Dynamic intelligent calibration method and system for detector
By employing a dynamic intelligent calibration method for the detector, real-time sampling, and multiple safety verifications, the problem of cross-interference gases affecting electrochemical CO sensors in battery packs has been solved, achieving efficient and accurate CO concentration detection and reducing false alarms.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-15
- Publication Date
- 2026-03-27
AI Technical Summary
In the prior art, electrochemical CO sensors in battery packs are susceptible to cross-interference gases, leading to false alarms and inaccurate readings. Existing zeroing methods are inefficient and cannot cope with sudden interference, nor can they distinguish between actual CO leakage and reading increases caused by cross-interference.
The detector adopts a dynamic intelligent calibration method, which automatically identifies the zeroing time through real-time sampling and multiple safety verifications, and dynamically corrects cross-interference in complex environments, including the state safety conditions, stability safety conditions and time constraints of the main monitoring item and the auxiliary monitoring item, so as to realize automatic zeroing and updating of calibration reference values.
It improves the accuracy and timeliness of detector calibration, reduces false alarms, enhances system reliability and convenience, and prevents excessive zeroing from masking real risks.
Smart Images
Figure CN121741601A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application belongs to the technical field of sensing monitoring, and particularly relates to a detector dynamic intelligent calibration method and system. BACKGROUND
[0002] It is well known that various types of sensing detectors are widely used in various safety monitoring application scenarios. For example, in the field operation of electrochemical energy storage systems, the safety monitoring of lithium ion battery packs becomes particularly important. Among them, the carbon monoxide (CO) concentration is one of the key indicators (i.e., the main monitoring item) for early warning of battery thermal runaway. Currently, electrochemical CO sensors are usually used in battery packs for CO concentration monitoring.
[0003] However, in actual application, it is found that the battery pack will produce various gases (such as hydrogen, ethylene, propylene, etc., which can be relatively considered as auxiliary monitoring items) during normal operation, and these gases will cause cross interference to the electrochemical CO sensor, resulting in false high CO detection readings and false alarms. In the prior art, the CO sensor usually adopts a method of periodic manual zero calibration or automatic zero calibration at system startup to reduce cross interference, but these methods have obvious defects, which are specifically described as follows:
[0004] 1. The method of periodic manual zero calibration requires manual intervention, is low in efficiency, and cannot cope with sudden interference;
[0005] 2. The method of automatic zero calibration at system startup, even if the CO concentration is zero at startup, but the battery pack may produce interference gases immediately after operation;
[0006] 3. The existing method cannot distinguish between real CO leakage and reading rise caused by cross interference.
[0007] The above description of the detection of CO in the battery pack and the zero calibration method of the corresponding detector is only a typical example, and there are many similar application scenarios, similar monitoring requirements and similar calibration defects in reality. Therefore, there is an urgent need for a detector zero calibration scheme that can intelligently identify the zero calibration opportunity and dynamically correct the existing cross interference in the composite environment. SUMMARY
[0008] The present application provides a detector dynamic intelligent calibration method and system, aiming to improve the accuracy, timeliness and convenience of detector calibration. The technical solutions for realizing the present application are as follows:
[0009] In a first aspect, the present application provides a detector dynamic intelligent calibration method, comprising:
[0010] S100, presetting state safety conditions for the sampling values of the main monitoring item and the auxiliary monitoring item, presetting stability safety conditions for the change characteristics of the main monitoring item, and presetting time constraint conditions based on calibration cycle empirical values;
[0011] S200, controlling the main monitoring item detector and the auxiliary monitoring item detector to sample the detected space in real time, obtaining the main monitoring item sampling value, the auxiliary monitoring item sampling value, and the main monitoring item change characteristics, and recording the current sampling time point;
[0012] S300, judging whether the current sampling time point meets the time constraint conditions, judging whether the currently obtained main monitoring item sampling value and auxiliary monitoring item sampling value meet the state safety conditions, and judging whether the main monitoring item change characteristics meet the stability safety conditions. If all the above conditions are met, step S400 is entered, otherwise, step S200 is returned.
[0013] S400, determining that the current sampling time point is located in a safety window period, and controlling the main monitoring item detector to perform automatic zero calibration operation, and recording calibration data and a time stamp.
[0014] As a preferred technical solution, before sampling, the main monitoring item detector is calibrated for zero point and corresponding sampling value, and the current calibration reference value is recorded and solidified as an initial reference for subsequent calibration.
[0015] As a preferred technical solution, the main monitoring item sampling value includes an actual sampling value and a standard sampling value, and the standard sampling value is calculated based on the current reference calibration value. In step S300, when judging whether the currently obtained main monitoring item sampling value meets the state safety conditions, it is judged whether the actual sampling value is lower than a preset alarm threshold value and whether the standard sampling value is lower than a preset early warning threshold value.
[0016] As a preferred technical solution, the main monitoring item change characteristics include a real-time change slope of the actual sampling value and a maximum floating value of the standard sampling value within a preset time period T. In step S300, when judging whether the main monitoring item change characteristics meet the stability safety conditions, it is specifically judged whether the following two conditions are met: ① the real-time change slope of the actual sampling value is less than a preset change slope threshold value; and ② the difference between the maximum value and the minimum value of the standard sampling value within the past time period T is less than a preset floating threshold value.
[0017] As a preferred technical solution, the time constraint condition is a time interval threshold value. In step S300, when judging whether the current sampling time point meets the time constraint condition, it is judged whether the time difference between the current sampling time point and the time point of the last calibration operation is greater than the time interval threshold value.
[0018] As a preferred technical solution, the detector dynamic intelligent calibration method further comprises a strategy step of determining whether to update the saved calibration reference value after the automatic zero calibration operation is completed, specifically comprising:
[0019] S510, obtaining a current zero point offset according to the calibration data recorded in the current automatic zero calibration operation, and recalculating and uploading the standard sampling value based on the current zero point offset;
[0020] S520, determining whether the current saved calibration reference value is invalid or exceeds a preset deviation threshold, if yes, proceeding to step S530A, otherwise, proceeding to step S530B;
[0021] S530A, updating the current zero point offset to a new calibration reference value and solidifying the saving;
[0022] S530B, maintaining the current calibration reference value unchanged.
[0023] As a preferred technical solution, the detector dynamic intelligent calibration method further comprises an operation step of taking a redundancy protection measure after the automatic zero calibration operation is completed, specifically comprising:
[0024] Continuously monitoring the actual sampling value, if the actual sampling value continuously decreases and stabilizes for a preset period of time, and the actual sampling value is lower than the current zero point offset value and the difference between them is greater than a preset difference threshold, it is determined that the main monitoring item detector has an abnormal drift; at this time, a re-zero calibration is automatically triggered to pull the calibration value back to a position close to the actual zero point.
[0025] As a preferred technical solution, the detected space is the internal space of a battery pack containing a plurality of battery monomers; the main monitoring item is the concentration of CO gas, and the auxiliary monitoring item includes the concentration of H2 gas, the concentration of smoke, the internal temperature of the battery pack and the temperature of each battery monomer; when determining whether the currently obtained auxiliary monitoring item sampling value meets the state safety condition in step S300, it is specifically determined whether the following three conditions are met: a. whether the H2 concentration has not triggered an over-limit alarm; b. whether the smoke concentration has not triggered a smoke alarm; c. whether the internal temperature of the battery pack and the temperature of each battery monomer are all lower than a preset temperature threshold.
[0026] In a second aspect, the present application provides a detector dynamic intelligent calibration system, comprising a main controller, a main monitoring item detector and an auxiliary monitoring item detector; the main monitoring item detector and the auxiliary monitoring item detector are arranged in a detected space; the main controller is connected and cooperated with the main monitoring item detector and the auxiliary monitoring item detector, and cooperates to execute the detector dynamic intelligent calibration method described above.
[0027] As a preferred technical scheme, the main controller is a fire control controller, the main monitoring item detector and the auxiliary monitoring item detector are arranged in a battery pack, the main monitoring item detector is a CO gas detector, and the auxiliary monitoring item detector comprises an H2 gas detector, a smoke detector and a temperature detector.
[0028] The probe dynamic intelligent calibration method and system have the following beneficial effects: the reading error caused by cross interference is effectively eliminated through the intelligent zero calibration scheme, the accuracy of the main monitoring item is improved, false alarms caused by interference gas are significantly reduced, the system reliability is improved, the zero calibration strategy can be automatically adjusted according to the actual operation state of the detected space, the timeliness and convenience are improved, and the real risk is prevented from being covered by excessive zero calibration through multiple security checks and minimum time interval constraints. BRIEF DESCRIPTION OF DRAWINGS
[0029] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained without creative labor on the basis of these drawings.
[0030] Figure 1 is a flow chart of the probe dynamic intelligent calibration method provided by the embodiment of the present application.
[0031] Figure 2 is a block diagram of the probe dynamic intelligent calibration system provided by the embodiment of the present application.
[0032] Figure 3 is a system block diagram of the probe dynamic intelligent calibration method applied to battery pack CO gas monitoring provided by the embodiment of the present application.
[0033] Figure 4 is a flow chart of the probe dynamic intelligent calibration method applied to battery pack CO gas monitoring provided by the embodiment of the present application. DETAILED DESCRIPTION
[0034] In order to make the technical solutions of the present application clearer and the technical advantages more obvious, the technical solutions of the present application will be described clearly and completely in combination with specific embodiments. Obviously, the described embodiments are only some of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope disclosed by the present application.
[0035] It should be noted that, in the present document, the terms "comprises", "comprising", or any other variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element preceded by "comprises... a" does not, without more constraints, foreclose the existence of additional identical elements in the process, method, article, or apparatus that comprises the element. Also, like terms have like meanings unless explicitly stated otherwise.
[0036] It should be understood that, although the steps in the flowcharts of the embodiments of the present application are shown in a sequence following the arrows, the steps are not necessarily executed in the order following the arrows. Unless otherwise specified herein, the execution of the steps is not limited in sequence, and can be executed in other sequences. Moreover, at least some of the steps in the flowcharts can include multiple sub-steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence is not necessarily sequential, but can be round-robin or alternately executed with other steps or sub-steps or stages of other steps.
[0037] Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase "in an embodiment" in various places in the specification are not necessarily referring to the same embodiment, nor are they necessarily mutually exclusive of one another. It is expressly understood that the embodiments described herein are merely possible embodiments of the application and are not a limitation on the scope of the application. Numerous specific details of the application are set forth in the accompanying drawings and in the description below. However, it is understood that the application is not limited to the specific details
[0038] Referring to Figure 1 As shown, as a basic embodiment, the embodiment provides a detector dynamic intelligent calibration method, comprising:
[0039] S100, presetting a state safety condition for the sampling value of the main monitoring item and the auxiliary monitoring item, presetting a stability safety condition for the change characteristic of the main monitoring item, and presetting a time constraint condition based on a calibration period experience value;
[0040] S200, controlling the main monitoring item detector and the auxiliary monitoring item detector to sample the detected space in real time, obtaining the main monitoring item sampling value, the auxiliary monitoring item sampling value, and the main monitoring item change characteristic, and recording the current sampling time point;
[0041] S300: Determine whether the current sampling time point meets the time constraint condition, determine whether the currently acquired main monitoring item sampling value and auxiliary monitoring item sampling value meet the state safety condition, and determine whether the change characteristics of the main monitoring item meet the stability safety condition. If all the above conditions are met, proceed to step S400; otherwise, return to step S200.
[0042] S400: Determine that the current sampling time point is within the safe window period, control the main monitoring item detector to perform automatic zeroing operation, and record calibration data and timestamp.
[0043] To prevent zero-point drift in the primary monitoring detector before use, in this embodiment, the primary monitoring detector is calibrated for its zero point and corresponding sampled values before assembly, i.e., before the initial sampling. These calibration reference values are recorded and saved as the initial reference for subsequent calibrations. Preferably, the auxiliary monitoring detector is also calibrated for its zero point and corresponding sampled values before the initial sampling, serving as a correction reference for subsequent sampling.
[0044] As a specific implementation, the main monitoring item sampling value includes an actual sampling value and a standard sampling value. The standard sampling value is calculated based on the current benchmark calibration value of the actual sampling value. Correspondingly, in step S300, when determining whether the currently acquired main monitoring item sampling value meets the state safety condition, it is determined whether the actual sampling value is lower than a preset alarm threshold and whether the standard sampling value is lower than a preset warning threshold. When the actual sampling value is lower than the preset alarm threshold and the standard sampling value is lower than the preset warning threshold, it is determined that the main monitoring item sampling value meets the state safety condition.
[0045] As a specific implementation, the change characteristics of the main monitoring item include the real-time change slope of the actual sampled value and the maximum fluctuation value of the standard sampled value within a preset time period T. Correspondingly, in step S300, when determining whether the change characteristics of the main monitoring item meet the stability and safety conditions, the following two conditions are specifically determined: ① The real-time change slope of the actual sampled value is less than a preset change slope threshold; ② Within the past time period T, the difference between the maximum and minimum values of the standard sampled value is less than a preset fluctuation threshold. When both conditions ① and ② are met, it is determined that the change characteristics of the main monitoring item meet the stability and safety conditions.
[0046] As a specific implementation method, the time constraint condition is a time interval threshold, which is manually set based on the empirical value of historical calibration time intervals and factors such as security monitoring level requirements; correspondingly, in step S300, when determining whether the current sampling time point meets the time constraint condition, it is determined whether the time difference between the current sampling time point and the time point of the last calibration operation is greater than the time interval threshold. If so, it is determined that the current sampling time point meets the time constraint condition.
[0047] As an optional implementation, the detector dynamic intelligent calibration method further includes a strategy step on whether to update the saved calibration reference value after the automatic zeroing operation is completed, specifically including:
[0048] S510. Obtain the current zero-point offset based on the calibration data recorded in the current automatic zero-point operation, recalculate the standard sample value based on the current zero-point offset, and upload it.
[0049] S520. Determine whether the currently saved calibration reference value is invalid or exceeds the preset deviation threshold. If yes, proceed to step S530A; otherwise, proceed to step S530B.
[0050] S530A: Update the current zero-point offset to the new calibration reference value and save it.
[0051] S530B; Maintain the current calibration reference value.
[0052] As another optional implementation, the detector dynamic intelligent calibration method further includes a redundancy protection step after the automatic zeroing operation is completed. Specifically, it includes: continuously monitoring the actual sampled value; if the actual sampled value continues to decrease and stabilizes for a preset period of time, and the actual sampled value is lower than the current zero-point offset value and the difference between the two is greater than a preset difference threshold, then it is determined that the main monitoring item detector has experienced abnormal drift; at this time, a re-zeroing is automatically triggered to pull the calibration value back to a position close to the actual zero point.
[0053] Combination Figure 2 As shown in the figure, this embodiment of the invention also provides a detector dynamic intelligent calibration system, including a main controller, a main monitoring item detector, and an auxiliary monitoring item detector; the main monitoring item detector and the auxiliary monitoring item detector are disposed in the space to be detected; the main controller is connected and cooperates with the main monitoring item detector and the auxiliary monitoring item detector, and cooperates to execute the detector dynamic intelligent calibration method described above.
[0054] The technical solution of the present invention will be further described below using gas safety monitoring of a battery pack as a specific example:
[0055] When monitoring the gas safety of a battery pack, the space being detected is the internal space of the battery pack containing a plurality of individual battery cells; the main monitoring item is the concentration of CO gas, and the auxiliary monitoring items include: the concentration of H2 gas, the concentration of smoke, the internal temperature of the battery pack, and the temperature of each individual battery cell.
[0056] At this time, see Figure 3 As shown, the main controller of the detector dynamic intelligent calibration system is the fire controller, the main monitoring detector is the CO gas detector, and the auxiliary monitoring detectors include the H2 gas detector, the smoke detector and the temperature detector. The main monitoring detector and the auxiliary monitoring detector are installed in the battery pack.
[0057] See Figure 4 As shown, firstly, to avoid zero-point drift in the CO gas detector (i.e., the main monitoring item detector) before use, in this example, a reference value calibration and storage are performed first: The CO gas detector is precisely calibrated for zero point and concentration on a standard gas calibration platform; this zero-point calibration value is recorded and defined as the reference value CO. base (i.e., calibration reference value); write the reference value into a non-volatile memory (such as FLASH) and save it as the initial reference for subsequent calibration.
[0058] Secondly, the concentrations of CO gas, H2 gas, smoke, internal temperature of the battery pack, and individual cell temperatures were sampled and uploaded to the fire control system. The CO gas concentration samples included the actual CO concentration values. real (i.e., the uncorrected raw measurement) and the standard sampled value CO cal (Based on current CO) base (Calculated calibrated concentration value).
[0059] In addition, based on the actual sampled value CO real and standard sample value CO cal Then, the variation characteristics of CO gas concentration (i.e., the variation characteristics of the main monitoring item) are calculated, where the variation characteristics of CO gas concentration include the actual sampled CO value. real Real-time changing slope K real and standard sampled value CO cal The maximum fluctuation value within a preset time period T.
[0060] Furthermore, the time interval threshold for the aforementioned time constraint is set to 10 days.
[0061] Next, the safe window period will be intelligently determined, as follows:
[0062] (1) Determine whether the time difference between the current sampling time and the time of the last calibration operation is greater than 10 days;
[0063] (2) Determine the actual sampled value CO real Whether it is lower than the preset alarm threshold, the standard sampled value CO is used for judgment. cal Whether it is below the preset warning threshold; at the same time, determine whether the H2 concentration has not triggered the over-limit alarm and whether the smoke concentration has not triggered the smoke alarm;
[0064] (3) Determine whether the internal temperature of the battery pack and the temperature of each individual cell are all below the preset temperature threshold.
[0065] (4) Determine the real-time slope K real Is it less than a preset slope threshold, such as 50 ppm / min?
[0066] (5) Determine the standard sample value CO within a past time period T, such as 24 hours. cal Whether the difference between the maximum and minimum values (i.e., the maximum floating value) is less than a preset floating threshold, for example, the floating threshold is set to 50ppm.
[0067] If all the above judgments are "yes", then the current sampling time point is determined to be within the safe window period, thereby controlling the main monitoring item detector to perform an automatic zeroing operation, recording the timestamp of this zeroing, and the CO before and after the zeroing. cal With CO real Key operating condition data such as concentration and PACK ambient temperature; all historical calibration data can be exported periodically for long-term reliability analysis and system auditing.
[0068] Furthermore, the above example also includes a strategy step for deciding whether to update the saved calibration reference value, specifically including: during zeroing, the system prioritizes not updating the reference value CO_base; only when the system determines that the current CO_base is updated... base Only when the value is invalid or the deviation is too large will it be updated to the new zero-point value for this calculation; the updated CO base Immediately stored in FLASH; the detector recalculates CO based on the new zero-point offset. cal And upload it.
[0069] In addition, the above example also includes the operational steps for implementing redundancy protection measures, specifically: as a redundancy protection measure, the system continuously monitors CO. real Value. If CO is detected. real If the value continues to decrease and stabilizes for 24 hours, and is at least 100 ppm lower than the current zero-point offset, the system determines that the detector has experienced abnormal drift. At this point, the system will automatically trigger a recalibration to bring the calibration value back to a position close to the actual zero point, ensuring the accuracy of long-term measurements.
[0070] In the specific examples above, the primary and secondary monitoring items can be switched according to the importance of the object being detected. For example, H2 concentration sampling correction can be used as the primary monitoring item, while CO concentration monitoring can be used as the secondary monitoring item. In this way, by analyzing the characteristics of hydrogen changes and setting calibration thresholds, H2 can also be dynamically and intelligently calibrated, which can solve the impact of internal environmental changes during the PACK life cycle on H2 sampling, as well as sensor aging or accuracy reduction.
[0071] The detector dynamic intelligent calibration method and system provided by this invention have the following beneficial effects:
[0072] Improve detection accuracy: Intelligent zeroing effectively eliminates reading errors caused by cross-interference, thereby improving the accuracy of CO concentration detection.
[0073] Reduce false alarms: Significantly reduce false alarms caused by interfering gases and improve system reliability.
[0074] Strong adaptability: It can automatically adjust the zeroing strategy according to the actual operating status of the battery pack.
[0075] Comprehensive security measures: Multiple security checks and minimum time interval constraints prevent excessive zeroing from masking real risks.
[0076] The above description discloses only preferred embodiments of the present invention and should not be construed as limiting the scope of the present invention. Therefore, equivalent variations made in accordance with the claims of the present invention are still within the scope of the present invention.
Claims
1. A dynamic intelligent calibration method for a detector, characterized in that, include: S100. Preset state safety conditions for the sampled values of the main monitoring item and the auxiliary monitoring item, preset stability safety conditions for the changing characteristics of the main monitoring item, and preset time constraint conditions based on the empirical value of the calibration cycle. S200 controls the main monitoring item detector and the auxiliary monitoring item detector to sample the detected space in real time, obtain the sampling value of the main monitoring item, the sampling value of the auxiliary monitoring item and the change characteristics of the main monitoring item, and record the current sampling time point; S300: Determine whether the current sampling time point meets the time constraint condition, determine whether the currently acquired main monitoring item sampling value and auxiliary monitoring item sampling value meet the state safety condition, and determine whether the change characteristics of the main monitoring item meet the stability safety condition. If all the above conditions are met, proceed to step S400; otherwise, return to step S200. S400: Determine that the current sampling time point is within the safe window period, control the main monitoring item detector to perform automatic zeroing operation, and record calibration data and timestamp.
2. The detector dynamic intelligent calibration method according to claim 1, characterized in that, Before sampling, the main monitoring item detector is calibrated with zero point and corresponding sampling value, recorded as the current calibration reference value, and the current calibration reference value is fixed and saved as the initial reference for subsequent calibration.
3. The detector dynamic intelligent calibration method according to claim 2, characterized in that, The main monitoring item sampling value includes the actual sampling value and the standard sampling value. The standard sampling value is calculated based on the current benchmark calibration value of the actual sampling value. In step S300, when determining whether the currently acquired main monitoring item sampling value meets the state safety conditions, it is determined whether the actual sampling value is lower than the preset alarm threshold and whether the standard sampling value is lower than the preset warning threshold.
4. The detector dynamic intelligent calibration method according to claim 3, characterized in that, The main monitoring item change characteristics include the real-time change slope of the actual sampled value and the maximum fluctuation value of the standard sampled value within a preset time period T; when determining whether the main monitoring item change characteristics meet the stability and safety conditions in step S300, the following two conditions are specifically determined: ① The real-time change slope of the actual sampled value is less than the preset change slope threshold; ② Within the past time period T, the difference between the maximum and minimum values of the standard sampled value is less than the preset fluctuation threshold.
5. The detector dynamic intelligent calibration method according to claim 3, characterized in that, The time constraint is a time interval threshold; in step S300, when determining whether the current sampling time point meets the time constraint, it is determined whether the time difference between the current sampling time point and the time point of the last calibration operation is greater than the time interval threshold.
6. The detector dynamic intelligent calibration method according to claim 1, characterized in that, After the automatic zeroing operation is completed, the detector dynamic intelligent calibration method also includes a strategy step on whether to update the saved calibration reference value, specifically including: S510. Obtain the current zero-point offset based on the calibration data recorded in the current automatic zero-point operation, recalculate the standard sample value based on the current zero-point offset, and upload it. S520. Determine whether the currently saved calibration reference value is invalid or exceeds the preset deviation threshold. If yes, proceed to step S530A; otherwise, proceed to step S530B. S530A: Update the current zero-point offset to the new calibration reference value and save it. S530B; Maintain the current calibration reference value.
7. The detector dynamic intelligent calibration method according to claim 3, characterized in that, The detector dynamic intelligent calibration method, after the automatic zeroing operation is completed, also includes a redundancy protection step, specifically including: The actual sampled value is continuously monitored. If the actual sampled value continues to decrease and stabilizes for a preset period of time, and the actual sampled value is lower than the current zero offset value and the difference between the two is greater than a preset difference threshold, then it is determined that the main monitoring item detector has experienced abnormal drift. At this time, a recalibration is automatically triggered to pull the calibration value back to a position close to the actual zero point.
8. The detector dynamic intelligent calibration method according to claim 1, characterized in that, The detected space is the internal space of a battery pack containing a plurality of individual battery cells; the main monitoring item is the concentration of CO gas, and the auxiliary monitoring items include: the concentration of H2 gas, the concentration of smoke, the internal temperature of the battery pack, and the temperature of each individual battery cell; in step S300, when determining whether the currently acquired sampled value of the auxiliary monitoring item meets the state safety conditions, specifically, it is determined whether the following three conditions are met: a. Whether the H2 concentration has not triggered an over-limit alarm; b. Whether the smoke concentration has not triggered a smoke alarm; c. Whether the internal temperature of the battery pack and the temperature of each individual battery cell are both lower than the preset temperature threshold.
9. A detector dynamic intelligent calibration system, characterized in that, It includes a main controller, a main monitoring item detector, and an auxiliary monitoring item detector; the main monitoring item detector and the auxiliary monitoring item detector are disposed in the space to be detected; the main controller is connected and cooperates with the main monitoring item detector and the auxiliary monitoring item detector, and cooperates to execute the detector dynamic intelligent calibration method according to any one of claims 1-8.
10. The detector dynamic intelligent calibration system according to claim 9, characterized in that, The main controller is a fire control controller. The main monitoring item detector and the auxiliary monitoring item detector are installed in the battery pack. The main monitoring item detector is a CO gas detector, and the auxiliary monitoring item detectors include an H2 gas detector, a smoke detector, and a temperature detector.