An animal dissection process environment safety monitoring system based on multi-sensor fusion

Abstract

This invention discloses an environmental safety monitoring system for animal dissection processes based on multi-sensor fusion, belonging to the field of environmental monitoring technology. It addresses the problem of accurately distinguishing pollution sources and their release states. By constructing airflow monitoring periods during the operation of the suction equipment, and dividing these periods into intervals based on suction adjustment status and suction volume data, the system acquires the airflow direction in the dissection work area under unified control. Based on airflow convergence characteristics and airflow direction deviation, it identifies effective airflow guidance intervals. Under airflow-dominant conditions, it collects organic gas voltage signals and constructs a gas enrichment index. Simultaneously, it calculates the pollution release potential by combining visually acquired dissection wound data. By fusing the gas enrichment index and pollution release potential, it generates a pollution release judgment index, enabling the differentiation and judgment of pollution sources and release states, and outputting environmental safety alerts, thereby improving the interpretability and accuracy of environmental monitoring results.

Description

Technical Field

[0001] This invention relates to the field of environmental monitoring technology, and more specifically, to an environmental safety monitoring system for animal dissection processes based on multi-sensor fusion. Background Technology

[0002] During animal dissection, various volatile organic compounds and potential biological pollutants are continuously released due to tissue cutting, exposure of body fluids, and organ handling. To reduce the risk of pollution in the working environment, existing technologies usually rely on suction equipment to perform negative pressure suction of the dissection area, while gas detection devices are used to monitor air quality. In addition, some systems use fixed airflow channels or single-point gas sampling methods to make a rough assessment of the pollution diffusion in the dissection area.

[0003] The existing technology has the following shortcomings:

[0004] Currently, existing technologies struggle to analyze the time-series changes in airflow in the dissection work area under dynamic control of suction equipment and identify effective airflow guidance intervals. They also lack a collaborative analysis mechanism that correlates airflow convergence characteristics with the release behavior of contaminants from dissection wounds, resulting in an inability to accurately distinguish contaminant sources and their release states, and insufficient accuracy in environmental safety assessment results. Therefore, this paper proposes an environmental safety monitoring system for animal dissection processes based on multi-sensor fusion.

[0005] The information disclosed in the background section is only intended to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] To overcome the aforementioned deficiencies of the prior art, embodiments of the present invention provide an environmental safety monitoring system for animal anatomy based on multi-sensor fusion. This system addresses the problems mentioned in the background art by employing an adaptive division mechanism for airflow monitoring time periods based on suction control status and suction volume data, an effective airflow guidance interval marking mechanism based on airflow direction and airflow convergence characteristics, and a pollution release determination mechanism that integrates organic gas voltage signals and anatomical wound data.

[0007] To achieve the above objectives, the present invention provides the following technical solution: an environmental safety monitoring system for animal dissection based on multi-sensor fusion, comprising an equipment control module, an airflow segmentation module, an airflow marking module, and a pollution determination module, the functions of which are as follows:

[0008] The equipment control module is used to set the airflow monitoring period when the suction equipment is suctioning the dissection work area. During the airflow monitoring period, it retrieves the control command information of the suction equipment and identifies the suction adjustment status, collects the suction air volume data of the suction equipment, and transmits the suction air volume data and suction adjustment status to the airflow segmentation module.

[0009] The airflow segmentation module is used to divide the airflow monitoring period into monitoring intervals by integrating the suction volume data and the suction adjustment status. Within the monitoring interval, it calls the airflow detection points in the dissection work area and obtains the airflow direction, which is then transmitted to the airflow marking module.

[0010] The airflow marking module is used to receive the airflow direction and evaluate the airflow convergence characteristics of the dissection work area, access the work configuration table to obtain the airflow reference direction, and determine whether to mark the monitoring section based on the airflow convergence characteristics. The module also collects the organic gas voltage signal of the dissection work area within the marked monitoring section and transmits it to the pollution judgment module.

[0011] The pollution assessment module generates a gas enrichment index based on organic gas voltage signals, identifies anatomical wound data in the dissection work area, classifies the pollution release status of the dissection work area based on the gas enrichment index, and generates environmental safety alerts.

[0012] In a preferred embodiment, in the equipment control module, when the suction device suctions the dissection work area, an airflow monitoring period is set and multiple monitoring times are divided.

[0013] During the airflow monitoring period, the control command information of the suction equipment is retrieved through the equipment control interface, including the adjustment gear command, which is represented by an ordered gear value.

[0014] In a preferred embodiment, the control module iterates through the control commands within the airflow monitoring period in chronological order and compares the control commands at adjacent sampling times.

[0015] If the adjustment gear command corresponding to the current monitoring time is greater than the adjustment gear command corresponding to the previous monitoring time, the suction adjustment state corresponding to each monitoring time within the current monitoring time and the preset response time range thereafter will be identified as the suction enhancement state.

[0016] If the adjustment gear command corresponding to the current monitoring time is less than the adjustment gear command corresponding to the previous monitoring time, the suction adjustment status corresponding to each monitoring time within the current monitoring time and the preset response time range thereafter will be identified as a suction weakening state.

[0017] If the adjustment gear command corresponding to the current monitoring time is equal to the adjustment gear command corresponding to the previous monitoring time, the suction adjustment state corresponding to the current monitoring time is identified as a stable suction state.

[0018] At each monitoring time, the suction air volume data is read from the air volume detection interface of the suction equipment.

[0019] In a preferred embodiment, the airflow segmentation module performs a joint determination of the suction air volume data and suction adjustment status at each monitoring moment within the airflow monitoring period.

[0020] If the suction air volume data at the current monitoring time is greater than the suction air volume data at the previous monitoring time, and the suction adjustment state corresponding to the current monitoring time is the suction enhancement state, then the current monitoring time is marked as the enhancement control time.

[0021] If the suction air volume data at the current monitoring time is less than the suction air volume data at the previous monitoring time, and the suction adjustment state corresponding to the current monitoring time is the suction weakening state, then the current monitoring time will be marked as the weakening control time.

[0022] If the absolute value of the difference between the suction air volume data at the current monitoring time and the suction air volume data at the previous monitoring time is less than the preset air volume fluctuation threshold, and the suction adjustment state corresponding to the current monitoring time is a stable suction state, then the current monitoring time is marked as a stable control time.

[0023] The remaining monitoring times that do not meet the judgment criteria are marked as control deviation times;

[0024] The monitoring times of adjacent similar marker results are combined to form corresponding monitoring intervals.

[0025] In a preferred embodiment, within the airflow segmentation module, each airflow detection point deployed in the dissection work area is invoked within the monitoring interval, and the wind direction angle value output by each airflow detection point at each monitoring time is read through the wind direction sensor.

[0026] In a preferred embodiment, the airflow direction at each airflow detection point is converted into a unit vector in the airflow marking module to construct an airflow direction vector;

[0027] Within the same monitoring interval, the airflow direction vectors of all airflow detection points at each monitoring time are superimposed and averaged to obtain the average airflow direction vector of the monitoring interval;

[0028] Calculate the magnitude of the average airflow direction vector to obtain the airflow convergence characteristics;

[0029] Access the operation configuration table to obtain the airflow reference direction. The operation configuration table is a structured data set used to store environmental control parameters and equipment layout information of the dissection operation area.

[0030] The airflow reference direction is a reference direction that is pre-set according to the installation direction of the suction equipment;

[0031] The average airflow direction vector is converted into the average airflow direction angle, and the deviation angle between the average airflow direction angle and the airflow reference direction is calculated to obtain the airflow direction deviation.

[0032] In a preferred embodiment, in the airflow marking module, an airflow convergence threshold and a direction deviation threshold are set. If the airflow convergence characteristic is greater than or equal to the airflow convergence threshold and the airflow direction deviation is less than or equal to the direction deviation threshold, then the monitoring interval is marked as an effective airflow guidance interval.

[0033] Otherwise, the monitoring interval will be marked as an area of ​​abnormal airflow disturbance;

[0034] Organic gas voltage signal acquisition and processing are performed only on the monitoring intervals marked as the effective airflow guidance intervals:

[0035] Organic gas sensors were installed in the dissection work area to collect corresponding organic gas voltage signals at each monitoring time. The organic gas voltage signals represent the concentration level of volatile organic compounds in the air.

[0036] The organic gas voltage signal within the monitoring range is normalized using the Max-min normalization method, and the normalized organic gas voltage signal is then transmitted to the pollution determination module.

[0037] In a preferred embodiment, in the pollution determination module, within the current monitoring interval, the normalized organic gas voltage signal corresponding to each monitoring time is subjected to time averaging to obtain the average voltage level.

[0038] Calculate the time gradient of the organic gas voltage signal and construct the voltage change rate;

[0039] Based on the average voltage level and voltage change rate, a gas enrichment index is constructed:

[0040] ;

[0041] in, The gas enrichment index. The average voltage level, The rate of change of voltage. and These are preset weighting coefficients;

[0042] After generating the gas enrichment index, the anatomical wound data in the dissection work area is identified and processed. The anatomical wound data includes the anatomical wound area and the anatomical wound opening status value.

[0043] The anatomical wound area represents the surface area of ​​currently exposed biological tissue. The anatomical wound opening status value is a binary classification value, including 1 and 0.

[0044] In a preferred embodiment, in the contamination determination module, the area of ​​the anatomical wound is multiplied by the anatomical wound opening state value to obtain the contamination release potential.

[0045] Based on the gas enrichment index and pollution release potential, a pollution release determination factor is constructed.

[0046] If the pollution release determination factor is less than the preset pollution state classification threshold, the pollution release state is determined to be a low pollution state.

[0047] Conversely, if the pollution release status is not specified, the pollution release status is determined to be a high pollution status.

[0048] Environmental safety alerts are structured output data generated based on the calculation results of pollution release determination factors, including safety alerts and risk alerts;

[0049] When the pollution release status is determined to be low pollution status, a safety prompt is generated. The safety prompt is used to indicate that the current operating status of the suction equipment should be maintained to avoid redundant adjustment operations.

[0050] When the pollution release status is determined to be high pollution, a risk warning is generated. The risk warning is used to indicate the intervention measures that need to be taken, including increasing the suction intensity of the suction equipment or suspending the dissection operation.

[0051] The technical effects and advantages of this invention are as follows:

[0052] This invention establishes an airflow monitoring period during the operation of the suction equipment, divides the monitoring period into intervals by combining the suction adjustment status and suction volume data, obtains the airflow direction of the dissection work area under unified control conditions, and identifies the effective airflow guidance interval based on airflow convergence characteristics and airflow direction deviation. Under airflow-dominant conditions, it collects organic gas voltage signals and constructs a gas enrichment index, and calculates the pollution release potential by combining visually acquired dissection wound data. By fusing the gas enrichment index and pollution release potential, a pollution release judgment index is generated, enabling the differentiation and judgment of pollution sources and release states, and outputting environmental safety warning information, thereby improving the interpretability and accuracy of environmental monitoring results. Attached Figure Description

[0053] Figure 1 This is a flowchart illustrating the implementation of an environmental safety monitoring system for animal dissection based on multi-sensor fusion, as described in this invention.

[0054] Figure 2 This is a schematic diagram of a module of an environmental safety monitoring system for animal dissection based on multi-sensor fusion according to the present invention. Detailed Implementation

[0055] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0056] This invention establishes an airflow monitoring period during the operation of the suction equipment, divides the monitoring period into intervals by combining the suction adjustment status and suction volume data, obtains the airflow direction of the dissection work area under unified control conditions, and identifies the effective airflow guidance interval based on airflow convergence characteristics and airflow direction deviation. Under airflow-dominant conditions, it collects organic gas voltage signals and constructs a gas enrichment index, and calculates the pollution release potential by combining visually acquired dissection wound data. By fusing the gas enrichment index and pollution release potential, a pollution release determination index is generated, enabling the differentiation and determination of pollution sources and release states.

[0057] Example 1, such as Figures 1 to 2 As shown, an environmental safety monitoring system for animal dissection based on multi-sensor fusion includes an equipment control module, an airflow segmentation module, an airflow marking module, and a pollution determination module. The functions of each module are as follows:

[0058] The equipment control module is used to set the airflow monitoring period when the suction equipment is suctioning the dissection work area. During the airflow monitoring period, it retrieves the control command information of the suction equipment and identifies the suction adjustment status, collects the suction air volume data of the suction equipment, and transmits the suction air volume data and suction adjustment status to the airflow segmentation module.

[0059] The airflow segmentation module is used to divide the airflow monitoring period into monitoring intervals by integrating the suction volume data and the suction adjustment status. Within the monitoring interval, it calls the airflow detection points in the dissection work area and obtains the airflow direction, which is then transmitted to the airflow marking module.

[0060] The airflow marking module is used to receive the airflow direction and evaluate the airflow convergence characteristics of the dissection work area, access the work configuration table to obtain the airflow reference direction, and determine whether to mark the monitoring section based on the airflow convergence characteristics. The module also collects the organic gas voltage signal of the dissection work area within the marked monitoring section and transmits it to the pollution judgment module.

[0061] The pollution assessment module generates a gas enrichment index based on organic gas voltage signals, identifies anatomical wound data in the dissection work area, classifies the pollution release status of the dissection work area based on the gas enrichment index, and generates environmental safety alerts.

[0062] The specific implementation is as follows:

[0063] In the equipment control module, when the suction equipment suctions the dissection work area, the airflow monitoring period is set and multiple monitoring times are divided. The airflow monitoring period is used to record the change process of the control behavior of the suction equipment throughout the entire dissection operation.

[0064] It should be explained that the dissection work area refers to the limited operating space used for sample dissection and processing, which is used to hold the dissected object and form a controlled airflow environment, such as the area where the laboratory dissection work table is located; the suction equipment is a ventilation and exhaust device used to directionally extract air from the dissection work area and form a local negative pressure environment. By adjusting the suction air volume, the airflow organization structure in the dissection work area is changed, thereby affecting the diffusion path of particulate matter or volatile substances in the air. A laboratory local exhaust system with a matching variable frequency fan can be selected.

[0065] During the airflow monitoring period, the control command information of the suction equipment is retrieved through the equipment control interface. The control command information reflects the current operating intensity settings of the suction equipment, including the adjustment gear command. The adjustment gear command is represented by an ordered gear value. The higher the value, the higher the suction intensity of the suction equipment.

[0066] The adjustment level command is used to instruct the suction device to switch between multiple suction intensity levels.

[0067] The control commands within the airflow monitoring period are traversed in chronological order, and the control commands at adjacent sampling times are compared:

[0068] If the adjustment gear command corresponding to the current monitoring time is greater than the adjustment gear command corresponding to the previous monitoring time, the suction adjustment state corresponding to each monitoring time within the current monitoring time and the preset response time range thereafter will be identified as the suction enhancement state.

[0069] If the adjustment gear command corresponding to the current monitoring time is less than the adjustment gear command corresponding to the previous monitoring time, the suction adjustment state corresponding to each monitoring time within the current monitoring time and the preset response time range thereafter will be identified as a suction weakening state.

[0070] If the adjustment gear command corresponding to the current monitoring time is equal to the adjustment gear command corresponding to the previous monitoring time, the suction adjustment state corresponding to the current monitoring time is identified as a stable suction state.

[0071] It should be explained that when the conditions for determining a stable suction state and a suction enhancement state or a suction weakening state are met simultaneously at the same monitoring time, the suction enhancement state or the suction weakening state is the priority identification result, while the stable suction state is a low priority state and is only identified when the enhancement or weakening state is not triggered.

[0072] The suction regulation status reflects the change process of the suction equipment's control behavior during the airflow monitoring period;

[0073] At each monitoring moment, the suction air volume data is read from the air volume detection interface of the suction equipment. The suction air volume data is the volumetric flow rate of air actually extracted by the suction equipment per unit time at the current monitoring moment.

[0074] It should be noted that the equipment control interface is a communication interface used to read the control commands recorded in the control unit of the suction equipment; the airflow monitoring period can be set according to the duration of the dissection operation or the system's preset monitoring cycle; the preset response time is used to cover the actual response process of the suction equipment after the adjustment command changes, and can be set according to the airflow stabilization time of the suction equipment; the airflow detection interface is a data acquisition interface for reading the output data of the airflow detection unit of the suction equipment.

[0075] In the airflow segmentation module, the suction volume data and suction adjustment status corresponding to each monitoring moment within the airflow monitoring period are read in chronological order.

[0076] If the suction air volume data at the current monitoring time is greater than the suction air volume data at the previous monitoring time, and the suction adjustment state corresponding to the current monitoring time is the suction enhancement state, then the current monitoring time is marked as the enhancement control time.

[0077] If the suction air volume data at the current monitoring time is less than the suction air volume data at the previous monitoring time, and the suction adjustment state corresponding to the current monitoring time is the suction weakening state, then the current monitoring time will be marked as the weakening control time.

[0078] If the absolute value of the difference between the suction air volume data at the current monitoring time and the suction air volume data at the previous monitoring time is less than the preset air volume fluctuation threshold, and the suction adjustment state corresponding to the current monitoring time is a stable suction state, then the current monitoring time is marked as a stable control time.

[0079] The remaining monitoring times that do not meet the above conditions are marked as control deviation times;

[0080] The monitoring times of adjacent similar marker results are combined to form corresponding monitoring intervals;

[0081] The consistent control response of the suction equipment within the same monitoring range provides a time-aligned basis for subsequent analysis of airflow direction and gas changes under unified control conditions, and supports the subsequent determination of pollution sources.

[0082] Within the monitoring range, each airflow detection point deployed in the dissection work area is invoked. The wind direction angle value output by each airflow detection point at each monitoring time is read through the wind direction sensor. The wind direction angle value is the direction output by the airflow detection point, which is used to represent the angle between the airflow direction at the location of the corresponding airflow detection point and the preset reference direction.

[0083] It should be explained that the location of the airflow detection points can be arranged according to the spatial range of the dissection work area, such as the preset positions on the front, back, left and right sides of the dissection table, and the height of each airflow detection point should be kept consistent to ensure that the main airflow path around the dissection work area can be covered; the preset reference direction can be set according to the structural orientation of the dissection work area or the installation direction of the suction equipment, for example, the direction in which the suction port points can be used as the preset reference direction.

[0084] The wind direction angle value corresponding to each airflow detection point within the monitoring interval is used as the airflow direction to reflect the spatial distribution of airflow direction in the dissection work area within the current monitoring interval.

[0085] The airflow direction is transmitted to the airflow marking module.

[0086] It should be noted that the preset airflow fluctuation threshold can be set based on the historical airflow fluctuation range of the suction equipment under stable operating conditions. The wind direction sensor is a measuring device used to detect the direction of airflow; an ultrasonic wind direction sensor can be selected, and its output is the wind direction angle value at the corresponding moment.

[0087] In the airflow marking module, after receiving the airflow direction corresponding to each monitoring interval from the airflow segmentation module, the airflow convergence characteristics in the current monitoring interval are first quantitatively evaluated.

[0088] Specifically, the airflow direction at each airflow detection point is transformed into a unit vector to construct an airflow direction vector:

[0089] ;

[0090] in, The direction vector of the airflow. The direction of airflow. This is the index value of the airflow detection point. This is the index value for the monitoring time.

[0091] Within the same monitoring interval, the average airflow direction vector of all airflow detection points at each monitoring time is obtained by superimposing and averaging the vectors.

[0092] ;

[0093] in, This is the average airflow direction vector. This represents the total number of airflow direction vectors. This represents the total number of airflow detection points. This represents the number of monitoring times within the monitoring interval.

[0094] The magnitude of the average airflow direction vector is further calculated to obtain the airflow convergence feature. The airflow convergence feature characterizes the consistency of the airflow direction, and its value ranges from [0,1]. The larger the value, the more concentrated the airflow direction at each airflow detection point is, and the more obvious the airflow convergence feature is. The smaller the value, the higher the degree of dispersion of the airflow direction.

[0095] Based on the obtained airflow convergence characteristics, the airflow reference direction is obtained by accessing the operation configuration table. The airflow reference direction is a reference direction that is set in advance according to the installation direction of the suction equipment, and is used to characterize the direction in which the airflow should converge under ideal conditions.

[0096] It should be noted that the operation configuration table is a structured data set used to store environmental control parameters and equipment layout information for the dissection operation area.

[0097] The average airflow direction vector is converted into an average airflow direction angle, and the deviation angle between the average airflow direction angle and the airflow reference direction is calculated to obtain the airflow direction deviation. The airflow direction deviation characterizes the degree of deviation of the actual airflow direction from the ideal airflow organization direction. The smaller the value, the more the airflow conforms to the expected suction direction; the larger the value, the more significant the deviation or disturbance in the airflow.

[0098] Based on the characteristics of airflow convergence and the amount of airflow direction deviation, an airflow convergence threshold and a direction deviation threshold are set. The airflow convergence threshold is derived from the lower limit of the average statistical results of airflow direction consistency under historical stable suction conditions, and the direction deviation threshold is derived from the upper limit statistical value of the airflow direction fluctuation range under stable airflow organization conditions.

[0099] If the airflow convergence characteristic is greater than or equal to the airflow convergence threshold and the airflow direction deviation is less than or equal to the direction deviation threshold, then the airflow in the monitoring interval is determined to be in a stable convergence state, and the monitoring interval is marked as an effective airflow guidance interval.

[0100] Otherwise, mark the monitoring interval as an area of ​​abnormal airflow disturbance.

[0101] The effective airflow guidance range reflects the significant dominant role of the suction equipment in the airflow, and its numerical characteristics are that the airflow direction is concentrated and points towards the suction direction; the abnormal airflow disturbance range reflects the existence of airflow disturbances caused by non-equipment factors, and its numerical characteristics are that the airflow direction is dispersed or deviates from the reference direction.

[0102] After marking the monitoring intervals, organic gas voltage signal acquisition and processing are performed only on the monitoring intervals marked as effective airflow guidance intervals. Specifically, organic gas sensors are deployed in the dissection operation area, and corresponding organic gas voltage signals are collected at each monitoring time. The organic gas voltage signal characterizes the concentration level of volatile organic compounds in the air; the higher the value, the higher the concentration of organic pollutants in the air.

[0103] The Max-min normalization method was used to normalize the organic gas voltage signals within the monitoring range. The normalized organic gas voltage signals were then input into the pollution determination module for subsequent gas enrichment index calculation and pollution release status identification. This processing enables the screening and extraction of pollutant changes under airflow-dominant conditions, thus providing a data foundation for distinguishing between pollution source release behavior and equipment control behavior.

[0104] It should be noted that the organic gas sensor is an electrochemical detection device used to detect the concentration of volatile organic compounds in the air of the dissection work area; the Max-min normalization method is a data preprocessing method used to eliminate the influence of dimensions and unify the data scale. It achieves comparability between different data by linearly mapping the original data to the [0,1] interval.

[0105] In the pollution determination module, after receiving the normalized organic gas voltage signal from the airflow marking module, a voltage signal sequence is constructed, and a gas enrichment index is generated based on the voltage signal sequence.

[0106] Specifically, within the current monitoring interval, the normalized organic gas voltage signal corresponding to each monitoring time is subjected to time averaging to obtain the average voltage level:

[0107] ;

[0108] in, The average voltage level, To monitor the total number of time points, To monitor the time index value, This is the normalized organic gas voltage signal.

[0109] The average voltage level characterizes the overall organic gas concentration level within the current monitoring range. The higher the value, the higher the average concentration of volatile organic compounds within that range.

[0110] Further calculations were performed on the time gradient of the organic gas voltage signal to construct the voltage change rate:

[0111] ;

[0112] in, The rate of change of voltage. To monitor the total number of time points, To monitor the time index value, and All are normalized organic gas voltage signals.

[0113] The rate of change of voltage characterizes the trend of organic gas concentration over time. A value greater than zero indicates that the gas concentration is generally increasing, while a value less than zero indicates that the gas concentration is generally decreasing. The larger the absolute value, the more drastic the change.

[0114] Based on the average voltage level and voltage change rate, a gas enrichment index is constructed, and its calculation formula is as follows:

[0115] ;

[0116] in, The gas enrichment index. The average voltage level, The rate of change of voltage. and The weighting coefficients are derived from the regression analysis results of the influence of different factors on the degree of pollution in historical calibration data, and are used to balance the influence of concentration level and trend on the degree of gas enrichment. This indicates that only the maximum voltage change rate greater than 0, i.e. the concentration increase trend, is included in the calculation to highlight the enrichment characteristics during the pollution release process.

[0117] The gas enrichment index is a dimensionless quantity. The larger the value, the higher the concentration of organic gases in the current monitoring range and the upward trend, indicating a more significant degree of gas enrichment.

[0118] After generating the gas enrichment index, the anatomical wound data in the dissection work area is identified and processed. The anatomical wound data includes the anatomical wound area and the anatomical wound open status value. The anatomical wound area is obtained from the visual acquisition device set up in the dissection work area. The exposed anatomical wound area within the current monitoring range is extracted through image segmentation, and the area of ​​the anatomical wound area is identified to obtain the anatomical wound area. The anatomical wound area represents the surface area of ​​the currently exposed biological tissue. The larger the value, the larger the potential pollution source release interface.

[0119] It should be noted that the visual acquisition device is a combined system of imaging equipment and its supporting processing unit used to acquire anatomical wound image information in the anatomical work area and output quantifiable image data.

[0120] Simultaneously, the anatomical wound opening status value is extracted. The anatomical wound opening status value is a binary classification value, including 1 and 0. 1 indicates that the anatomical wound is in an open state, and 0 indicates that the anatomical wound is in a closed or unoperated state.

[0121] Multiplying the area of ​​the anatomical wound by the value of the anatomical wound opening state yields the pollution release potential. The pollution release potential is used to characterize the potential contribution of the current anatomical operation to the release of pollutants. The larger the value, the stronger the release capacity of the pollution source. A value of zero indicates that there is no effective pollution release source at present.

[0122] After obtaining the gas enrichment index and pollution release potential, a pollution release determination factor is constructed, and its calculation formula is as follows:

[0123] ;

[0124] in, As a factor for determining pollution release, The gas enrichment index. To unleash the potential of pollution The preset adjustment coefficient is used to adjust the influence weight of pollution source factors on the overall pollution determination, and it is derived from experimental calibration data; The preset reference wound area is derived from the statistical average of typical wound areas under standard operating conditions and is used to normalize the potential for contamination release.

[0125] The pollution release determination factor is used to comprehensively characterize the coupling relationship between changes in pollutant concentration in the environment and the release behavior of pollution sources. The larger the value, the higher the degree of environmental pollution and the more significant the contribution of pollution sources.

[0126] Based on the pollution release determination factors, a pollution state classification threshold is set, which is derived from the boundary statistical value between low pollution state and high pollution state in historical experimental data.

[0127] If the pollution release determination factor is less than the pollution state classification threshold, the pollution release state is determined to be a low pollution state, which indicates that the concentration of organic gases in the environment is low and there is no significant pollution release behavior.

[0128] If the pollution release determination factor is greater than or equal to the pollution state classification threshold, the pollution release state is determined to be a high pollution state, which indicates that a large amount of pollutants are released and the gas is significantly enriched.

[0129] Environmental safety alerts are generated based on the pollution status classification results. These alerts are structured output data generated from the pollution release determination factor calculation results. They are used to characterize the current environmental safety status of the dissection work area and provide operational guidance, including safety tips and risk warnings.

[0130] When the pollution release status is determined to be low pollution, a safety prompt is generated. The safety prompt is used to indicate that the current operating status of the suction equipment should be maintained without additional intervention, thus avoiding redundant adjustment operations.

[0131] When the pollution release status is determined to be a high pollution status, a risk warning is generated. The risk warning is used to indicate the intervention measures that need to be taken, including increasing the suction intensity of the suction equipment or suspending the dissection operation. Intervention measures are triggered in a timely manner when pollution is significantly released, thereby reducing the risk of environmental exposure.

[0132] Environmental safety prompts are used to guide operators to take appropriate protective measures or adjust the operating status of suction equipment, thereby achieving dynamic monitoring and control of environmental safety in the dissection work area.

[0133] Finally, it should be noted that in this paper, relational terms such as first and second are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0134] Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes said element.

[0135] In this document, the singular forms “a,” “an,” and “the” may also include the plural forms unless the context clearly indicates otherwise. It should also be understood that terms such as “comprising / including” or “having” specify the presence of the stated features, integrals, steps, operations, components, parts, or combinations thereof, but do not preclude the possibility of the presence or addition of one or more other features, integrals, steps, operations, components, parts, or combinations thereof. Meanwhile, the term “and / or” as used in this specification includes any and all combinations of the associated listed items.

[0136] The various embodiments in this specification are described in a progressive manner. Each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can be referred to each other.

[0137] The above description of the disclosed embodiments will enable those skilled in the art to make or use various modifications to these embodiments. It will be readily apparent to those skilled in the art that the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of this application. Therefore, this application is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A multi-sensor fusion-based environmental safety monitoring system for animal dissection, characterized in that: It includes an equipment control module, an airflow segmentation module, an airflow marking module, and a pollution determination module. The functions of each module are as follows: The equipment control module is used to set the airflow monitoring period when the suction equipment is suctioning the dissection work area. During the airflow monitoring period, it retrieves the control command information of the suction equipment and identifies the suction adjustment status, collects the suction air volume data of the suction equipment, and transmits the suction air volume data and suction adjustment status to the airflow segmentation module. The airflow segmentation module is used to divide the airflow monitoring period into monitoring intervals by integrating the suction volume data and the suction adjustment status. Within the monitoring interval, it calls the airflow detection points in the dissection work area and obtains the airflow direction, which is then transmitted to the airflow marking module. The airflow marking module is used to receive the airflow direction and evaluate the airflow convergence characteristics of the dissection work area, access the work configuration table to obtain the airflow reference direction, and determine whether to mark the monitoring section based on the airflow convergence characteristics. The module also collects the organic gas voltage signal of the dissection work area within the marked monitoring section and transmits it to the pollution judgment module. The pollution assessment module generates a gas enrichment index based on organic gas voltage signals, identifies anatomical wound data in the dissection work area, classifies the pollution release status of the dissection work area based on the gas enrichment index, and generates environmental safety alerts.

2. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 1, characterized in that: In the equipment control module, when the suction equipment suctions the dissection work area, the airflow monitoring period is set and multiple monitoring times are divided. During the airflow monitoring period, the control command information of the suction equipment is retrieved through the equipment control interface, including the adjustment gear command, which is represented by an ordered gear value.

3. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 2, characterized in that: In the equipment control module, the control commands within the airflow monitoring period are traversed in chronological order, and the control commands at adjacent sampling times are compared: If the adjustment gear command corresponding to the current monitoring time is greater than the adjustment gear command corresponding to the previous monitoring time, the suction adjustment state corresponding to each monitoring time within the current monitoring time and the preset response time range thereafter will be identified as the suction enhancement state. If the adjustment gear command corresponding to the current monitoring time is less than the adjustment gear command corresponding to the previous monitoring time, the suction adjustment status corresponding to each monitoring time within the current monitoring time and the preset response time range thereafter will be identified as a suction weakening state. If the adjustment gear command corresponding to the current monitoring time is equal to the adjustment gear command corresponding to the previous monitoring time, the suction adjustment state corresponding to the current monitoring time is identified as a stable suction state. At each monitoring time, the suction air volume data is read from the air volume detection interface of the suction equipment.

4. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 3, characterized in that: In the airflow segmentation module, the suction air volume data and suction adjustment status at each monitoring moment within the airflow monitoring period are jointly determined. If the suction air volume data at the current monitoring time is greater than the suction air volume data at the previous monitoring time, and the suction adjustment state corresponding to the current monitoring time is the suction enhancement state, then the current monitoring time is marked as the enhancement control time. If the suction air volume data at the current monitoring time is less than the suction air volume data at the previous monitoring time, and the suction adjustment state corresponding to the current monitoring time is the suction weakening state, then the current monitoring time will be marked as the weakening control time. If the absolute value of the difference between the suction air volume data at the current monitoring time and the suction air volume data at the previous monitoring time is less than the preset air volume fluctuation threshold, and the suction adjustment state corresponding to the current monitoring time is a stable suction state, then the current monitoring time is marked as a stable control time. The remaining monitoring times that do not meet the judgment criteria are marked as control deviation times; The monitoring times of adjacent similar marker results are combined to form corresponding monitoring intervals.

5. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 1, characterized in that: In the airflow segmentation module, within the monitoring interval, each airflow detection point deployed in the dissection work area is invoked, and the wind direction angle value output by each airflow detection point at each monitoring time is read through the wind direction sensor.

6. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 5, characterized in that: In the airflow marking module, the airflow direction at each airflow detection point is converted into a unit vector to construct an airflow direction vector; Within the same monitoring interval, the airflow direction vectors of all airflow detection points at each monitoring time are superimposed and averaged to obtain the average airflow direction vector of the monitoring interval; Calculate the magnitude of the average airflow direction vector to obtain the airflow convergence characteristics; Access the operation configuration table to obtain the airflow reference direction. The operation configuration table is a structured data set used to store environmental control parameters and equipment layout information of the dissection operation area. The airflow reference direction is a reference direction that is pre-set according to the installation direction of the suction equipment; The average airflow direction vector is converted into the average airflow direction angle, and the deviation angle between the average airflow direction angle and the airflow reference direction is calculated to obtain the airflow direction deviation.

7. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 6, characterized in that: In the airflow marking module, an airflow convergence threshold and a direction deviation threshold are set. If the airflow convergence characteristic is greater than or equal to the airflow convergence threshold and the airflow direction deviation is less than or equal to the direction deviation threshold, the monitoring interval is marked as an effective airflow guidance interval. Otherwise, the monitoring interval will be marked as an area of ​​abnormal airflow disturbance; Organic gas voltage signal acquisition and processing are performed only on the monitoring intervals marked as the effective airflow guidance intervals: Organic gas sensors were installed in the dissection work area to collect corresponding organic gas voltage signals at each monitoring time. The organic gas voltage signals represent the concentration level of volatile organic compounds in the air. The organic gas voltage signal within the monitoring range is normalized using the Max-min normalization method, and the normalized organic gas voltage signal is then transmitted to the pollution determination module.

8. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 1, characterized in that: In the pollution determination module, within the current monitoring interval, the normalized organic gas voltage signal corresponding to each monitoring time is subjected to time averaging to obtain the average voltage level. Calculate the time gradient of the organic gas voltage signal and construct the voltage change rate; Based on the average voltage level and voltage change rate, a gas enrichment index is constructed: ； in, The gas enrichment index. The average voltage level, The rate of change of voltage. and These are preset weighting coefficients; After generating the gas enrichment index, the anatomical wound data in the dissection work area is identified and processed. The anatomical wound data includes the anatomical wound area and the anatomical wound opening status value. The anatomical wound area represents the surface area of ​​currently exposed biological tissue. The anatomical wound opening status value is a binary classification value, including 1 and 0.

9. The animal dissection process environmental safety monitoring system based on multi-sensor fusion according to claim 8, characterized in that: In the contamination determination module, the area of ​​the anatomical wound is multiplied by the value of the anatomical wound opening status to obtain the contamination release potential. Based on the gas enrichment index and pollution release potential, a pollution release determination factor is constructed. If the pollution release determination factor is less than the preset pollution state classification threshold, the pollution release state is determined to be a low pollution state. Conversely, if the pollution release status is not specified, the pollution release status is determined to be a high pollution status. Environmental safety alerts are structured output data generated based on the calculation results of pollution release determination factors, including safety alerts and risk alerts; When the pollution release status is determined to be low pollution status, a safety prompt is generated. The safety prompt is used to indicate that the current operating status of the suction equipment should be maintained to avoid redundant adjustment operations. When the pollution release status is determined to be high pollution, a risk warning is generated. The risk warning is used to indicate the intervention measures that need to be taken, including increasing the suction intensity of the suction equipment or suspending the dissection operation.

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