing, machine learning / deep learning, big data processing, and knowledge graph technologies.

[0080] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution disclosed in this disclosure can be achieved, and this is not limited herein.

[0081] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A strain margin alarm method for a container, characterized in that, include: Acquire at least one of the following: real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel; At least one of the real-time strain data, real-time pressure data, and real-time temperature data is compared with a corresponding preset safety threshold, and a safety margin is calculated based on the comparison results; wherein, the safety margin represents the remaining safety capacity. Execute corresponding graded alarms according to the safety margin; wherein, different safety margins correspond to different graded alarms; the graded alarms include on-site audible and visual alarms and communication alarms sent to remote terminals.

2. The method according to claim 1, characterized in that, The acquisition of at least one of the real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel includes: Strain signals in a local area of ​​the pressure vessel are acquired based on preset sensors; The strain signal is subjected to signal conditioning and analog-to-digital conversion to obtain digitized real-time strain data.

3. The method according to claim 1, characterized in that, The calculation of the safety margin based on the comparison results includes: The real-time strain data is compared with the strain safety value, the real-time pressure data with the pressure preset value, and the real-time temperature data with the temperature preset value to obtain the corresponding deviation values. The safety margin is obtained by weighting each deviation value with a preset weighting coefficient.

4. The method according to claim 1, characterized in that, The step of executing corresponding graded alarms based on the safety margin includes: When the safety level reaches the first warning level, the on-site audible and visual alarm unit is triggered to issue a warning, and the alarm information is pushed to the remote terminal through the communication unit; When the safety level reaches the second warning level, the on-site audible and visual alarm unit is triggered to issue an over-limit warning, and the alarm information and handling suggestions are pushed to the remote terminal through the communication unit.

5. The method according to claim 1, characterized in that, The method further includes: Real-time monitoring of pressure data; when the pressure data rises from below the preset lower pressure limit to above the preset upper pressure limit, and then falls back below the lower pressure limit, it is determined that a complete pressure cycle has been completed, and a count is performed.

6. The method according to claim 5, characterized in that, The method further includes: In response to an external control command, the pressure cycle count is reset or paused.

7. The method according to claim 1, characterized in that, The method further includes: Real-time data, safety margin, safety level, and number of pressure cycles are displayed and stored in real time.

8. A strain margin alarm device for a container, characterized in that, include: The data acquisition unit is used to acquire at least one of the real-time strain data, real-time pressure data, and real-time temperature data of the pressure vessel. The margin calculation unit is used to compare at least one of the real-time strain data, real-time pressure data, and real-time temperature data with the corresponding preset safety threshold, and calculate the safety margin based on the comparison results; wherein, the safety margin represents the remaining safety capacity. A graded alarm unit is used to execute corresponding graded alarms according to the safety margin; wherein, different safety margins correspond to different graded alarms; the graded alarms include on-site audible and visual alarms and communication alarms sent to remote terminals.

9. An electronic device, characterized in that, include: At least one processor; as well as A memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-7.

10. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause the computer to perform the method according to any one of claims 1-7.

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