Liquid link dynamic anomaly identification method, device and equipment and storage medium

Abstract

This application discloses a method, apparatus, device, and storage medium for identifying dynamic anomalies in liquid link systems, relating to the field of link anomaly detection technology. The method includes: in a self-test phase, applying active electronically regulated excitation and analyzing the amplitude and regularity of the AD response sequence to determine the link's dynamic response capability, and then combining the initial pressure AD value to output a comprehensive self-test result; in the operation phase, identifying the equipment's mechanical cycle and setting a phase sampling window to avoid pressure spikes, extracting representative pressure values ​​within the window, and calculating operating pressure characteristic values. Based on whether these characteristic values ​​continuously exceed limits, sporadically exceed limits, or show a continuous deterioration trend, they are respectively determined as actual operational anomalies, transient disturbances, or potential anomalies. Through this method, a comprehensive static and dynamic self-test of the health status of the pressure detection link is achieved, and during equipment operation, it can effectively distinguish between persistent faults and transient interference, providing early warning of potential risks, thereby improving system reliability and maintenance efficiency.

Description

Technical Field

[0001] This application relates to the field of link anomaly detection technology, and in particular to a method, apparatus, device and storage medium for identifying dynamic anomalies in liquid links. Background Technology

[0002] In fluid delivery equipment such as infusion pumps, syringe pumps, and nutrition pumps, pressure detection is commonly used for blockage alarms, no-load identification, gate status detection, fluid path anomaly monitoring, and downstream resistance change identification. Existing equipment generally uses pressure sensors to detect fluid path pressure, which is then processed by an analog conditioning circuit and acquired by an analog-to-digital converter to generate the corresponding pressure AD value. The controller then makes judgments based on the pressure AD value.

[0003] Currently, common judgment methods mainly include: static threshold comparison, zero-point or baseline calibration, multiple sampling averaging, short-term smoothing processing, and continuous over-limit alarms during operation. However, these methods cannot simultaneously satisfy the requirements of dynamically validating the pressure detection link and distinguishing and confirming initial abnormal states.

[0004] The above content is only used to help understand the technical solution of the present invention and does not represent an admission that the above content is prior art. Summary of the Invention

[0005] The main objective of this application is to provide a method, apparatus, device, and storage medium for identifying dynamic anomalies in liquid links, aiming to solve the technical problem in the prior art that it is impossible to simultaneously satisfy the requirements of dynamic validity verification of pressure detection links and the differentiation and confirmation of initial abnormal states.

[0006] To achieve the above objectives, this application provides a method for identifying dynamic anomalies in liquid links, the method comprising: Acquire the initial pressure AD value of the pressure detection link; The active electronic control module is controlled to apply a preset active electronic control excitation sequence to a preset injection node of the pressure detection link; Collect the AD response sequences corresponding to each level of excitation in the preset active electronically regulated excitation sequence; Based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, it is determined whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained. Based on the state of the initial pressure AD value and the judgment result of the dynamic response capability, the self-test result of the pressure detection link is output.

[0007] In one embodiment, the step of outputting a self-test result for the pressure detection link based on the state of the initial pressure AD value and the judgment result of the dynamic response capability includes: When the initial pressure AD value is within the preset normal range and the pressure detection link is determined to have effective dynamic response capability, the pressure detection link is determined to be in a normal state. If the initial pressure AD value is within the preset normal range, but it is determined that the pressure detection link does not have effective dynamic response capability, it is determined that the pressure detection link has a hidden fault. If the initial pressure AD value exceeds the preset normal range, but it is determined that the pressure detection link has effective dynamic response capability, it is judged as a suspected transient anomaly, and the review process is initiated. When the initial pressure AD value exceeds the preset normal range and it is determined that the pressure detection link does not have effective dynamic response capability, the pressure detection link is determined to be in a fault state.

[0008] In one embodiment, the step of initiating the review process includes: After a preset review time, the steps of collecting the initial pressure AD value, applying the preset active electronic control excitation sequence, collecting the AD response sequence, and judging the dynamic response capability are executed again to obtain the result after the re-execution. Analyze the results after the re-execution, and when the initial pressure AD value recovers to the preset normal range and the dynamic response capability is effective, confirm that the previous anomaly was a transient anomaly. If the initial pressure AD value is still abnormal or the dynamic response capability is invalid, it is confirmed as a real fault.

[0009] In one embodiment, the step of determining whether the stress detection link has effective dynamic response capability based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, and obtaining the determination result of the dynamic response capability, includes: Extract at least two of the following features from the AD response sequence for joint judgment: The total response amplitude is the difference between the maximum and minimum values ​​in the AD response sequence; Normalized response gain is the ratio of the total amplitude of the response to the total change in the preset active electronically regulated excitation sequence. Response direction consistency is used to determine whether the overall change trend of the AD response sequence is consistent with the change direction of the preset active ESC excitation sequence. Adjacent change continuity is used to determine whether the change between adjacent levels in the AD response sequence exceeds a preset threshold or whether the number of reverse changes exceeds a preset threshold. The extracted features are compared with preset conditions to comprehensively determine whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained.

[0010] In one embodiment, the method further includes an anomaly identification step during the runtime phase: Identify the mechanical cycle of the liquid delivery equipment; Based on the mechanical cycle, a phase sampling window is determined, which is configured to avoid pressure peak and valley regions caused by mechanical action. Within the phase sampling window of multiple consecutive mechanical cycles, representative pressure values ​​are extracted respectively; Based on the representative pressure values ​​of the consecutive multiple mechanical cycles, the operating pressure characteristic value is determined; Operational anomalies are identified based on the aforementioned operating pressure characteristic values.

[0011] In one embodiment, the step of identifying operational anomalies based on the operating pressure characteristic value includes: When a predetermined number of consecutive operating pressure characteristic values ​​exceed a preset threshold range, it is determined to be a real operational anomaly. When only one or fewer of the predetermined number of operating pressure characteristic values ​​exceed the limit, it is determined to be a transient disturbance; When the operating pressure characteristic value shows a continuous changing trend and the slope of the change exceeds a preset trend threshold, it is determined to be a potential anomaly.

[0012] In one embodiment, the preset injection node is the bridge bias terminal of the pressure sensor, the reference terminal of the analog conditioning circuit, or the front-end calibration injection terminal; the preset active electronically regulated excitation sequence is a multi-level stepped excitation sequence.

[0013] Furthermore, to achieve the above objectives, this application also proposes a liquid link dynamic anomaly identification device, which includes: The initial pressure acquisition module is used to acquire the initial pressure AD value of the pressure detection link; The excitation control module is used to control the active electronic control module to apply a preset active electronic control excitation sequence to the preset injection node of the pressure detection link; The response acquisition module is used to acquire the AD response sequence corresponding to each level of excitation in the preset active electronically regulated excitation sequence; The dynamic response judgment module is used to determine whether the pressure detection link has effective dynamic response capability based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, and to obtain the judgment result of the dynamic response capability. The self-test result determination module is used to output the self-test result of the pressure detection link based on the state of the initial pressure AD value and the judgment result of the dynamic response capability.

[0014] In addition, to achieve the above objectives, this application also proposes a liquid link dynamic anomaly identification device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the liquid link dynamic anomaly identification method described above.

[0015] In addition, to achieve the above objectives, the present invention also proposes a storage medium, which is a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the steps of the liquid link dynamic anomaly identification method described above.

[0016] In addition, to achieve the above objectives, this application also provides a computer program product, which includes a computer program that, when executed by a processor, implements the steps of the liquid link dynamic anomaly identification method as described above.

[0017] This application provides a method for identifying dynamic anomalies in a liquid flow path. During the self-test phase, active electronically regulated excitation is applied, and the amplitude and regularity of the AD response sequence are analyzed to determine the dynamic response capability of the path. The self-test result is then combined with the initial pressure AD value to output a comprehensive self-test result. During the operation phase, the mechanical cycle of the equipment is identified, and a phase sampling window is set to avoid pressure spikes. Representative pressure values ​​within the window are extracted, and operating pressure characteristic values ​​are calculated. Based on whether these characteristic values ​​continuously exceed limits, sporadically exceed limits, or show a continuously deteriorating trend, they are respectively determined as actual operational anomalies, transient disturbances, or potential anomalies. Through this method, the static and dynamic comprehensive self-test of the health status of the pressure detection path is achieved. During equipment operation, it can effectively distinguish between persistent faults and transient interference, providing early warning of potential risks, thereby improving system reliability and maintenance efficiency. Attached Figure Description

[0018] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 This is a flowchart illustrating an embodiment of the liquid link dynamic anomaly identification method of this application; Figure 2 This is a schematic diagram of the module structure of the liquid link dynamic anomaly identification device according to an embodiment of this application; Figure 3This is a schematic diagram of the device structure of the hardware operating environment involved in the liquid link dynamic anomaly identification method in this application embodiment.

[0021] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0022] It should be understood that the specific embodiments described herein are merely illustrative of the technical solutions of this application and are not intended to limit this application.

[0023] To better understand the technical solution of this application, a detailed description will be provided below in conjunction with the accompanying drawings and specific implementation methods.

[0024] The main solution in this application embodiment is: to collect the initial pressure AD value of the pressure detection link; The active electronic control module is controlled to apply a preset active electronic control excitation sequence to a preset injection node of the pressure detection link; Collect the AD response sequences corresponding to each level of excitation in the preset active electronically regulated excitation sequence; Based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, it is determined whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained. Based on the state of the initial pressure AD value and the judgment result of the dynamic response capability, the self-test result of the pressure detection link is output.

[0025] Currently, in fluid delivery equipment such as infusion pumps, syringe pumps, and nutrition pumps, pressure detection is commonly used for blockage alarms, no-load identification, gate status detection, fluid path anomaly monitoring, and downstream resistance change identification. Existing equipment generally uses pressure sensors to detect fluid path pressure, which is then processed by analog conditioning circuits and collected by an analog-to-digital converter to generate corresponding pressure AD values. The controller then makes judgments based on these pressure AD values.

[0026] Currently, common judgment methods mainly include: static threshold comparison, zero-point or baseline calibration, multiple sampling averaging, short-term smoothing processing, and continuous over-limit alarms during operation. However, these methods cannot simultaneously satisfy the requirements of dynamically validating the pressure detection link and distinguishing and confirming initial abnormal states.

[0027] This application provides a solution that, during the self-test phase, assesses the dynamic response capability of the link by applying active electronically regulated excitation and analyzing the amplitude and regularity of the AD response sequence. The self-test result is then comprehensively output based on the initial pressure AD value. During the operation phase, the mechanical cycle of the equipment is identified, and a phase sampling window is set to avoid pressure spikes. Representative pressure values ​​within the window are extracted, and operating pressure characteristic values ​​are calculated. Based on whether these characteristic values ​​continuously exceed limits, sporadically exceed limits, or show a continuously deteriorating trend, they are respectively determined as actual operational anomalies, transient disturbances, or potential anomalies. Through this approach, this method achieves comprehensive static and dynamic self-testing of the health status of the pressure detection link itself. It can also effectively distinguish between persistent faults and transient interference during equipment operation, providing early warning of potential risks, thereby improving system reliability and maintenance efficiency.

[0028] It should be noted that the executing entity in this embodiment can be a computing service device with data processing, network communication, and program execution functions, such as a tablet computer, personal computer, or mobile phone, or an electronic device capable of performing the above functions, such as a liquid link dynamic anomaly identification device. This embodiment does not specifically limit it in this way. The following uses a liquid link dynamic anomaly identification device as an example to describe this embodiment and the following embodiments.

[0029] All actions involving the acquisition of signals, information, or data in this application are carried out in accordance with the relevant data protection laws and policies of the country where the application is located, and with the authorization of the owner of the relevant device.

[0030] This application provides a method for identifying dynamic anomalies in a liquid link, referring to... Figure 1 , Figure 1 This is a flowchart illustrating the first embodiment of the liquid link dynamic anomaly identification method of this application.

[0031] In this embodiment, the liquid link dynamic anomaly identification method includes steps S10~S50: Step S10: Collect the initial pressure AD value of the pressure detection link; It should be noted that the pressure detection link refers to the fluid path in liquid delivery equipment such as infusion pumps, syringe pumps, and nutrition pumps that requires pressure detection. The pressure AD value refers to the digital quantization value obtained by processing the analog signal generated after the pressure sensor senses the pressure, and it represents the current pressure value.

[0032] Understandably, the acquisition process is completed by the system controller controlling the analog-to-digital converter. At the initial moment when the device is powered on or enters the self-test state, the controller will configure the sampling parameters of the ADC and start one or more samplings. Then, the sampling results are filtered to eliminate noise, and finally the obtained stable value is recorded as the initial pressure AD value.

[0033] After the device is powered on, or after entering standby self-test mode, the controller will stabilize after a preset time. Then, the AD sampling module is controlled to acquire the pressure AD value corresponding to the current pressure detection link output, and this value is recorded as the initial pressure AD value. Preferably, to improve the stability of initial value acquisition, the controller continuously samples. The initial AD value is then used, and the mean, median, or truncated mean is used as the initial value. ,in The integer is preferably between 3 and 16, but the specific setting is not limited in this embodiment.

[0034] The controller will set the initial pressure AD value Compared with the preset normal range Comparison: When When the value is within the preset normal range, it is determined that "no abnormality was found in the initial value"; when... If the value exceeds the preset normal range, it is determined to be "abnormal initial value".

[0035] It should be noted that the preliminary judgment in this step is only for providing static reference information and does not serve as a criterion for determining whether to continue with the subsequent dynamic self-check process. In other words, regardless of... Whether it is normal or not, it will proceed to the subsequent active ESC excitation and response analysis process.

[0036] Step S20: Control the active ESC module to apply a preset active ESC excitation sequence to the preset injection node of the pressure detection link; It should be noted that the active ESC module is a drive unit that can output controllable electrical signals. The preset injection node is an electrical connection point selected in the pressure detection link that can affect its pressure reading, while the preset active ESC excitation sequence is a set of predefined electrical signal commands with a specific amplitude variation law.

[0037] Understandably, the system controller sends control commands to active ESC modules such as digital-to-analog converters or digital potentiometers through a digital interface according to preset sequence parameters, so that they generate voltage or current signals of corresponding magnitude and polarity, and apply the excitation signal to preset nodes such as the bridge power supply terminal of the pressure sensor or the reference terminal of the subsequent amplification circuit, thereby actively and regularly simulating pressure changes.

[0038] The controller controls the active electronically controlled (EEC) module to output an adjustment signal according to a preset excitation sequence, and applies the adjustment signal to a preset injection node of the pressure detection link to apply active EEC excitation to the pressure detection link. Preferably, the active EEC module is a DAC module. In other embodiments, the active EEC module may also be a programmable reference output module, a controllable bias output module, or other circuit modules capable of outputting preset controllable analog excitation signals.

[0039] The preset injection nodes preferably include at least one of the following: 1. a pressure sensor bridge bias terminal; 2. an analog conditioning circuit reference terminal; 3. a front-end calibration injection terminal; and other controllable injection nodes in the detection link. By applying controllable excitation to the preset injection nodes, external driving conditions for verifying the dynamic effectiveness of the detection link can be constructed without relying on actual pressure changes in the fluid path.

[0040] The excitation sequence can take any of the following forms: 1. a unidirectional increasing multi-level sequence; 2. a unidirectional decreasing multi-level sequence; 3. a round-trip scan sequence; 4. a step-perturbation sequence. Preferably, the excitation sequence is a K-level step-perturbation sequence, where K is an integer of not less than 3. Using multi-level excitation instead of single-point excitation is beneficial for obtaining richer response characteristics and improving the reliability of dynamic validity determination.

[0041] Step S30: Collect the AD response sequence corresponding to each level of excitation in the preset active electronically regulated excitation sequence; It should be noted that the AD response sequence refers to the instantaneous pressure AD value readings generated by the pressure detection link for each specific excitation signal during the application of a preset active electronically regulated excitation sequence. The set of these readings arranged in the order of excitation application constitutes a data sequence reflecting the dynamic response of the system.

[0042] Understandably, after issuing each level of excitation command, the system controller will wait for a preset short stabilization time, then start the analog-to-digital converter to sample the pressure signal at high speed, and perform digital filtering on the multiple sampling results to obtain a stable AD value. This value is used as the response of that level of excitation and recorded. This process is repeated until the data acquisition of all excitation levels is completed, and finally a complete AD response sequence is formed.

[0043] After each level of excitation value is output, the controller waits for a preset settling time. This is done to bring the pressure detection link to a relatively stable state before controlling the AD sampling module to collect the corresponding pressure AD value.

[0044] Preferably, data is collected at each level of excitation value. The AD value is then used as the average, median, or truncated average value for that level of excitation, forming an AD response sequence that corresponds one-to-one with the excitation sequence.

[0045] Step S40: Based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, determine whether the pressure detection link has effective dynamic response capability, and obtain the judgment result of dynamic response capability.

[0046] It should be noted that response amplitude characteristics refer to the absolute magnitude or relative proportion of numerical changes in the AD response sequence, used to evaluate the sensitivity of the detection link to the excitation. Response regularity characteristics refer to the trend, linearity, or monotonicity of the AD value as it changes with the excitation, used to determine whether the response is normal and controllable. Effective dynamic response capability refers to the characteristic that the pressure detection link can accurately and stably follow the changes in the excitation signal and output an AD value sequence that meets expectations.

[0047] Understandably, the system controller compares and analyzes the collected AD response sequence with the preset excitation sequence. It evaluates whether the response amplitude is within a reasonable threshold range by calculating the AD value increment between adjacent excitation points. It also checks whether the AD value change trend is consistent with the excitation change direction and is smooth and continuous by methods such as linear regression or difference calculation. If both characteristics meet the preset conditions, the link is determined to have effective dynamic response capability; otherwise, it is determined to be abnormal.

[0048] In one feasible implementation, the step of determining whether the pressure detection link has effective dynamic response capability based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, and obtaining the determination result of the dynamic response capability, includes: Extract at least two of the following features from the AD response sequence for joint judgment: The total response amplitude is the difference between the maximum and minimum values ​​in the AD response sequence; Normalized response gain is the ratio of the total amplitude of the response to the total change in the preset active electronically regulated excitation sequence. Response direction consistency is used to determine whether the overall change trend of the AD response sequence is consistent with the change direction of the preset active ESC excitation sequence. Adjacent change continuity is used to determine whether the change between adjacent levels in the AD response sequence exceeds a preset threshold or whether the number of reverse changes exceeds a preset threshold. The extracted features are compared with preset conditions to comprehensively determine whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained.

[0049] In a specific implementation, the controller extracts one or more of the following response features from the AD response sequence to characterize the response capability and response pattern of the pressure detection link to active ESC excitation.

[0050] 1) Total response amplitude ΔAD: The total response magnitude ΔAD can be expressed as: ΔAD = max{ADi} min{ADi}.

[0051] It is used to characterize whether the stress detection link output produces a sufficiently large response across the entire range of excitation variations.

[0052] 2) Normalized response gain G: The normalized response gain G can be expressed as: G = ΔADΔD.

[0053] Where ΔD represents the total change in the excitation sequence. The normalized response gain is used to characterize the degree of correspondence between the excitation change and the AD change.

[0054] 3) Consistency in response direction: When the excitation sequence is an increasing sequence, if the AD response sequence shows an overall increasing trend, the response direction is determined to be consistent; when the excitation sequence is a decreasing sequence, if the AD response sequence shows an overall decreasing trend, the response direction is determined to be consistent.

[0055] The consistency of the response direction is used to characterize whether the direction of change of the detection link output matches the direction of the applied excitation.

[0056] 4) Continuity of adjacent changes: Define the change between adjacent levels as: di = ADi + 1 ADi If the number of reverse changes in the AD response sequence exceeds the preset number threshold P, and / or the absolute value of adjacent changes exceeds the preset jump variable threshold J, then the continuity of adjacent changes is determined to be abnormal.

[0057] 5) Monotonic trend: If, under the premise of allowing a small amount of noise disturbance, the effective change direction of the AD response sequence is generally consistent with the excitation direction, then the AD response sequence is determined to have a monotonic change trend.

[0058] 6) Other optional response features: Furthermore, features such as response linearity, fitting residuals, local slope consistency, and piecewise response stability can be extracted to enhance the robustness and accuracy of dynamic response validity determination.

[0059] Step S50: Based on the state of the initial pressure AD value and the judgment result of the dynamic response capability, output the self-test result of the pressure detection link.

[0060] It should be noted that the system controller compares the initial pressure AD value with the preset normal zero point range to determine whether the static state is normal. Then, it combines the obtained dynamic response capability judgment result and makes a comprehensive decision based on the preset logic (such as if the static state is normal and the dynamic response is effective, the link is determined to be healthy; if either is abnormal, it is determined to be a fault). Finally, the self-test result is output to the host computer or user interface in the form of status words, codes, or indicator lights.

[0061] In one feasible implementation, the step of outputting the self-test result of the pressure detection link based on the state of the initial pressure AD value and the judgment result of the dynamic response capability includes: When the initial pressure AD value is within the preset normal range and the pressure detection link is determined to have effective dynamic response capability, the pressure detection link is determined to be in a normal state. If the initial pressure AD value is within the preset normal range, but it is determined that the pressure detection link does not have effective dynamic response capability, it is determined that the pressure detection link has a hidden fault. If the initial pressure AD value exceeds the preset normal range, but it is determined that the pressure detection link has effective dynamic response capability, it is judged as a suspected transient anomaly, and the review process is initiated. When the initial pressure AD value exceeds the preset normal range and it is determined that the pressure detection link does not have effective dynamic response capability, the pressure detection link is determined to be in a fault state.

[0062] In its implementation, the controller determines whether the pressure detection link possesses effective dynamic response capability based on the extracted response characteristics. The pressure detection link is deemed to have an effective dynamic response when the response characteristics satisfy at least two, at least three, or a preset combination of the following conditions: 1. Total response amplitude Greater than the minimum response threshold ; 2. Normalized response gain Greater than the minimum gain threshold ; 3. The response direction is consistent; 4. The number of reverse changes does not exceed the preset threshold. ; 5. Adjacent jump variables do not exceed the preset jump variable threshold. ; 6. The AD response sequence satisfies the preset monotonic change trend condition.

[0063] If the above preset conditions are not met, the dynamic response of the pressure detection link is determined to be abnormal.

[0064] It should be noted that the determination of the validity of the dynamic response is not limited to simple threshold judgment, but can also be based on a preset set of rules, a weighted scoring model, a logical combination criterion, or other judgment methods that can reflect the response amplitude and response pattern.

[0065] The controller combines the initial pressure AD value status and dynamic response judgment results to output a self-test conclusion for the pressure detection link. Preferably, it includes at least the following: Scenario 1: Initial value is normal, dynamic response is effective When AD0 is within the preset normal range and the dynamic response of the pressure detection link is effective, the pressure detection link is considered to be normal.

[0066] Scenario 2: Initial value is normal, dynamic response is abnormal: When AD0 is within the preset normal range, but the dynamic response of the pressure detection link is abnormal, it is determined that there is a hidden fault.

[0067] Preferably, the hidden faults include, but are not limited to: partial saturation of analog conditioning circuit, abnormal reference link, partial failure of sampling link, pseudo-stable output caused by poor contact of connector plug, pressure sensor output clamping, decreased sensitivity, or other fault states that, although not causing static value to exceed the limit, have led to a decrease or loss of dynamic response capability.

[0068] Scenario 3: Initial value is abnormal, dynamic response is valid: When AD0 exceeds the preset normal range, but the dynamic response of the pressure detection link is valid, it is not directly judged as a fault, but as a suspected transient anomaly, and enters the review process.

[0069] Scenario 4: Abnormal initial value, abnormal dynamic response: When AD0 exceeds the preset normal range and the dynamic response of the pressure detection link is abnormal, it is determined that the pressure detection link is faulty.

[0070] Through the above classification and identification mechanism, static anomalies and dynamic anomalies can be decoupled for analysis, improving the ability to distinguish between different fault types and different anomaly sources.

[0071] In one feasible implementation, the step of initiating the review process includes: After a preset review time, the steps of collecting the initial pressure AD value, applying the preset active electronic control excitation sequence, collecting the AD response sequence, and judging the dynamic response capability are executed again to obtain the result after the re-execution. Analyze the results after the re-execution, and when the initial pressure AD value recovers to the preset normal range and the dynamic response capability is effective, confirm that the previous anomaly was a transient anomaly. If the initial pressure AD value is still abnormal or the dynamic response capability is invalid, it is confirmed as a real fault.

[0072] In practical implementation, for the scenario of "abnormal initial value but effective dynamic response," the controller, after a preset verification time Tr, re-executes the initial pressure AD value acquisition, active ESC excitation, AD response acquisition, response feature extraction, and dynamic response determination process. If two consecutive verifications or a preset number of verifications both indicate an effective dynamic response, and the subsequently acquired initial pressure AD value recovers to the preset normal range, the previous abnormality is determined to be a transient abnormality. If two consecutive verifications or a preset number of verifications still show initial value abnormalities and / or dynamic response abnormalities, it is determined to be a real fault. The number of verifications can be set to 1, 2, or more, and can be configured according to the equipment model, power-on stabilization time, operating environment noise level, or reliability requirements.

[0073] In one feasible implementation, the method further includes an anomaly identification step during the runtime phase: Identify the mechanical cycle of the liquid delivery equipment; Based on the mechanical cycle, a phase sampling window is determined, which is configured to avoid pressure peak and valley regions caused by mechanical action. Within the phase sampling window of multiple consecutive mechanical cycles, representative pressure values ​​are extracted respectively; Based on the representative pressure values ​​of the consecutive multiple mechanical cycles, the operating pressure characteristic value is determined; When a predetermined number of consecutive operating pressure characteristic values ​​exceed a preset threshold range, it is determined to be a real operational anomaly. When only one or fewer of the predetermined number of operating pressure characteristic values ​​exceed the limit, it is determined to be a transient disturbance; When the operating pressure characteristic value shows a continuous changing trend and the slope of the change exceeds a preset trend threshold, it is determined to be a potential anomaly.

[0074] It should be noted that the mechanical cycle refers to the time period during which a periodic mechanical movement (such as the reciprocating motion of a pump piston or the rotation of a motor) completes a full cycle in a liquid conveying device. The phase sampling window is one or more specific time intervals artificially selected within this cycle, designed to avoid the peaks and troughs of severe pressure fluctuations directly caused by mechanical actions, in order to obtain a pressure signal that better reflects the steady-state characteristics of the system. The representative pressure value is a characteristic pressure value obtained by calculation (such as taking the mean or median) from multiple pressure sampling points within each phase sampling window. The operating pressure characteristic value is a statistic (such as the mean or variance) further calculated based on the representative pressure values ​​of multiple consecutive mechanical cycles, used to characterize the pressure state of the equipment during stable operation. The actual operating anomaly refers to a persistent pressure anomaly caused by a substantial failure of equipment components (such as blockage or wear). The transient disturbance refers to a brief, recoverable pressure fluctuation caused by external accidental factors (such as air bubbles or instantaneous resistance). The potential anomaly refers to a pressure value that has not yet exceeded the limit but has shown a clear and persistent deterioration trend, indicating that a failure may be imminent.

[0075] In practical implementation, during equipment operation, the controller identifies the current mechanical cycle based on motor stepping pulses, motor Hall sensor output, push rod position signal, pump head action synchronization signal, roller extrusion synchronization signal, or other periodic synchronization signals. Within each mechanical cycle, the controller determines a phase sampling window that avoids pressure peak and valley areas to reduce the impact of mechanical periodicity on pressure judgment results. The phase sampling window can be determined in any of the following ways: 1. Based on a fixed phase interval obtained from equipment calibration; 2. Based on the mapping relationship between motor steps and mechanical position; 3. Dynamically determined based on historical periodic pressure waveform analysis results. For example, when a mechanical cycle is normalized to 0%–100%, the phase sampling window can preferably be located in the intervals of 20%–40%, 35%–55%, or 55%–70%, but these intervals are merely examples, and this application does not impose any limitations on them.

[0076] The controller acquires multiple pressure AD values ​​within the phase sampling window and uses the average, median, or weighted average of these pressure AD values ​​as the representative pressure value Pcn for the current mechanical cycle. This representative pressure value characterizes the hydraulic pressure state under a relatively stable phase within the current mechanical cycle. Compared to directly judging the pressure value across the entire time domain, it better reflects the actual pressure level after mechanical rhythm disturbances are suppressed.

[0077] The controller processes the representative pressure values ​​Pcn from L consecutive mechanical cycles to obtain the de-rhythmic operating pressure characteristic value Fn. Preferably, the operating pressure characteristic value Fn includes at least one of the following: 1. the mean of L consecutive cycles; 2. the median of L consecutive cycles; 3. the in-phase trend value; 4. the low-frequency baseline value; and the trend slope value extracted based on the representative pressure value sequence.

[0078] The controller compares the operating pressure characteristic value Fn with a preset threshold range: when Q consecutive operating pressure characteristic values ​​exceed the threshold range, it is determined to be a real operational anomaly; when only a single or a few cycles exceed the limit, it is determined to be a transient disturbance; when the operating pressure characteristic value continues to rise, and its rise slope exceeds a preset trend threshold, it is determined to be a potential anomaly. Potential anomalies include one or more of the following: potential blockage trend, continuous increase in fluid circuit resistance trend, and abnormal pump load trend.

[0079] Based on the anomaly assessment, the controller outputs at least one of the following operating states: normal operation, anomaly under observation, actual pressure anomaly, blockage warning, and blockage alarm. The controller can also further output different levels of prompts, warnings, or alarms based on the anomaly type, duration, or intensity of the anomaly trend.

[0080] This embodiment provides a method for identifying dynamic anomalies in a liquid link. During the self-test phase, active electronically regulated excitation is applied, and the amplitude and regularity of the AD response sequence are analyzed to determine the link's dynamic response capability. The self-test result is then comprehensively output based on the initial pressure AD value. During the operation phase, the mechanical cycle of the equipment is identified, and a phase sampling window is set to avoid pressure spikes. Representative pressure values ​​within the window are extracted, and operating pressure characteristic values ​​are calculated. Based on whether these characteristic values ​​continuously exceed limits, sporadically exceed limits, or show a continuously deteriorating trend, they are respectively determined as actual operational anomalies, transient disturbances, or potential anomalies. Through this method, the static and dynamic comprehensive self-test of the health status of the pressure detection link is achieved. During equipment operation, it can effectively distinguish between persistent faults and transient interference, providing early warning of potential risks, thereby improving system reliability and maintenance efficiency.

[0081] It should be noted that the above examples are only for understanding this application and do not constitute a limitation on the liquid link dynamic anomaly identification method of this application. Any simple modifications based on this technical concept are within the protection scope of this application.

[0082] This application also provides a liquid link dynamic anomaly identification device, please refer to... Figure 2 The liquid link dynamic anomaly identification device includes: The initial pressure acquisition module 10 is used to acquire the initial pressure AD value of the pressure detection link; Excitation control module 20 is used to control the active electronic control module to apply a preset active electronic control excitation sequence to the preset injection node of the pressure detection link; The response acquisition module 30 is used to acquire the AD response sequence corresponding to each level of excitation in the preset active electronically regulated excitation sequence; The dynamic response judgment module 40 is used to determine whether the pressure detection link has effective dynamic response capability based on the response amplitude characteristics and response law characteristics of the AD response sequence, and to obtain the judgment result of the dynamic response capability. The self-test result determination module 50 is used to output the self-test result of the pressure detection link based on the state of the initial pressure AD value and the judgment result of the dynamic response capability.

[0083] In one feasible implementation, the self-test result determination module 50 is further configured to determine that the pressure detection link is in a normal state when the initial pressure AD value is within a preset normal range and the pressure detection link is determined to have effective dynamic response capability. If the initial pressure AD value is within the preset normal range, but it is determined that the pressure detection link does not have effective dynamic response capability, it is determined that the pressure detection link has a hidden fault. If the initial pressure AD value exceeds the preset normal range, but it is determined that the pressure detection link has effective dynamic response capability, it is judged as a suspected transient anomaly, and the review process is initiated. When the initial pressure AD value exceeds the preset normal range and it is determined that the pressure detection link does not have effective dynamic response capability, the pressure detection link is determined to be in a fault state.

[0084] In one feasible implementation, the self-test result determination module 50 is further configured to, after a preset review time, re-execute the steps of collecting the initial pressure AD value, applying the preset active electronic control excitation sequence, collecting the AD response sequence, and judging the dynamic response capability, so as to obtain the result after the re-execution. Analyze the results after the re-execution, and when the initial pressure AD value recovers to the preset normal range and the dynamic response capability is effective, confirm that the previous anomaly was a transient anomaly. If the initial pressure AD value is still abnormal or the dynamic response capability is invalid, it is confirmed as a real fault.

[0085] In one feasible implementation, the dynamic response judgment module 40 is further configured to extract at least two of the following features of the AD response sequence for joint judgment: The total response amplitude is the difference between the maximum and minimum values ​​in the AD response sequence; Normalized response gain is the ratio of the total amplitude of the response to the total change in the preset active electronically regulated excitation sequence. Response direction consistency is used to determine whether the overall change trend of the AD response sequence is consistent with the change direction of the preset active ESC excitation sequence. Adjacent change continuity is used to determine whether the change between adjacent levels in the AD response sequence exceeds a preset threshold or whether the number of reverse changes exceeds a preset threshold. The extracted features are compared with preset conditions to comprehensively determine whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained.

[0086] In one feasible implementation, the malfunction detection module 60 is further configured to identify the mechanical cycle of the liquid delivery equipment; Based on the mechanical cycle, a phase sampling window is determined, which is configured to avoid pressure peak and valley regions caused by mechanical action. Within the phase sampling window of multiple consecutive mechanical cycles, representative pressure values ​​are extracted respectively; Based on the representative pressure values ​​of the consecutive multiple mechanical cycles, the operating pressure characteristic value is determined; Operational anomalies are identified based on the aforementioned operating pressure characteristic values.

[0087] In one feasible implementation, the operation anomaly detection module 60 is further configured to determine a real operation anomaly when a predetermined number of consecutive operation pressure characteristic values ​​exceed a preset threshold range. When only one or fewer of the predetermined number of operating pressure characteristic values ​​exceed the limit, it is determined to be a transient disturbance; When the operating pressure characteristic value shows a continuous changing trend and the slope of the change exceeds a preset trend threshold, it is determined to be a potential anomaly.

[0088] In one feasible implementation, the excitation control module 20 is further configured to have the preset injection node as the bridge bias terminal of the pressure sensor, the reference terminal of the analog conditioning circuit, or the front-end calibration injection terminal; and the preset active electronically regulated excitation sequence is a multi-level stepped excitation sequence.

[0089] The liquid link dynamic anomaly identification device provided in this application, employing the liquid link dynamic anomaly identification method in the above embodiments, can solve the technical problem of not being able to simultaneously satisfy dynamic validity verification of pressure detection links and distinguish and confirm initial abnormal states. Compared with the prior art, the beneficial effects of the liquid link dynamic anomaly identification device provided in this application are the same as those of the liquid link dynamic anomaly identification method provided in the above embodiments, and other technical features in the liquid link dynamic anomaly identification device are the same as those disclosed in the methods of the above embodiments, and will not be repeated here.

[0090] This application provides a liquid link dynamic anomaly identification device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the liquid link dynamic anomaly identification method in the above embodiment 1.

[0091] The following is for reference. Figure 3 The diagram illustrates a structural schematic suitable for implementing the liquid link dynamic anomaly identification device in the embodiments of this application. The liquid link dynamic anomaly identification device in the embodiments of this application may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Description), PMPs (Portable Media Players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 3 The liquid link dynamic anomaly identification device shown is merely an example and should not impose any limitations on the functionality and scope of use of the embodiments of this application.

[0092] like Figure 3As shown, the liquid link dynamic anomaly identification device may include a processing unit 1001 (e.g., a central processing unit, a graphics processing unit, etc.), which can perform various appropriate actions and processes according to a program stored in ROM (Read Only Memory) 1002 or a program loaded from storage device 1003 into RAM (Random Access Memory) 1004. RAM 1004 also stores various programs and data required for the operation of the liquid link dynamic anomaly identification device. The processing unit 1001, ROM 1002, and RAM 1004 are interconnected via bus 1005. Input / output (I / O) interface 1006 is also connected to the bus. Typically, the following systems can be connected to I / O interface 1006: input devices 1007 including, for example, touch screens, touchpads, keyboards, mice, image sensors, microphones, accelerometers, gyroscopes, etc.; output devices 1008 including, for example, LCDs (Liquid Crystal Displays), speakers, vibrators, etc.; storage devices 1003 including, for example, magnetic tapes, hard disks, etc.; and communication devices 1009. Communication device 1009 allows the liquid link dynamic anomaly identification device to communicate wirelessly or wiredly with other devices to exchange data. While the figures show liquid link dynamic anomaly identification devices with various systems, it should be understood that implementation or possession of all the systems shown is not required. More or fewer systems may be implemented alternatively.

[0093] Specifically, according to the embodiments disclosed in this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments disclosed in this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device, or installed from storage device 1003, or installed from ROM 1002. When the computer program is executed by processing device 1001, it performs the functions defined in the methods of the embodiments disclosed in this application.

[0094] The liquid link dynamic anomaly identification device provided in this application, employing the liquid link dynamic anomaly identification method in the above embodiments, can solve the technical problem of liquid link dynamic anomaly identification. Compared with the prior art, the beneficial effects of the liquid link dynamic anomaly identification device provided in this application are the same as those of the liquid link dynamic anomaly identification method provided in the above embodiments, and other technical features in this liquid link dynamic anomaly identification device are the same as those disclosed in the previous embodiment method, and will not be repeated here.

[0095] It should be understood that the various parts disclosed in this application can be implemented using hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in any suitable manner in one or more embodiments or examples.

[0096] The above are merely specific embodiments of this application, but the scope of protection of this application is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application. Therefore, the scope of protection of this application should be determined by the scope of the claims.

[0097] This application provides a computer-readable storage medium having computer-readable program instructions (i.e., a computer program) stored thereon, the computer-readable program instructions being used to execute the liquid link dynamic anomaly identification method in the above embodiments.

[0098] The computer-readable storage medium provided in this application may be, for example, a USB flash drive, but is not limited to, electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to: electrical connections having one or more wires, portable computer disks, hard disks, RAM (Random Access Memory), ROM (Read Only Memory), EPROM (Erasable Programmable Read Only Memory or Flash Memory), optical fibers, CD-ROM (CD-Read Only Memory), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0099] The aforementioned computer-readable storage medium may be included in the liquid link dynamic anomaly identification device; or it may exist independently and not assembled into the liquid link dynamic anomaly identification device.

[0100] The aforementioned computer-readable storage medium carries one or more programs, which, when executed by the liquid link dynamic anomaly identification device, cause the liquid link dynamic anomaly identification device to: acquire the initial pressure AD value of the pressure detection link; The active electronic control module is controlled to apply a preset active electronic control excitation sequence to a preset injection node of the pressure detection link; Collect the AD response sequences corresponding to each level of excitation in the preset active electronically regulated excitation sequence; Based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, it is determined whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained. Based on the state of the initial pressure AD value and the judgment result of the dynamic response capability, the self-test result of the pressure detection link is output.

[0101] Computer program code for performing the operations of this application can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including LAN (Local Area Network) or WAN (Wide Area Network)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0102] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0103] The modules described in the embodiments of this application can be implemented in software or hardware. The names of the modules do not necessarily limit the functionality of the unit itself.

[0104] The readable storage medium provided in this application is a computer-readable storage medium that stores computer-readable program instructions (i.e., a computer program) for executing the above-described liquid link dynamic anomaly identification method, and is able to solve the technical problem of liquid link dynamic anomaly identification. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided in this application are the same as the beneficial effects of the liquid link dynamic anomaly identification method provided in the above embodiments, and will not be repeated here.

[0105] This application also provides a computer program product, including a computer program that, when executed by a processor, implements the steps of the liquid link dynamic anomaly identification method described above.

[0106] The computer program product provided in this application can solve the technical problem of not being able to simultaneously satisfy the requirements of dynamic validity verification of pressure detection links and differentiation and confirmation of initial abnormal states. Compared with the prior art, the beneficial effects of the computer program product provided in this application are the same as those of the liquid link dynamic anomaly identification method provided in the above embodiments, and will not be repeated here.

[0107] The above are only some embodiments of this application and do not limit the patent scope of this application. All equivalent structural transformations made under the technical concept of this application and using the contents of the specification and drawings of this application, or direct / indirect applications in other related technical fields, are included in the patent protection scope of this application.

Claims

1. A method for identifying dynamic anomalies in a liquid link, characterized in that, The liquid link dynamic anomaly identification method includes: Acquire the initial pressure AD value of the pressure detection link; The active electronic control module is controlled to apply a preset active electronic control excitation sequence to a preset injection node of the pressure detection link; Collect the AD response sequences corresponding to each level of excitation in the preset active electronically regulated excitation sequence; Based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, it is determined whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained. Based on the state of the initial pressure AD value and the judgment result of the dynamic response capability, the self-test result of the pressure detection link is output.

2. The method as described in claim 1, characterized in that, The step of outputting the self-test result of the pressure detection link based on the state of the initial pressure AD value and the judgment result of the dynamic response capability includes: When the initial pressure AD value is within the preset normal range and the pressure detection link is determined to have effective dynamic response capability, the pressure detection link is determined to be in a normal state. If the initial pressure AD value is within the preset normal range, but it is determined that the pressure detection link does not have effective dynamic response capability, it is determined that the pressure detection link has a hidden fault. If the initial pressure AD value exceeds the preset normal range, but it is determined that the pressure detection link has effective dynamic response capability, it is judged as a suspected transient anomaly, and the review process is initiated. When the initial pressure AD value exceeds the preset normal range and it is determined that the pressure detection link does not have effective dynamic response capability, the pressure detection link is determined to be in a fault state.

3. The method as described in claim 2, characterized in that, The steps for initiating the review process include: After a preset review time, the steps of collecting the initial pressure AD value, applying the preset active electronic control excitation sequence, collecting the AD response sequence, and judging the dynamic response capability are executed again to obtain the result after the re-execution. Analyze the results after the re-execution, and when the initial pressure AD value recovers to the preset normal range and the dynamic response capability is effective, confirm that the previous anomaly was a transient anomaly. If the initial pressure AD value is still abnormal or the dynamic response capability is invalid, it is confirmed as a real fault.

4. The method as described in claim 1, characterized in that, The step of determining whether the pressure detection link has effective dynamic response capability based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, and obtaining the judgment result of the dynamic response capability, includes: Extract at least two of the following features from the AD response sequence for joint judgment: The total response amplitude is the difference between the maximum and minimum values ​​in the AD response sequence; Normalized response gain is the ratio of the total amplitude of the response to the total change in the preset active electronically regulated excitation sequence. Response direction consistency is used to determine whether the overall change trend of the AD response sequence is consistent with the change direction of the preset active ESC excitation sequence. Adjacent change continuity is used to determine whether the change between adjacent levels in the AD response sequence exceeds a preset threshold or whether the number of reverse changes exceeds a preset threshold. The extracted features are compared with preset conditions to comprehensively determine whether the pressure detection link has effective dynamic response capability, and the judgment result of dynamic response capability is obtained.

5. The method as described in claim 1, characterized in that, The method also includes an anomaly identification step during the runtime phase: Identify the mechanical cycle of the liquid delivery equipment; Based on the mechanical cycle, a phase sampling window is determined, which is configured to avoid pressure peak and valley regions caused by mechanical action. Within the phase sampling window of multiple consecutive mechanical cycles, representative pressure values ​​are extracted respectively; Based on the representative pressure values ​​of the consecutive multiple mechanical cycles, the operating pressure characteristic value is determined; Operational anomalies are identified based on the aforementioned operating pressure characteristic values.

6. The method as described in claim 5, characterized in that, The step of identifying operational anomalies based on the operational pressure characteristic value includes: When a predetermined number of consecutive operating pressure characteristic values ​​exceed a preset threshold range, it is determined to be a real operational anomaly. When only one or fewer of the predetermined number of operating pressure characteristic values ​​exceed the limit, it is determined to be a transient disturbance; When the operating pressure characteristic value shows a continuous changing trend and the slope of the change exceeds a preset trend threshold, it is determined to be a potential anomaly.

7. The method as described in claim 1, characterized in that, The preset injection node is the bridge bias terminal of the pressure sensor, the reference terminal of the analog conditioning circuit, or the front-end calibration injection terminal; the preset active electronically regulated excitation sequence is a multi-level stepped excitation sequence.

8. A device for identifying dynamic anomalies in a liquid link, characterized in that, The liquid link dynamic anomaly identification device includes: The initial pressure acquisition module is used to acquire the initial pressure AD value of the pressure detection link; The excitation control module is used to control the active electronic control module to apply a preset active electronic control excitation sequence to the preset injection node of the pressure detection link; The response acquisition module is used to acquire the AD response sequence corresponding to each level of excitation in the preset active electronically regulated excitation sequence; The dynamic response judgment module is used to determine whether the pressure detection link has effective dynamic response capability based on the response amplitude characteristics and response pattern characteristics of the AD response sequence, and to obtain the judgment result of the dynamic response capability. The self-test result determination module is used to output the self-test result of the pressure detection link based on the state of the initial pressure AD value and the judgment result of the dynamic response capability.

9. A dynamic anomaly identification device for liquid links, characterized in that, The device includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, the computer program being configured to implement the steps of the liquid link dynamic anomaly identification method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the liquid link dynamic anomaly identification method as described in any one of claims 1 to 7.

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