A method and system for testing the performance of foam fire extinguishing agents

Abstract

This invention relates to the field of fire extinguishing agent testing technology, and provides a method and system for testing the performance of foam fire extinguishing agents. The method includes: acquiring a first measurement parameter determined based on the foam fire extinguishing agent within a first detection zone; determining the relationship between the foam fire extinguishing agent and measurement condition data based on the measurement process of the first measurement parameter and the transfer and distribution data of the foam fire extinguishing agent, wherein the transfer and distribution data is used to characterize the transfer data of the foam fire extinguishing agent based on the first detection zone, and the measurement condition data is used to characterize the target detection conditions of the foam fire extinguishing agent after the first measurement parameter; and acquiring a second measurement parameter for the corresponding foam fire extinguishing agent within the first detection zone based on the relationship between the foam fire extinguishing agent and the measurement condition data. The technical solution of this application not only improves the detection efficiency but also achieves efficient utilization of detection resources.

Description

Technical Field

[0001] This invention belongs to the field of fire extinguishing agent testing technology, and particularly relates to a method and system for testing the performance of foam fire extinguishing agents. Background Technology

[0002] Foam extinguishing agents extinguish fires by covering the surface of burning materials, isolating oxygen, and lowering the temperature. Parameter testing of foam extinguishing agents is a core step in ensuring that they meet safety requirements and performance standards. The testing process needs to cover multiple dimensions, including performance testing and physicochemical properties.

[0003] In related technologies, when testing foam fire extinguishing agents in at least one dimension, such as physicochemical indicators, instruments such as pH meters and viscometers are used to analyze the samples. Most of the tests are done manually, with low automation and low utilization of testing resources. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for testing the performance of foam fire extinguishing agents, aiming to solve at least one problem, such as low automation and low utilization of testing resources, in the performance testing of foam fire extinguishing agents.

[0005] This invention is implemented as follows: On one hand, a method for testing the performance of a foam fire extinguishing agent includes: acquiring a first measurement parameter determined based on the foam fire extinguishing agent within a first detection zone; determining the relationship between the foam fire extinguishing agent and measurement condition data based on the measurement process of the first measurement parameter and the transfer and distribution data of the foam fire extinguishing agent, wherein the transfer and distribution data characterizes the transfer data of the foam fire extinguishing agent based on the first detection zone, and the measurement condition data characterizes the target detection conditions of the foam fire extinguishing agent after the first measurement parameter; acquiring a second measurement parameter of the corresponding foam fire extinguishing agent within the first detection zone based on the relationship between the foam fire extinguishing agent and the measurement condition data; and determining a detection sequence of the foam fire extinguishing agent for subsequent detection of parameters to be tested based on the measurement parameter, updated data of the foam fire extinguishing agent, and the remaining detection zone, wherein the measurement parameter includes the first measurement parameter and the second measurement parameter.

[0006] As a further aspect of the present invention, the acquisition of the first measurement parameter determined based on the foam extinguishing agent within the first detection area includes: reading the state parameters of the first instrument and determining the detection position of the first instrument based on the state parameters; monitoring the state of the foam extinguishing agent based on the detection position; when a stable state change image is captured within the first detection area based on the standard state image of the foam extinguishing agent, determining that the foam extinguishing agent is in a stable state after the initial state change, and performing a transfer operation of the foam extinguishing agent in this stable state; locating the second instrument in contact with the foam extinguishing agent based on the stable state change image, determining the relationship between the liquid surface profile of the foam extinguishing agent and the loading boundary of the second instrument, and determining the first measurement parameter based on the relationship between the liquid surface profile and the loading boundary.

[0007] As a further embodiment of the present invention, the second instrument in contact with the foam extinguishing agent is located based on the stable image of the state change, and the relationship between the liquid surface profile of the foam extinguishing agent and the loading boundary of the second instrument is determined. The determination of the first measurement parameter based on the relationship between the liquid surface profile and the loading boundary includes: within the set range of the first instrument, detecting the undetermined instrument in contact with the foam extinguishing agent based on the stable image of the state change and acquiring a local image including the undetermined instrument; performing binarization processing and edge detection based on the local image; when the undetermined instrument in contact with the foam extinguishing agent is detected to include the second instrument according to the edge detection operator, determining the relationship between the highest liquid surface of the foam extinguishing agent and the loading boundary of the second instrument according to the liquid surface marking direction of the second instrument; when the highest liquid surface of the foam extinguishing agent is detected to become a horizontal liquid surface in the liquid surface marking direction and no longer changes within a set time period, determining the first measurement parameter based on the display parameters related to the second instrument.

[0008] As a further aspect of the present invention, determining the relationship between the foam extinguishing agent and the measurement condition data based on the measurement process of the first measurement parameter and the transfer and distribution data of the foam extinguishing agent includes: acquiring the action information of the operation target in the stable state after the foam extinguishing agent changes its initial state; determining the injection position of the foam extinguishing agent based on the action information, wherein action information conforming to the set posture is used to indicate the injection position; locating the target application based on the injection position; determining the injection state of the foam extinguishing agent based on the associated state image of the target application, wherein the associated state image is a state display image directly associated with the target application; and after confirming the injection state, determining whether the target application meets the set coverage contact conditions based on the associated state image.

[0009] As a further aspect of the present invention, obtaining the second measurement parameter of the corresponding foam extinguishing agent in the first detection area based on the relationship between the foam extinguishing agent and the measurement condition data includes: when it is determined from the associated state image that the target application meets the set coverage contact conditions, starting to read the first timing data, and reading the state recovery amount after the foam extinguishing agent injection or the state destruction data of the foam extinguishing agent determined based on the target application; when the state recovery amount meets the mass setting conditions, or the state destruction data meets the destruction setting conditions, reading the second timing data; and determining the second measurement parameter based on the second timing data and the first timing data.

[0010] As a further aspect of the present invention, determining the detection sequence of foam extinguishing agents for subsequent parameter testing based on the measured parameters, updated data of the foam extinguishing agent, and the remaining detection area includes: updating the quantity and / or type of foam extinguishing agent for subsequent parameter testing to obtain the updated data; predicting the estimated time required for the foam extinguishing agent in the updated data to complete the subsequent parameter testing; determining whether the remaining detection area meets the detection requirements of foam extinguishing agents with priority detection requirements based on the priority detection requirements of the foam extinguishing agents in the updated data; if so, classifying the foam extinguishing agents without priority detection requirements based on the foam extinguishing agents with priority detection requirements to obtain the same type of foam extinguishing agents; generating a first detection sequence based on the foam extinguishing agents with priority detection requirements and the same type of foam extinguishing agents, wherein the priority in the first detection sequence from high to low is: foam extinguishing agents with priority detection requirements, the same type of foam extinguishing agents, and foam extinguishing agents with estimated time from short to long.

[0011] As a further aspect of the present invention, the foam extinguishing agent performance testing method further includes: when the remaining testing area does not meet the testing requirements for foam extinguishing agents with priority testing requirements, it is determined that the testing resources are insufficient, and a second testing sequence is generated. The priority in the second testing sequence from high to low is: foam extinguishing agents with priority testing requirements, and foam extinguishing agents with estimated duration from short to long.

[0012] As a further aspect of the present invention, the estimated time required for the completion of subsequent parameter detection of the foam extinguishing agent in the updated data includes: acquiring multiple sets of measurement parameters of the foam extinguishing agent;

[0013] The measured parameters are input into a pre-trained duration prediction model, which outputs the estimated duration required for the foam extinguishing agent to complete the subsequent detection of the measured parameters.

[0014] As a further aspect of the present invention, before obtaining the updated data for the foam extinguishing agent used for subsequent parameter testing, the method further includes: removing foam extinguishing agents with unqualified measured parameters from the foam extinguishing agents used for subsequent parameter testing.

[0015] As a further aspect of the present invention, a foam extinguishing agent performance testing system, based on the foam extinguishing agent performance testing method described above, includes: a first acquisition module, configured to: acquire a first measurement parameter determined based on the foam extinguishing agent within a first detection area; a relationship determination module, configured to: determine the relationship between the foam extinguishing agent and measurement condition data based on the measurement process of the first measurement parameter and the transfer and distribution data of the foam extinguishing agent, wherein the transfer and distribution data is used to characterize the transfer data of the foam extinguishing agent based on the first detection area, and the measurement condition data is used to characterize the target detection conditions of the foam extinguishing agent after the first measurement parameter; a condition acquisition module, configured to: acquire a second measurement parameter of the corresponding foam extinguishing agent within the first detection area based on the relationship between the foam extinguishing agent and the measurement condition data; and a detection sequence determination module, configured to: determine a detection sequence of the foam extinguishing agent for subsequent detection of parameters to be tested based on the measurement parameters, updated data of the foam extinguishing agent, and the remaining detection area, wherein the measurement parameters include the first measurement parameter and the second measurement parameter.

[0016] This invention provides a method and system for testing the performance of foam fire extinguishing agents. By combining standardized testing with machine vision technology, it automatically acquires first measurement parameters such as the foaming ratio, establishing a reliable data foundation for subsequent testing. It establishes a correspondence between data on foam reaching a stable state, transfer and distribution, and measurement condition data. Motion capture and image analysis are used to verify the conformity of the measurement condition data, achieving automated conversion from operational procedures to testing conditions, significantly improving the standardization of the testing process. Based on the determined measurement condition data, a precision sensor continuously monitors the foam state evolution process, automatically recording key time points when a preset threshold is reached, ensuring the accuracy and repeatability of the second measurement parameter measurement. A hierarchically optimized testing sequence is constructed using a dynamic prediction model and intelligent sorting algorithm. By employing strategies such as "emergency priority + time optimization" to construct the testing sequence, it maximizes the utilization of testing resources while ensuring timely processing of critical tasks, improving testing efficiency and achieving highly efficient use of testing resources. Attached Figure Description

[0017] Figure 1 This is the main flowchart of a method for testing the performance of foam fire extinguishing agents.

[0018] Figure 2This is a flowchart of a method for testing the performance of foam fire extinguishing agents, which involves obtaining the first measurement parameters determined based on the foam fire extinguishing agent within the first test area.

[0019] Figure 3 This is a flowchart illustrating a method for testing the performance of foam extinguishing agents, which determines the detection sequence of the foam extinguishing agent for subsequent parameter testing based on the measured parameters, updated data of the foam extinguishing agent, and the remaining test area.

[0020] Figure 4 This is a main structural diagram of a foam fire extinguishing agent performance testing system. Detailed Implementation

[0021] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative and not intended to limit the invention.

[0022] The specific implementation of the present invention will be described in detail below with reference to specific embodiments.

[0023] The present invention provides a method and system for testing the performance of foam fire extinguishing agents, which solves the technical problems in the background art.

[0024] like Figure 1 The diagram shows the main flowchart of a foam fire extinguishing agent performance testing method according to an embodiment of the present invention. The method includes: S101: acquiring first measurement parameters determined based on the foam fire extinguishing agent within a first testing area; specifically, acquiring multiple sets of first measurement parameters of the foam fire extinguishing agent measured by a standardized automatic testing device, such as core indicators like expansion ratio or 25% liquid separation time; or determining the parameters through an actual testing process, for example, automatically determining the optimal working position of the equipment by reading the working parameters of the foam generator (such as pressure gauge readings and flow meter data) to ensure accurate alignment between the foam generation position and the receiving container; secondly, utilizing... An industrial camera continuously films the process of mixing fire extinguishing agent and water in a specific ratio and generating foam through a foam generator. The real-time footage is compared with preset images of qualified foam standards. Once the foam reaches a stable state, the foam sample is automatically or manually transferred to the next testing station (such as a graduated cylinder). Finally, image recognition technology is used to accurately analyze the relationship between the foam liquid level and the container's graduation line (generally requiring a set volume, such as full volume). Combined with the net weight of the mixture (difference in mass before and after) and density, key parameters such as the foaming ratio (foaming ratio = foam volume / mixture volume = foam volume / net weight of mixture) are calculated, establishing a reliable data foundation for subsequent analysis.

[0025] S102: Based on the measurement process of the first measurement parameter and the transfer and distribution data of the foam extinguishing agent, determine the relationship between the foam extinguishing agent and the measurement condition data. The transfer and distribution data characterizes the transfer data of the foam extinguishing agent based on the first detection area, and the measurement condition data characterizes the target detection conditions of the foam extinguishing agent after the first measurement parameter. Specifically, based on the foam reaching a stable state during the process of measuring the first measurement data such as the expansion ratio, and the transfer data of the foam extinguishing agent based on the first detection area, verify whether the foam extinguishing agent meets the measurement condition data. For example, by establishing a relationship between the foam reaching a stable state, the transfer and distribution data, and the measurement condition data. The corresponding relationship is first achieved by capturing the operation actions related to the transfer and distribution data through sensors and converting them into standardized injection coordinates. Then, based on image processing technology, the foam is quantitatively analyzed to determine whether it meets the coverage contact conditions under the measurement data. For example, in the liquid separation measurement, the foam surface after being processed by the scraper and forming a complete plane is detected by three-dimensional vision, thus achieving coverage contact. This state is automatically recorded as meeting the coverage contact conditions. This step can automatically identify the operation and even the positioning injection in the transfer and distribution data that meet the specifications, and accurately determine the measurement conditions, meeting the detection needs of key steps in the detection process, improving the degree of automated detection, and facilitating the subsequent acquisition of the second measurement parameters.

[0026] S103: Based on the relationship between the foam extinguishing agent and the measurement condition data, obtain the second measurement parameters of the corresponding foam extinguishing agent in the first detection area; specifically, when it is confirmed by means of real-time image analysis that the foam coverage meets the standard contact conditions, the state evolution data of the foam is monitored simultaneously. For example, in the liquid precipitation test, the mass of the precipitated liquid obtained by a precision balance is continuously collected. When the mass of the precipitated liquid reaches a preset threshold (such as 25% of the total solution mass), the corresponding precipitation time is recorded immediately. This step significantly improves the accuracy and repeatability of the test results through objective and quantitative intelligent detection.

[0027] S104: Based on the measured parameters, updated data of the foam extinguishing agent, and the remaining detection area, determine the detection sequence of the foam extinguishing agent for subsequent detection of the parameters to be measured, wherein the measured parameters include the first measured parameter and the second measured parameter.

[0028] Specifically, as stated above, the first measurement parameter, such as the foaming ratio, and the second measurement parameter, such as the 25% separation time and the anti-burning time, are foam performance tests. Subsequent tests are generally physicochemical property tests (such as at least one of pH value, corrosivity, freezing point, and viscosity). Physicochemical property tests are relatively cheaper, so more of the remaining test areas can be set up for further performance tests, or physicochemical property tests can be performed separately. The sample library is maintained in real time using dynamic data. When a new sample is added, its basic attributes (such as extinguishing agent type, concentration ratio, and production batch) and urgency level are automatically acquired. Secondly, by calling a pre-trained time prediction model, based on the properties of the sample itself, the system learns the detection data containing the measurement parameters, outputs the estimated duration of subsequent parameter detection, and combines it with the remaining detection areas to construct a detection sequence. For example, a hierarchical optimized detection sequence is constructed: the highest priority is allocated to emergency samples to ensure they have immediate detection access, and samples within each group are arranged in ascending order of estimated duration, forming a progressive sequence structure of "priority sample → similar group A (short duration priority) → similar group B (short duration priority)". This ensures that emergency tasks are prioritized while achieving optimal allocation and efficient utilization of detection resources.

[0029] In this embodiment, standardized testing combined with machine vision technology automatically acquires first measurement parameters such as the foaming ratio, establishing a reliable data foundation for subsequent testing. A correspondence is established between data on foam reaching a stable state, transfer and distribution, and measurement condition data. Motion capture and image analysis are used to verify the compliance of the measurement condition data, achieving automated conversion from operational procedures to testing conditions and significantly improving the standardization of the testing process. Based on the determined measurement condition data, precision sensors continuously monitor the foam state evolution process, automatically recording key time points when preset thresholds are reached, ensuring the accuracy and repeatability of the second measurement parameter measurement. A hierarchically optimized testing sequence is constructed using dynamic prediction models and intelligent sorting algorithms. By employing strategies such as "urgent priority + time optimization" to construct the testing sequence, the timely processing of critical tasks is ensured while maximizing the utilization of testing resources, improving testing efficiency and achieving highly efficient use of testing resources.

[0030] like Figure 2As shown, the first measurement parameter can be directly obtained from the automatic measurement device. In some scenarios, in order to reduce costs, the present invention provides a preferred embodiment. The acquisition of the first measurement parameter determined based on the foam extinguishing agent in the first detection area includes: S1011: reading the status parameters of the first instrument and determining the detection position of the first instrument according to the status parameters; specifically, taking a foam generator as an example, after the foam extinguishing agent is input, the key operating parameters of the foam generator (including air pressure, mixed liquid flow rate and original liquid ratio) are collected. Combined with the preset process specifications and equipment space coordinates, the optimal working posture of the foam generator in the detection space is determined, and the position of its output interface, i.e., the detection position, is determined.

[0031] S1012: Based on the detection position, monitor the state of the foam extinguishing agent. When a stable state change image is captured in the first detection area according to the standard state image of the foam extinguishing agent, determine that the foam extinguishing agent is in a stable state after the initial state change, and perform a transfer operation of the foam extinguishing agent in this stable state. Specifically, continuously monitor the state of the foam extinguishing agent based on the preset detection position, and determine the state by calculating the feature similarity between the real-time image and the standard state image. When the feature similarity continuously exceeds the set threshold and the state parameter fluctuation is stable within the allowable range, automatically confirm that the foam has reached a stable state, and immediately trigger the transfer procedure to accurately transfer the sample to the next detection stage, ensuring that the whole process is completed under standardized conditions. The transfer can be completed manually or automatically.

[0032] S1013: Based on the stable image of the state change, locate the second instrument in contact with the foam extinguishing agent, determine the relationship between the liquid surface profile of the foam extinguishing agent and the loading boundary of the second instrument, and determine the first measurement parameter according to the relationship between the liquid surface profile and the loading boundary.

[0033] Specifically, once foaming is complete, the outline of the foam surface inside the container is identified and measured using visual positioning technology. The spatial geometric relationship between the liquid surface and the loading boundary is established, and key parameters such as foam volume are calculated based on visual calculations, providing a data foundation for the accurate calculation of subsequent performance indicators such as foaming ratio.

[0034] By organically integrating instrument positioning, status identification, and parameter measurement to form a detection system, the above method significantly improves measurement efficiency and result reliability, providing a reliable solution for improving the automation of foam extinguishing agent performance testing.

[0035] In a preferred embodiment of the present invention, the second instrument in contact with the foam extinguishing agent is located based on the stable state change image, and the relationship between the liquid surface profile of the foam extinguishing agent and the loading boundary of the second instrument is determined. The determination of the first measurement parameter based on the relationship between the liquid surface profile and the loading boundary includes: within the set range of the first instrument, detecting the undetermined instrument in contact with the foam extinguishing agent based on the stable state change image and acquiring a local image including the undetermined instrument; specifically, by analyzing the stable real-time image, the potential measuring instrument in contact with the foam extinguishing agent is automatically identified, and a local close-up image including the undetermined instrument is acquired through the image capture module to ensure that the target instrument is clearly visible and fully presented in the image.

[0036] Based on local image binarization and edge detection, when the edge detection operator detects that the pending instrument in contact with the foam extinguishing agent includes a second instrument, the relationship between the highest liquid level of the foam extinguishing agent and the loading boundary of the second instrument is determined according to the liquid surface marking direction of the second instrument. Specifically, the acquired local image is pre-processed with binarization, and the instrument contour features are extracted using edge detection algorithms (such as Canny and Sobel). Based on the edge detection results, when the target, i.e., the second instrument, is identified from the "pending instruments" through features such as shape and size, the relative positional relationship between the foam liquid surface contour and the loading boundary is accurately analyzed according to the unique liquid surface marking direction of the instrument.

[0037] When the highest level of the foam extinguishing agent is detected to become a horizontal level in the direction indicated by the liquid level mark and does not change within a set time, the first measurement parameter is determined based on the display parameters associated with the second instrument.

[0038] Specifically, continuously monitor changes in the liquid level in the direction of the liquid level indicator on the second instrument. When the highest level of the foam extinguishing agent detected in the direction of the liquid level indicator becomes a horizontal liquid level and no longer changes within a set time, it indicates that the foam is allowed to naturally fill the second instrument (such as a graduated cylinder) and overflow, forming a raised foam column. Then, use a scraper to scrape it flat in one go (this action is similar to the scraping after sampling when measuring the 25% precipitation time, and will not be described here; it can be done automatically or manually). This action has been completed. At this time, the relevant display parameters of the second instrument are automatically recorded to determine the first measurement parameter and complete the preliminary data acquisition process.

[0039] The foam volume is directly displayed by measuring parameters, such as the full volume of a graduated cylinder as the second instrument (generally, the full volume parameter is read). The mass of the mixture contained in the foam (with a density approximately equal to water) is then used as the denominator, and the difference between the two is the expansion ratio. This value directly reflects the expansion performance of the foam and is a key indicator for evaluating the foaming ability of foam extinguishing agents.

[0040] The above achieves automated and precise measurement through intelligent image processing: first, the detection instrument is located using state recognition technology, and then the measurement parameters are automatically obtained through edge analysis and liquid surface stability monitoring, which significantly improves detection efficiency and standardization, and enhances the reliability of detection results.

[0041] In a preferred embodiment of the present invention, determining the relationship between the foam extinguishing agent and the measurement condition data based on the measurement process of the first measurement parameter and the transfer and distribution data of the foam extinguishing agent includes: acquiring the action information of the operation target in the stable state after the foam extinguishing agent changes its initial state, and determining the injection position of the foam extinguishing agent based on the action information, wherein action information conforming to the set posture is used to indicate the injection position; specifically, capturing the action information of the operator or robotic arm through a visual sensor (such as a camera) or motion sensor, analyzing the posture characteristics of the action (such as the angle, height, and movement trajectory of the handheld injector), and determining that the action conforms to the set posture (such as vertical alignment and appropriate distance) as a compliant operation; and determining the precise injection position of the foam extinguishing agent based on the spatial coordinates of the compliant action.

[0042] The target application is located based on the injection location, and the injection status of the foam extinguishing agent is determined based on the associated status image of the target application. The associated status image is a status display image directly associated with the target application. Specifically, according to the injection location, the vision sensor is automatically adjusted to focus on the target application (such as a liquid analyzer or combustion plate), and the associated status image of the target is collected in real time (i.e., a video or image sequence that directly displays the foam injection process). Through image analysis, the flow and coverage process of the foam are monitored.

[0043] After confirming the injection status, determine whether the target application meets the set coverage contact conditions based on the associated status image.

[0044] Specifically, by analyzing the associated state images of the target application in real time, multi-dimensional visual features and other criteria are used to evaluate the coverage contact conditions, which must meet at least one of the parameters or procedures in the foam extinguishing agent test. For example, the acquired image is converted into a grayscale image, and the complete outline of the container opening is found through edge detection. Then, the foam area is separated using threshold segmentation, and it is checked whether the foam surface coincides with the edge outline of the container. Next, the pixel grayscale variance of the foam area is analyzed. If the variance is less than a set threshold (uniform surface texture), the leveling is deemed qualified. Finally, by calculating the ratio of the foam area to the container opening area (e.g., reaching 0.98), complete filling without any gaps is confirmed. When all the above conditions are met, the system determines that the set coverage contact conditions are met. For details, please refer to the relevant explanation in the next embodiment.

[0045] It should be understood that by capturing and analyzing operational actions in real time, the system can automatically identify compliant operational postures and accurately locate the injection position; by quantitatively setting operational parameter standards, it ensures the consistency of test conditions for each test; at the same time, the system has the ability to respond in real time and record complete data, which not only meets the immediate control requirements of the detection process, but also provides a reliable basis for detection traceability and improves the degree of automated detection.

[0046] In a preferred embodiment of the present invention, obtaining the second measurement parameter of the foam extinguishing agent corresponding to the first detection area based on the relationship between the foam extinguishing agent and the measurement condition data includes:

[0047] When the target applied material meets the set coverage contact conditions based on the associated state image, the first timing data is read, and the state recovery amount after foam extinguishing agent injection or the state destruction data of foam extinguishing agent determined based on the target applied material is read. Specifically, for the liquid precipitation measuring device, three-dimensional visual scanning is used to confirm that the foam has filled the container to the overflow state, and the edge detection algorithm is used to verify that the upper surface of the foam column is flush with the plane of the container opening. When it is identified that the foam surface after scraping forms a complete plane without structural defects, the system automatically records that the state meets the coverage contact conditions, and then records the mass of the precipitated liquid in real time using a high-precision balance. For the fire resistance test plate, multi-view image fusion technology is used to detect the foam layer coverage state, and the coverage rate of the foam layer covering the fuel surface is verified by the segmentation algorithm. At the same time, the interface area image is converted into a binary image and then vertically projected to count the distribution of each column of pixels. If the interface is flat and continuous, the projection curve is single-peaked and the peak width is uniform; if double peaks or breaks appear, it indicates that the interface is not flat or there is a break. The foam is deemed to meet the coverage requirements when the following conditions are met simultaneously: 1) the foam coverage rate reaches the standard threshold (e.g., ≥99%); 2) the foam-fuel interface is flat and continuous; then, the integrity of the foam layer structure is captured by RGB cameras, and the damaged area is quantified using morphological algorithms.

[0048] When the state recovery amount meets the quality setting condition, or the state destruction data meets the destruction setting condition, the second timing data is read; specifically, in the liquid precipitation test, the state recovery amount is continuously recorded by a high-precision balance to obtain the precipitated liquid mass data. When the cumulative precipitated liquid mass recorded by the high-precision balance reaches the preset quality setting condition, that is, M_precipitated ≥ M_total × 25%) Immediately freeze the current timer, but do not record it as the final time. Simultaneously, retrieve and analyze high-speed camera data from a period prior to the trigger (e.g., the most recent 10-15 seconds) to analyze the morphology of the foam's surface. During normal liquid separation, the foam's surface should descend smoothly and uniformly. Calculate the rate of change of the liquid level height through edge detection and contour tracking. If the liquid level descent is smooth and continuous, the verification is successful. If the image shows a sudden large depression, crack, or local collapse of the liquid surface, it means that the foam structure has been abnormally damaged. The mass data at this time may be inaccurate due to the sudden collapse of the foam, and this data should be marked as invalid. That is, if the image analysis confirms that the liquid flow is continuous and the liquid level descent is smooth, the mass trigger signal is confirmed to be valid, and the current time is officially recorded as the second timing data. If the image analysis finds any abnormalities (e.g., no continuous liquid flow, abrupt change in liquid surface morphology), the mass trigger signal will be rejected. It will continue timing and monitoring, waiting for the next time point when the quality conditions are met, and restart the image verification process. At the same time, it will issue an alarm to prompt the operator to check the equipment status. It can effectively identify weight data jumps caused by abnormal conditions such as equipment vibration and sudden changes in foam structure.

[0049] In the burn resistance test, images of the foam layer's state are acquired in real time, and their similarity to a standard reference template (which records the ideal initial state of the foam layer at the start of the burn resistance test) is calculated. When the similarity value is continuously monitored to be lower than a preset threshold and the area of ​​the foam damage region (quantified by calculating the area of ​​connected pixel domains) simultaneously exceeds a set threshold, the failure standard condition is automatically determined, and the current moment is immediately recorded as the second timing data. This determination method based on image similarity analysis effectively establishes an objective and quantitative standard for identifying the test endpoint, significantly improving the accuracy and repeatability of the detection results. Based on the second timing data and the first timing data, the second measurement parameter is determined.

[0050] Specifically, the precise time difference between the two time points will be automatically calculated, and this time difference is the key parameter characterizing the foam performance. For the liquid separation test, this difference corresponds to the 25% liquid separation time, reflecting the stability of the foam. For the fire resistance test, this difference corresponds to the fire resistance time, reflecting the fire resistance durability of the foam.

[0051] In application, this embodiment uses a unified algorithm framework to measure at least one parameter in tests such as foam stability and fire resistance. The core of the algorithm is to abstract the testing process into a unified model of "state monitoring-threshold determination": by fusing image sensing and physical sensing, it continuously tracks the morphological or quality changes of the foam layer, and automatically triggers the timing termination when the monitoring data exceeds a preset threshold. This design allows the same set of logic to process both the accumulated quality data in the liquid separation test and the image morphological data in the fire resistance test, and adapts to different testing needs through configurable threshold parameters.

[0052] like Figure 3 As shown, in a preferred embodiment of the present invention, determining the detection sequence of foam extinguishing agents for subsequent parameter testing based on the measured parameters, updated data of the foam extinguishing agent, and the remaining detection area includes: S1041: updating the quantity and / or type of foam extinguishing agent for subsequent parameter testing to obtain the updated data; specifically, acquiring at least one of the following in real time: information on newly delivered samples, samples that have completed phase testing, and retested samples, and dynamically maintaining the sample library to be tested; the update process adopts an incremental data processing mechanism, automatically supplementing its basic attributes (type, concentration, production batch) when a new extinguishing agent sample is added, and synchronously updating its testing status when a sample completes a certain phase of testing. The system ensures data consistency through timestamp version management, ultimately forming a standardized dataset containing a complete list of samples to be tested and their current testing status.

[0053] S1042: Predict the estimated time required for the foam extinguishing agent to complete the subsequent parameter detection in the updated data; specifically, based on the updated sample dataset, the system calls a pre-trained time series prediction model to estimate the time. This model takes the sample feature vector (including the measured parameter values ​​and sample physicochemical properties) as input, analyzes the correlation between parameters through an attention mechanism, and outputs the time interval prediction for each sample to complete the remaining detection items; the prediction process comprehensively considers constraints such as equipment availability and environmental factors, simulates uncertainty quantification, and finally generates an estimated time matrix with confidence intervals.

[0054] S1043: Based on the priority detection requirements of foam extinguishing agents in the updated data, determine whether the remaining detection areas meet the detection requirements for foam extinguishing agents with priority detection requirements;

[0055] Specifically, priority testing requirements (such as time requirements, urgent testing requirements, etc.) are parsed into resource constraints. By monitoring the equipment status, consumable inventory, and personnel configuration in each testing area in real time, a multi-dimensional resource feature space is constructed. Generally speaking, testing requirements that meet the time and quantity requirements are considered to meet the priority testing requirements. In complex scenarios, a constraint satisfaction algorithm is used to calculate the requirement-set resource matching degree. For example, when the equipment matching degree is ≥90%, the time window compatibility is ≥85%, and the resource continuous availability is ≥95%, it is determined to meet the priority testing requirements.

[0056] S1044: If so, based on the foam extinguishing agents with priority detection requirements, classify the foam extinguishing agents without priority detection requirements to obtain the same type of foam extinguishing agents. Based on the foam extinguishing agents with priority detection requirements and the same type of foam extinguishing agents, generate a first detection sequence. The priority in the first detection sequence from high to low is: foam extinguishing agents with priority detection requirements, the same type of foam extinguishing agents, and foam extinguishing agents with estimated duration from short to long.

[0057] Specifically, the detection sequence is constructed according to a hierarchical architecture: First, priority samples with an urgent label are placed at the top of the queue to ensure they receive immediate testing access; then, the remaining ordinary samples are characterized and categorized based on their chemical similarity, overlap of detection items, and matching degree of physical parameters to form several similar groups. (This characteristic categorization of remaining ordinary samples in the detection process, i.e., classifying samples into several similar groups based on at least one of the following factors—chemical similarity, overlap of detection items, and matching degree of physical parameters—significantly reduces equipment cleaning time and brings multiple benefits. Specifically, grouping samples with similar chemical composition and / or the same detection items and / or similar physical parameters for continuous testing can minimize the number of thorough cleanings required when switching between different samples. For example, in viscosity testing, when continuously testing a batch of samples with similar viscosity, only simple rinsing or direct continuous testing is required.) This avoids the complex solvent cleaning and prolonged drying required when switching between samples with different viscosity ranges. This grouping strategy significantly reduces cleaning time, directly improving equipment utilization, shortening the overall testing cycle, and significantly reducing solvent consumption and waste disposal costs. Simultaneously, by reducing the risk of operational errors from frequent sample type changes, it ensures the accuracy of test data and improves the efficiency and standardization of laboratory work through standardized cleaning procedures. Within each established group, samples are further sorted in ascending order according to estimated completion time, forming a progressive testing sequence of "priority samples → similar group A (shorter time priority) → different group B (shorter time priority)". This sequence structure ensures priority handling of urgent tasks while maximizing the continuous operating efficiency of the testing equipment through grouped management and time-optimized sequencing, and establishes a rapid resource release mechanism to improve overall testing throughput.

[0058] For example, the generated sequence might be: emergency AFFF sample → [same group] (sample B → sample C) → [different group] (sample D → sample E); where the time between sample B and sample C, and between sample D and sample E, becomes increasingly longer.

[0059] Understandably, the above sequence optimization based on sufficient resources achieves an effective balance between detection speed and quality. It ensures the timely processing of priority tasks and maximizes overall detection efficiency through reasonable batch management. In particular, the batch detection mode based on feature classification enables similar samples to be continuously tested under the configuration of detection resources, reducing preparation time such as cleaning and improving detection efficiency.

[0060] As a preferred embodiment of the present invention, the foam extinguishing agent performance testing method further includes: when the remaining testing area does not meet the testing requirements of foam extinguishing agents with priority testing requirements, it is determined that the testing resources are insufficient, and a second testing sequence is generated. The priority in the second testing sequence from high to low is: foam extinguishing agents with priority testing requirements, and foam extinguishing agents with estimated duration from short to long.

[0061] Understandably, in conjunction with the previous embodiment, when it is detected that the remaining equipment, personnel, or time resources in the detection area cannot meet the detection needs of priority samples, a resource shortage response mechanism will be automatically triggered, generating a second detection sequence. This sequence adopts a two-level priority architecture: firstly, all priority samples are kept at the top of the queue to ensure they receive immediate response when resources are released; subsequently, the remaining ordinary samples are arranged in ascending order according to their estimated duration, forming a linear sequence of "priority samples → short-duration ordinary samples → long-duration ordinary samples." This sequence design has three advantages under resource constraints: firstly, by maintaining the priority samples at the top of the queue, it ensures immediate response to sudden resource releases; secondly, it accelerates task turnaround and quickly releases occupied resources through the principle of short-duration priority; and thirdly, it forms a dynamic detection pipeline, allowing subsequent short-duration tasks in the queue to be started immediately when some detection area resources are released ahead of schedule. This sequence structure not only guarantees the potential processing opportunities for priority tasks but also maximizes the overall detection progress by optimizing task sorting, providing an effective solution for detection management under resource constraints.

[0062] In a preferred embodiment of the present invention, the prediction of the estimated time required for the foam extinguishing agent to complete the subsequent test parameter detection in the updated data includes: acquiring multiple sets of measurement parameters of the foam extinguishing agent; inputting the measurement parameters into a pre-trained time prediction model, and outputting the corresponding estimated time required for the foam extinguishing agent to complete the subsequent test parameter detection.

[0063] Specifically, in one embodiment, the process includes: acquiring historical test data, each data entry containing: input features: the type and mixing ratio of the foam extinguishing agent, and measurement parameters (such as expansion ratio, 25% separation time, etc.); output labels: the accurate time actually taken for the sample to complete each subsequent test parameter (such as pH value, viscosity, and freezing point); feature vectorization: combining the acquired measurement parameters of multiple groups of foam extinguishing agents with their inherent properties (type, mixing ratio) to construct a standardized, digitized feature vector for each group of foam extinguishing agents.

[0064] For example, an eigenvector can be represented as [Extinguishing agent type = AFFF, mixing ratio = 3%, foaming ratio = 8, liquid release time = 12.5]. (AFFF, Aqueous Film-Forming Foam).

[0065] Model Loading: A pre-trained duration prediction model is retrieved from the repository. This model is a regression model trained using machine learning algorithms such as random forests or gradient boosting trees based on the historical data from Step 1. Duration Prediction: The standardized feature vectors of each group of extinguishing agents are simultaneously and independently input into the duration prediction model. Output: The model outputs a predicted duration vector for each group of extinguishing agents. This vector contains the estimated time required to complete all subsequent test parameters. For example, for a group of extinguishing agents, the output might be [pH test: 0.3 hours, viscosity test: 0.5 hours, ..., viscosity test: 0.3 hours], where the estimated time is the sum of the individual test durations or the duration of the key test item.

[0066] The following is a more precise implementation, specifically including: In the first stage, multiple foam extinguishing agents' expansion ratios, liquid release times, and other primary measurement parameters are acquired and fused with real-time environmental data, equipment status information, and historical detection records. During this stage, the stability and historical fluctuations of the parameter data are monitored. When abnormal fluctuations or rare parameter combinations are detected in the measurement parameters of a certain group of extinguishing agents, an "uncertainty" label is added to the sample in the dynamic feature map, and its association weight with historical abnormal data is recorded. Simultaneously, a detection task dependency model is constructed using a graph neural network to pre-establish the logical relationship network between each detection item, laying the foundation for subsequent critical path analysis. In the second stage, in the duration prediction model, the spatial attention module focuses on analyzing feature nodes labeled "uncertainty." By comparing the actual detection duration deviation of similar abnormal samples in historical data, the confidence interval of the current sample is calculated. Specifically, the model adds a risk coefficient to the baseline estimated duration based on the degree of feature uncertainty, generating a duration interval including upper and lower limits. Meanwhile, the time-series analysis module calculates the total duration of all possible detection paths based on the task dependency model established in the first stage, automatically identifies the critical path with the longest total duration, and marks the criticality of all nodes on that path. The third stage integrates the outputs of the first two stages, using a risk estimate adjusted for confidence intervals as the prediction benchmark for nodes on the critical path, and configuring priority resource channels and dynamic buffering mechanisms for the entire path. Non-critical path nodes use the benchmark estimate and are allowed to be scheduled within a floating time. Ultimately, through this differentiated calculation strategy based on multi-source data fusion for graph-based risk propagation and path criticality, an intelligent predicted duration with both risk resistance and execution assurance is formed. In the third stage, accurate calculation is achieved through deep integration of confidence interval assessment and critical path identification. Specifically, the system uses the upper limit of the confidence interval for each task on the critical path as the execution duration of that task, and configures a corresponding buffer duration at the end of the entire critical path based on the width ratio of the confidence intervals of each critical node. For non-critical path tasks, the benchmark predicted duration continues to be used. The final total estimated duration is composed of the risk adjustment duration of critical path tasks, the path buffer duration, and the baseline duration of non-critical path tasks, forming an intelligent estimation scheme that fully considers execution uncertainties and is relatively reliable.

[0067] For example, in the estimated duration calculation example, a fire extinguishing agent sample needs to complete four tests: pH value test (Task A: baseline 15 minutes / confidence interval 14-16 minutes), viscosity test (Task B: baseline 25 minutes / confidence interval 23-35 minutes), freezing point test (Task C: baseline 40 minutes / confidence interval 38-60 minutes), and foaming ratio test (Task D: baseline 20 minutes / confidence interval 18-25 minutes). The system first identifies the task dependencies as A, B, and C being able to be executed in parallel, while D needs to be started after the first three tasks are completed. Therefore, the critical path is determined to be the longest-running path, C→D, among A→D, B→D, and C→D. Based on critical path analysis, the system adopts a confidence interval upper limit of 60 minutes for task C on the path and an upper limit of 25 minutes for task D. At the same time, a 15-minute buffer time is configured for the entire critical path (calculated based on the confidence interval widths of tasks C and D). The final estimated total time is 100 minutes (60+25+15). This result significantly improves the reliability of detection and risk response capability compared to the original baseline estimate of 85 minutes.

[0068] In a preferred embodiment of the present invention, before obtaining the updated data for the foam extinguishing agent used for subsequent parameter testing, the method further includes: removing foam extinguishing agents with unqualified test parameters from the foam extinguishing agents used for subsequent parameter testing.

[0069] Specifically, before planning subsequent testing sequences based on newly measured first parameter data, it is necessary to perform a crucial data cleaning and screening step: removing foam extinguishing agents that show non-compliance in the measured parameters from the testing queue. For example, comparing measured parameters (such as foaming ratio, 25% separation time) with standards. If a sample's parameters are severely non-compliant (e.g., foaming ratio far below the set standard value), it is determined that the sample has no value for further testing. This step is a prerequisite for data updates, ensuring that any subsequent allocation of testing resources, timing optimization, and decision analysis based on the updated data are only based on qualified samples with continuing testing value. Its core purpose is to avoid wasting valuable testing time, manpower, and material resources on samples that have been confirmed to be substandard, and to provide high-quality data for subsequent intelligent scheduling algorithms.

[0070] like Figure 4As shown, in another preferred embodiment of the present invention, a foam extinguishing agent performance testing system includes: a first acquisition module 100, configured to: acquire a first measurement parameter determined based on the foam extinguishing agent within a first detection area; a relationship determination module 200, configured to: determine the relationship between the foam extinguishing agent and the measurement condition data based on the measurement process of the first measurement parameter and the transfer and distribution data of the foam extinguishing agent, wherein the transfer and distribution data is used to characterize the transfer data of the foam extinguishing agent based on the first detection area, and the measurement condition data is used to characterize the target detection conditions of the foam extinguishing agent after the first measurement parameter; a condition acquisition module 300, configured to: acquire a second measurement parameter of the corresponding foam extinguishing agent within the first detection area based on the relationship between the foam extinguishing agent and the measurement condition data; and a detection sequence determination module 400, configured to: determine a detection sequence of the foam extinguishing agent for subsequent detection of parameters to be tested based on the measurement parameters, updated data of the foam extinguishing agent, and the remaining detection area, wherein the measurement parameters include the first measurement parameter and the second measurement parameter.

[0071] It should be noted that, referring to the specific implementation description of a foam fire extinguishing agent performance testing method in the foregoing embodiments, the implementation method of this system is completely consistent with that method, and will not be described again here.

[0072] The present invention provides a method for testing the performance of foam fire extinguishing agents in the above embodiments, and a system for testing the performance of foam fire extinguishing agents based on this method. The system automatically acquires first measurement parameters such as the expansion ratio through standardized testing combined with machine vision technology, establishing a reliable data foundation for subsequent testing. It establishes a correspondence between data on foam reaching a stable state, transfer and distribution, and measurement condition data. The system verifies the conformity of the measurement condition data through motion capture and image analysis, achieving automated conversion from operational specifications to testing conditions, significantly improving the standardization of the testing process. Based on the determined measurement condition data, a precision sensor continuously monitors the foam state evolution process, automatically recording key time points when a preset threshold is reached, ensuring the accuracy and repeatability of the second measurement parameter measurement. A hierarchically optimized testing sequence is constructed through a dynamic prediction model and intelligent sorting algorithm. By employing strategies such as "emergency priority + duration optimization" to construct the testing sequence, the system maximizes the utilization of testing resources while ensuring timely processing of critical tasks, improving testing efficiency and achieving highly efficient use of testing resources.

[0073] In order for the above methods and systems to operate smoothly, the system may include more or fewer components than those described above, or combine certain components, or different components, in addition to the various modules mentioned above. For example, it may include input / output devices, network access devices, buses, processors, and memory.

[0074] The processor referred to can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. This processor is the control center of the system, connecting various parts via various interfaces and lines.

[0075] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0076] The embodiments described above are merely illustrative of several implementations of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these modifications and improvements all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

[0077] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for detecting the performance of a foam extinguishing agent, characterized in that The method comprises: acquiring a first determination parameter of the foam extinguishing agent in the first detection area; determining a relationship between the foam extinguishing agent and determination condition data according to a determination process of the first determination parameter and transfer allocation data of the foam extinguishing agent, wherein the transfer allocation data is used to represent transfer data of the foam extinguishing agent based on the first detection area, and the determination condition data is used to represent target detection conditions of the foam extinguishing agent after the first determination parameter; acquiring a second determination parameter of the foam extinguishing agent in the first detection area according to the relationship between the foam extinguishing agent and the determination condition data; the determination parameters comprise the first determination parameter and the second determination parameter, and a detection sequence of the foam extinguishing agent for subsequent determination of the to-be-determined parameters is determined according to the determination parameters, updated data of the foam extinguishing agent and remaining detection areas, comprising: updating the quantity and / or type of the foam extinguishing agent for subsequent determination of the to-be-determined parameters to obtain the updated data, and predicting an estimated time length required for the foam extinguishing agent in the updated data to complete the subsequent determination of the to-be-determined parameters, comprising: acquiring at least one of real-time information of newly arrived samples, samples that have completed stage detection and retest samples, and dynamically maintaining a to-be-detected sample library; the updating process adopts an incremental data processing mechanism, and when new extinguishing agent samples are added, the basic attributes of type, concentration and production batch are automatically supplemented; when a sample completes a certain stage of detection, the detection state thereof is updated synchronously; the time stamp version management is used to ensure data consistency, and finally a standardized data set containing a complete to-be-detected sample list and a current detection state thereof is formed; by using the standardized data set of the updated samples, a pre-trained time sequence prediction model is called to perform time length prediction, the model takes a sample feature vector as input, analyzes the correlation between parameters through an attention mechanism, and outputs a time length interval prediction of each sample to complete the remaining detection items; finally, an estimated time length matrix with a confidence interval is generated; the sample feature vector comprises measured parameter values and sample physicochemical properties; based on the priority detection requirement of the foam extinguishing agent in the updated data, it is judged whether the remaining detection areas meet the detection requirements of the foam extinguishing agent with the priority detection requirement; if yes, the foam extinguishing agent without the priority detection requirement is classified based on the foam extinguishing agent with the priority detection requirement to obtain foam extinguishing agents of the same type, comprising classifying the remaining ordinary samples other than the priority samples according to their chemical property similarity, detection item coincidence degree and physical parameter matching degree to form several same type groups; a first detection sequence is generated according to the foam extinguishing agent with the priority detection requirement and the foam extinguishing agents of the same type, and the priority in the first detection sequence from high to low is: the foam extinguishing agent with the priority detection requirement, the foam extinguishing agent of the same type and the foam extinguishing agent with a short to long estimated time length.

2. The method of claim 1, wherein The method comprises: reading a state parameter of a first instrument, and determining a detection position of the first instrument according to the state parameter; monitoring the state of the foam extinguishing agent based on the detection position, when a state change stable image is captured in the first detection area according to a standard state image of the foam extinguishing agent, it is determined that the foam extinguishing agent is in a stable state after an initial state change, and a transfer operation of the foam extinguishing agent in the stable state is performed; based on the state change stable image, a second instrument in contact with the foam extinguishing agent is located, the relationship between the liquid level profile of the foam extinguishing agent and the loading boundary of the second instrument is determined, and the first measurement parameter is determined according to the relationship between the liquid level profile and the loading boundary.

3. The method of claim 2, wherein the foam extinguishing agent performance is detected by, The second instrument in contact with the foam extinguishing agent is located based on the state change stable image, the relationship between the liquid level profile of the foam extinguishing agent and the loading boundary of the second instrument is determined, and the first measurement parameter is determined according to the relationship between the liquid level profile and the loading boundary. In the set range of the first instrument, the instrument to be determined in contact with the foam extinguishing agent is detected based on the state change stable image, and a local image including the instrument to be determined is obtained; based on the local image, binary processing and edge detection are performed, and when the instrument to be determined in contact with the foam extinguishing agent includes a second instrument is detected according to an edge detection operator, the relationship between the highest liquid level of the foam extinguishing agent and the loading boundary of the second instrument is determined according to the liquid level identification direction of the second instrument; when the highest liquid level of the foam extinguishing agent is detected to be a horizontal liquid level in the liquid level identification direction and no longer changes within a set time length, the first measurement parameter is determined according to a display parameter related to the second instrument.

4. The method of claim 2 or 3, wherein The determination process according to the first measurement parameter and the transfer allocation data of the foam extinguishing agent determines the relationship between the foam extinguishing agent and the measurement condition data, which includes: when the foam extinguishing agent is in a stable state after an initial state change, the action information of the operation target is obtained, and the injection position of the foam extinguishing agent is determined according to the action information, wherein the action information meeting the set posture is used to indicate the injection position; the target application is located according to the injection position, the injection state of the foam extinguishing agent is determined based on the associated state image of the target application, and the associated state image is a state display image directly associated with the target application; after confirming the injection state, it is judged whether the target application meets the set coverage contact condition according to the associated state image, and the measurement condition data includes the set coverage contact condition.

5. The method of claim 4, wherein the foam extinguishing agent performance is detected by, The second measurement parameter of the corresponding foam extinguishing agent in the first detection area is obtained according to the relationship between the foam extinguishing agent and the measurement condition data, which includes: when it is determined that the target application meets the set coverage contact condition according to the associated state image, the first timing data is started to be read, and the state recovery amount after the injection of the foam extinguishing agent or the state damage data of the foam extinguishing agent determined based on the target application is read; the state recovery amount is the quality data of the precipitated liquid; when the state recovery amount meets the quality set condition, or the state damage data meets the damage set condition, the second timing data is read; the second measurement parameter is determined according to the second timing data and the first timing data.

6. The method of claim 1, wherein It also includes: When the remaining detection zones do not meet the detection requirement of the foam extinguishing agent with the priority detection requirement, it is determined that the detection resource is insufficient, a second detection sequence is generated, and the priority of the second detection sequence from high to low is: the foam extinguishing agent with the priority detection requirement, and the foam extinguishing agent with the estimated time length from short to long.

7. The method of claim 6, wherein the foam extinguishing agent performance is detected by, The method further comprises, before the updating the data of the foam extinguishing agent for subsequent detection of the to-be-detected parameter, the following steps: The foam extinguishing agent with the unqualified measurement parameter is removed from the foam extinguishing agents for subsequent detection of the to-be-detected parameter.

8. A system for detecting the properties of a foam extinguishing agent, characterized in that The method for detecting the performance of the foam extinguishing agent according to any one of claims 1-7 comprises the following steps: The first obtaining module is configured to obtain a first measurement parameter of the foam extinguishing agent in a first detection zone; The relationship determining module is configured to determine a relationship between the foam extinguishing agent and measurement condition data according to a measurement process of the first measurement parameter and transfer allocation data of the foam extinguishing agent, wherein the transfer allocation data is used to represent transfer data of the foam extinguishing agent based on the first detection zone, and the measurement condition data is used to represent target detection conditions of the foam extinguishing agent after the first measurement parameter; The condition obtaining module is configured to obtain a second measurement parameter of the corresponding foam extinguishing agent in the first detection zone according to the relationship between the foam extinguishing agent and the measurement condition data; The detection sequence determining module is configured to determine a detection sequence of the foam extinguishing agent for subsequent detection of the to-be-detected parameter according to the measurement parameter, the updated data of the foam extinguishing agent, and the remaining detection zones, wherein the measurement parameter comprises the first measurement parameter and the second measurement parameter.

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