Silylene heating material preparation safety monitoring method and system based on full life cycle

Abstract

The invention relates to the technical field of safety monitoring, and discloses a silylene heating material preparation safety monitoring method and system based on a full life cycle, and the method comprises the steps: determining the full life cycle of a silylene heating material through a preparation process, and analyzing the coordination coupling in a preparation space region, arranging the number of monitoring devices of the safety monitoring devices in the preparation space area by utilizing coordination coupling, and distributing safety monitoring positions of the safety monitoring devices in the preparation space area; querying the number of historical accidents in the whole life cycle from the historical accident data, setting a numerical value acquisition frequency of a safety monitoring device, dividing index extraction intervals of safety monitoring numerical values, extracting monitoring index values corresponding to the whole life cycle from the safety monitoring numerical values, and performing index weighting on the monitoring index values to obtain a safety monitoring index value; and according to the monitoring index value and the stage weight value, identifying a safety monitoring result corresponding to the preparation process. According to the invention, the security monitoring accuracy can be improved, and the abnormal data volume is prevented from excessively deviating from the sample data volume.

Description

Technical Field

[0001] The present invention relates to a method and system for safety monitoring of silicene heating material preparation based on the entire life cycle, belonging to the technical field of safety monitoring. Background Art

[0002] The full life cycle refers to the entire material conversion cycle of a product from its birth to its end. Silicene heating material refers to silicene material prepared by heating. The process of preparing silicene heating material is to evaporate and deposit silicon onto a metal substrate to obtain a sample of silicon combined with a metal substrate, and then anneal this sample to obtain silicene material, wherein silicene is a layered silicon material with a honeycomb structure.

[0003] Nowadays, before the safety monitoring of the preparation process of silicene heating materials is carried out, it is necessary to set up a safety monitoring device at the preparation site. The existing technology generally manually selects a position where various parameters on site can be measured, and installs a monitoring device at this position. However, the actual preparation environment is complex, and the manually selected monitoring device may not be able to completely cover the entire preparation environment. In addition, when setting up the monitoring device, it is also necessary to pre-select the number of required monitoring devices. Since a small number of monitoring devices can cover a sufficiently large preparation environment, the number of monitoring devices is generally not selected by algorithm, but manually selected. This makes it difficult to consider whether the entire preparation environment can be completely covered to ensure the accuracy of monitoring, and whether the number of monitoring devices can be carefully selected to ensure that a sufficient number of monitoring devices accurately monitor the preparation site. Secondly, under normal circumstances, as the scope of monitoring increases and the amount of monitored data increases, the monitored abnormal conditions will also increase accordingly. The higher the sampling frequency of the monitoring device, that is, the shorter the sampling interval, The more sample data the computer obtains per unit time, the more accurate the representation of the signal waveform will be. Therefore, a higher sampling frequency will be set for the monitoring device in the preparation workshop. As the sampling frequency increases, the amount of sample data collected will also increase. However, the amount of abnormal samples in the collected sample data may not increase accordingly. Perhaps when the sampling frequency reaches a certain value, the sample data is very large, and the amount of abnormal samples in the collected sample data tends to remain static. Therefore, when setting the sampling frequency, it is also necessary to consider the growth of the amount of abnormal data in the sample to ensure that the amount of abnormal data corresponding to the sampling frequency will not deviate too much from the amount of sample data. Finally, the existing technology often uses a neural network model to analyze the safety of the entire life stage as a safety monitoring result. However, in actual scenarios, the severity of the consequences of accidents caused by each life stage is different, which leads to different importance of each life stage. The existing technology regards the indicators of each life stage detected as equal indicators and analyzes the safety results. Therefore, the accuracy of the existing technology in analyzing safety results is insufficient.

[0004] Therefore, there is an urgent need for a solution that can improve the accuracy of security monitoring and ensure that the amount of abnormal data does not deviate too much from the sample data amount. Summary of the invention

[0005] The present invention provides a method and system for monitoring the safety of silicene heating material preparation based on the entire life cycle, the main purpose of which is to improve the accuracy of safety authentication while reducing the workload of path detection.

[0006] To achieve the above object, the present invention provides a method for safety monitoring of silicene heating material preparation based on the whole life cycle, comprising:

[0007] Collecting the preparation process of the silicene heating material, and using the preparation process to determine the full life cycle of the silicene heating material, wherein the full life cycle includes a production stage, a processing stage, and a transportation stage;

[0008] Collect historical accident data that occurred during the entire life cycle, query historical accident locations and historical accident categories during the entire life cycle from the historical accident data, obtain a preparation space area corresponding to the entire life cycle, select a safety monitoring device within the preparation space area according to the historical accident category, and extract a target accident location corresponding to the safety monitoring device from the historical accident location;

[0009] Based on the safety monitoring device, analyzing the coordinated coupling in the preparation space area, arranging the number of monitoring devices of the safety monitoring device in the preparation space area by using the coordinated coupling, and allocating the safety monitoring position of the safety monitoring device in the preparation space area based on the number of monitoring devices and the target accident location;

[0010] Query the number of historical accidents in the entire life cycle from the historical accident data, set the value collection frequency of the safety monitoring device based on the number of historical accidents, and after installing the safety monitoring device at the safety monitoring position according to the number of monitoring devices, use the safety monitoring device and the value collection frequency to collect the safety monitoring value corresponding to the entire life cycle;

[0011] Divide the indicator extraction interval of the safety monitoring value, extract the monitoring indicator value corresponding to the whole life cycle from the safety monitoring value within the indicator extraction interval, assign stage weights to the whole life cycle to obtain stage weight values, and identify the safety monitoring result corresponding to the preparation process according to the monitoring indicator value and the stage weight value.

[0012] Optionally, the use of the preparation process to determine the full life cycle of the silicene heating material includes:

[0013] Identifying a changed substance undergoing a morphological change during the preparation process;

[0014] Query the substance before and after the change of the changed substance;

[0015] Determining whether the content of the substance before the change is related to the content of the substance after the change;

[0016] When the content of the substance before the change is not related to the content of the substance after the change, determining the production stage in the preparation process;

[0017] determining a processing stage in the preparation process when the content of the substance before the change is related to the content of the substance after the change;

[0018] When the changed substance moves in position, the transport stage in the preparation process is determined.

[0019] Optionally, analyzing the coordination coupling within the preparation space region based on the safety monitoring device includes:

[0020] Based on the safety monitoring device, the coordination degree within the preparation space area is calculated using the following formula:

[0021] T=β 1 U 1 +β 2 U 2 +β 3 U 3

[0022] Among them, T represents the coordination degree, U 1 Indicates the volume of the safety monitoring device that needs to be installed, U 2 represents the total volume of the preparation space region, U 3 Indicates the maximum volume that the safety monitoring device can monitor, β 1 Indicates U 1 The weight, β 2 Indicates U 2 The weight, β 3 Indicates U 3 The weight of

[0023] Based on the safety monitoring device, the coupling value in the preparation space area is calculated using the following formula:

[0024]

[0025] Where C represents the coupling value, i represents the serial number of different volumes, and U 1 Indicates the volume of the safety monitoring device that needs to be installed, U 2 represents the total volume of the preparation space region, U 3 Indicates the maximum volume that a safety monitoring device can monitor;

[0026] Based on the coordination degree and the coupling value, the coordination coupling in the preparation space region is calculated using the following formula:

[0027]

[0028] Among them, D represents coordinated coupling, T represents coordination degree, and C represents coupling value.

[0029] Optionally, the step of using the coordinated coupling to arrange the number of monitoring devices of the safety monitoring device in the preparation space area includes:

[0030] extracting a maximum coordinated coupling from the coordinated couplings;

[0031] Querying the device monitoring volume corresponding to the maximum coordinated coupling;

[0032] Based on the device monitoring volume, the number of monitoring devices of the safety monitoring device in the preparation space area is determined.

[0033] Optionally, allocating the safety monitoring position of the safety monitoring device in the preparation space area based on the number of the monitoring devices and the target accident location includes:

[0034] Querying the security monitoring range of the security monitoring device;

[0035] Based on the number of monitoring devices, randomly assigning initial monitoring positions of the security monitoring devices;

[0036] Based on the safety monitoring range, the safety monitoring volume of the safety monitoring device at the initial monitoring position is calculated:

[0037]

[0038]

[0039] Where V(1) represents the safety monitoring volume, r j represents the radius of the jth security monitoring range in the intersecting sphere set p, r k represents the radius of the kth security monitoring range in the intersecting sphere set p, V j represents the volume of the jth security monitoring range in the intersecting sphere set p, a jk represents the distance between the center of the jth safety monitoring range and the center of the kth safety monitoring range calculated based on the initial monitoring position, h represents the height of the spherical crown, V jkrepresents the volume where the j-th security monitoring range intersects with the k-th security monitoring range, M represents the number of security monitoring devices in the sphere set p where the intersection occurs, represents the volume of the intersection between the gth pair jk, G represents the number of pairs of intersections in the set p of spheres that intersect, V l represents the volume of the lth safety monitoring range in the non-intersecting sphere set q, L represents the number of safety monitoring devices in the non-intersecting sphere set q;

[0040] According to the target accident location, the accident space volume corresponding to the safety monitoring device in the preparation space area is calculated using the following formula:

[0041]

[0042] Where V(2) represents the accident space volume, f(x,y,z) d A represents the description function of the plane connected by the target accident positions generated after the rectangular coordinate system in the preparation space is established. d Indicates the starting point of the dth segment describing the function, B d represents the end point of the dth segment describing the function, and D' represents the total number of d;

[0043] When the safety monitoring volume is not less than the accident space volume, the initial monitoring position is used as the safety monitoring position of the safety monitoring device in the preparation space area.

[0044] Optionally, the setting of the value collection frequency of the safety monitoring device based on the number of historical accidents includes:

[0045] Obtaining the target accident number of the safety monitoring device at different frequencies from the historical accident number;

[0046] According to the target accident quantity, constructing a frequency-quantity curve of the safety monitoring device at different frequencies;

[0047] Based on the frequency-quantity curve, the value acquisition frequency of the safety monitoring device is calculated using the following formula:

[0048]

[0049] Among them, τ represents the frequency of numerical acquisition, F (1) (τ 2 ) represents τ 2 The derivative of the frequency-number curve at frequency, F (1) (τ 1～2 ) represents τ 1 ~τ 2 The derivative of the frequency-number curve in the frequency interval, F(1) (τ 2～3 ) represents τ 2 ~τ 3 The derivative of the frequency-number curve in the frequency interval, F (1) (τ 1～3 ) represents τ 1 ~τ 3 The derivative of the frequency-number curve in the frequency interval, Indicates F (1) (τ 1 ) and F (1) (τ 3 ) corresponds to the frequency of the maximum value.

[0050] Optionally, extracting the monitoring indicator value corresponding to the entire life cycle from the security monitoring value within the indicator extraction interval includes:

[0051] Acquire concentration parameters, temperature parameters and on-site images from the safety monitoring values;

[0052] Within the index extraction interval, calculating the concentration mean of the concentration parameter and the temperature mean of the temperature parameter;

[0053] Identify the behavior number of the scene image within the index extraction interval;

[0054] The concentration mean, the temperature mean and the behavior number are used as monitoring indicator values ​​corresponding to the entire life cycle;

[0055] The process of identifying the behavior number of the on-site image within the index extraction interval refers to:

[0056] Performing target detection on the scene image to obtain target coordinates;

[0057] Tracking the target coordinates within the index extraction interval to obtain a tracked target;

[0058] Identify the target behavior of the tracking target; and query the behavior number of the target behavior.

[0059] Optionally, weighting the entire life cycle to obtain a stage weight value includes:

[0060] Query target accident data corresponding to the entire life cycle from historical accident data;

[0061] Identifying an accident severity level of the target accident data;

[0062] Based on the accident severity level, determining the stage severity level of the entire life cycle;

[0063] Based on the severity level of the stage, the whole life cycle is weighted using the following formula to obtain the stage weight value:

[0064]

[0065] Among them, E represents the stage weight value, e 1 It represents the stage weight value of the lowest severity level in the stage severity level, N represents the number of stage severity levels, e t-1 Indicates the stage weight value of the stage severity level of level t.

[0066] Optionally, identifying the safety monitoring result corresponding to the preparation process according to the monitoring index value and the stage weight value includes:

[0067] Performing index standardization on the monitoring index value to obtain a standard index value;

[0068] According to the standard index value, the preparation safety value corresponding to the preparation process is calculated using the following formula:

[0069]

[0070] Among them, y represents the preparation safety value, x u represents the u-th standard index value, x v represents the vth standard indicator value in addition to the uth standard indicator value, σ represents the hyperparameter, and w u 、w' u Represents x u Two Lagrange multipliers of different sizes, m represents the number of standard index values, and b represents the bias;

[0071] The preparation safety value is weighted and summed using the stage weight value to obtain a safety monitoring score;

[0072] The safety monitoring result corresponding to the preparation process is identified by the safety monitoring score.

[0073] In order to solve the above problems, the present invention also provides a safety monitoring system for preparing silicene heating materials based on the whole life cycle, the system comprising:

[0074] A cycle determination module, used to collect the preparation process of the silicene heating material, and use the preparation process to determine the full life cycle of the silicene heating material, wherein the full life cycle includes a production stage, a processing stage, and a transportation stage;

[0075] A location extraction module is used to collect historical accident data occurring during the entire life cycle, query the historical accident locations and historical accident categories during the entire life cycle from the historical accident data, obtain the preparation space area corresponding to the entire life cycle, select the safety monitoring device within the preparation space area according to the historical accident category, and extract the target accident location corresponding to the safety monitoring device from the historical accident location;

[0076] A position allocation module, for analyzing the coordinated coupling within the preparation space area based on the safety monitoring device, arranging the number of monitoring devices of the safety monitoring device within the preparation space area by using the coordinated coupling, and allocating the safety monitoring position of the safety monitoring device within the preparation space area based on the number of monitoring devices and the target accident location;

[0077] a value collection module, used to query the number of historical accidents in the whole life cycle from the historical accident data, set the value collection frequency of the safety monitoring device based on the number of historical accidents, and collect the safety monitoring value corresponding to the whole life cycle by using the safety monitoring device and the value collection frequency after installing the safety monitoring device at the safety monitoring position according to the number of monitoring devices;

[0078] A safety monitoring module is used to divide the indicator extraction interval of the safety monitoring value, extract the monitoring indicator value corresponding to the entire life cycle from the safety monitoring value within the indicator extraction interval, assign stages to the entire life cycle to obtain stage weight values, and identify the safety monitoring results corresponding to the preparation process based on the monitoring indicator value and the stage weight value.

[0079] Compared with the problem described in the background technology, the embodiment of the present invention analyzes the coordination coupling within the preparation space area based on the safety monitoring device, so as to characterize the coordination and coupling between the preparation space area, the space area where the accident occurred, and the space area detected by the device through the coordination coupling. The larger the value of the coordination coupling, the better the coordination and coupling between the preparation space area, the space area where the accident occurred, and the space area detected by the device. Therefore, the number of safety monitoring devices can be selected based on the coordination coupling, because the size of the space area detected by the device is closely related to the number of safety monitoring devices, and ultimately a sufficient number of monitoring devices are guaranteed to accurately monitor the preparation site. Furthermore, the embodiment of the present invention allocates the safety monitoring position of the safety monitoring device in the preparation space area based on the number of monitoring devices and the target accident location, so as to select the device installation position that can completely cover the entire preparation environment through an algorithm to ensure the accuracy of monitoring. Furthermore, the embodiment of the present invention sets the value collection frequency of the safety monitoring device based on the number of historical accidents to ensure that the amount of abnormal data will not deviate too much from the sample data amount. Furthermore, the embodiment of the present invention assigns different weights to different life stages by weighting the entire life cycle. Therefore, the method and system for safety monitoring of silicene heating material preparation based on the entire life cycle provided by the embodiments of the present invention can improve the accuracy of safety monitoring and ensure that the amount of abnormal data does not deviate too much from the sample data amount. BRIEF DESCRIPTION OF THE DRAWINGS

[0080] Figure 1 A schematic diagram of a process for a method for safety monitoring of silicene heating material preparation based on a full life cycle provided by an embodiment of the present invention;

[0081] Figure 2 A schematic diagram of a module for implementing the method for safety monitoring of silicene heating material preparation based on the entire life cycle provided in one embodiment of the present invention.

[0082] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings in conjunction with the embodiments. DETAILED DESCRIPTION

[0083] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0084] The embodiment of the present application provides a method for safety monitoring of the preparation of silicene heating materials based on the entire life cycle. The execution subject of the method for safety monitoring of the preparation of silicene heating materials based on the entire life cycle includes but is not limited to at least one of the electronic devices such as a server and a terminal that can be configured to execute the method provided by the embodiment of the present application. In other words, the method for safety monitoring of the preparation of silicene heating materials based on the entire life cycle can be executed by software or hardware installed on a terminal device or a server device. The server includes but is not limited to: a single server, a server cluster, a cloud server or a cloud server cluster, etc.

[0085] Embodiment 1:

[0086] Reference Figure 1 FIG. 1 is a flow chart of a method for monitoring the safety of silicene heating material preparation based on the entire life cycle provided by an embodiment of the present invention. In this embodiment, the method for monitoring the safety of silicene heating material preparation based on the entire life cycle includes:

[0087] S1. Collect the preparation process of the silicene heating material, and use the preparation process to determine the full life cycle of the silicene heating material, wherein the full life cycle includes a production stage, a processing stage, and a transportation stage.

[0088] In the embodiment of the present invention, the preparation process refers to evaporating and depositing semiconductor silicon onto a metal substrate to obtain a sample in which silicon and the metal substrate are combined, and then annealing the sample to obtain a silicene material.

[0089] In one embodiment of the present invention, the use of the preparation process to determine the entire life cycle of the silicene heating material includes: identifying the changed substance that undergoes morphological changes in the preparation process; querying the substance before the change and the substance after the change of the changed substance; determining whether the content of the substance before the change and the substance after the change are correlated; when the content of the substance before the change and the substance after the change are not correlated, determining the production stage in the preparation process; when the content of the substance before the change and the substance after the change are correlated, determining the processing stage in the preparation process; when the changed substance moves in position, determining the transportation stage in the preparation process.

[0090] Among them, the changed substance refers to the raw materials used before producing semiconductor silicon, the semiconductor silicon produced, the raw materials used before producing the metal substrate, the metal substrate produced, and the substance obtained by combining the produced semiconductor silicon with the metal substrate. The substance before the change and the substance after the change refer to substances that have undergone morphological changes and have a chronological relationship, such as the raw materials used before producing semiconductor silicon and the semiconductor silicon produced, and the substance obtained by combining the produced semiconductor silicon with the metal substrate. Among them, the semiconductor silicon produced, the metal substrate produced, and the substance obtained by combining the produced semiconductor silicon with the metal substrate, the former form uses silicon, and the latter form also has silicon, the former form uses the metal substrate, and the latter form also has the metal substrate, then the semiconductor silicon produced, the metal substrate produced, and the substance obtained by combining the produced semiconductor silicon with the metal substrate are related in content, that is, the substances used in the former form are all used by the latter form, then the substance contents are related, and for the raw materials used before producing semiconductor silicon and the semiconductor silicon produced, the carbonaceous reducing agent C in the raw materials silica SiO2 and carbonaceous reducing agent C used in the former form are not used by the latter form, then the substance contents are unrelated.

[0091] S2. Collect historical accident data that occurs during the entire life cycle, query historical accident locations and historical accident categories during the entire life cycle from the historical accident data, obtain the preparation space area corresponding to the entire life cycle, select the safety monitoring device within the preparation space area according to the historical accident category, and extract the target accident location corresponding to the safety monitoring device from the historical accident location.

[0092] In an embodiment of the present invention, the historical accident data includes data such as the abnormality category, abnormality time, and abnormal location of the historical accident. The abnormality categories include temperature abnormality, concentration abnormality, and image data abnormality. The image data abnormality is the abnormal behavior and action of workshop employees when interacting with machines during preparation. Furthermore, the preparation space area refers to the workshop and factory space occupied by each life stage of the entire life cycle. The safety monitoring device refers to a device that can detect the category of historical accidents, such as a temperature detection device corresponding to a temperature abnormality. The target accident location refers to the location where the historical accident category detected by the safety monitoring device occurs.

[0093] S3. Based on the safety monitoring device, analyze the coordinated coupling within the preparation space area, use the coordinated coupling to arrange the number of monitoring devices of the safety monitoring device in the preparation space area, and allocate the safety monitoring position of the safety monitoring device in the preparation space area based on the number of monitoring devices and the target accident location.

[0094] The embodiment of the present invention analyzes the coordination coupling within the preparation space area based on the safety monitoring device, so as to characterize the coordination and coupling between the preparation space area, the space area where the accident occurred, and the space area detected by the device through the coordination coupling. The larger the value of the coordination coupling, the better the coordination and coupling between the preparation space area, the space area where the accident occurred, and the space area detected by the device. Therefore, the number of safety monitoring devices can be selected based on the coordination coupling, because the size of the space area detected by the device is closely related to the number of safety monitoring devices, ultimately ensuring that a sufficient number of monitoring devices accurately monitor the preparation site.

[0095] In one embodiment of the present invention, analyzing the coordination coupling in the preparation space region based on the safety monitoring device includes: calculating the coordination degree in the preparation space region based on the safety monitoring device using the following formula:

[0096] T=β 1 U 1 +β 2 U 2 +β 3 U 3

[0097] Among them, T represents the coordination degree, U 1 Indicates the volume of the safety monitoring device that needs to be installed, U 2 represents the total volume of the preparation space region, U 3 Indicates the maximum volume that the safety monitoring device can monitor, β 1 Indicates U 1 The weight, β 2 Indicates U 2 The weight, β 3 Indicates U 3 The weight of

[0098] Based on the safety monitoring device, the coupling value in the preparation space area is calculated using the following formula:

[0099]

[0100] Where C represents the coupling value, i represents the serial number of different volumes, and U 1 Indicates the volume of the safety monitoring device that needs to be installed, U 2 represents the total volume of the preparation space region, U 3 Indicates the maximum volume that a safety monitoring device can monitor;

[0101] Based on the coordination degree and the coupling value, the coordination coupling in the preparation space region is calculated using the following formula:

[0102]

[0103] Among them, D represents coordinated coupling, T represents coordination degree, and C represents coupling value.

[0104] It should be noted that when calculating the coordinated coupling, it is necessary to calculate the coordinated coupling of each category of devices, such as calculating the coordinated coupling of the temperature detection device and the coordinated coupling of the image detection device, so as to obtain the number of security monitoring devices of each category later, where U 1 represents the volume where the safety monitoring device needs to be set up, that is, the volume of the space area connected by the coordinate points of the historical accident location. The calculation method is similar to the principle of calculating the accident space volume corresponding to the safety monitoring device in the preparation space area according to the target accident location. Further, U 3 The maximum volume that a safety monitoring device can monitor is the sum of the monitoring volumes of each safety monitoring device. For example, if the monitoring volume of a safety monitoring device is a sphere of size 10, then U 3 is the sum of 10 of the multiple security monitoring devices, where the number of the multiple security monitoring devices is randomly set, that is, the U of the random number of security monitoring devices is calculated. 3 .

[0105] In one embodiment of the present invention, the use of the coordinated coupling to arrange the number of monitoring devices of the security monitoring device in the preparation space area includes: extracting the maximum coordinated coupling from the coordinated coupling; querying the device monitoring volume corresponding to the maximum coordinated coupling; and determining the number of monitoring devices of the security monitoring device in the preparation space area based on the device monitoring volume.

[0106] Furthermore, the embodiment of the present invention allocates the safety monitoring positions of the safety monitoring devices within the preparation space area based on the number of the monitoring devices and the target accident location, so as to select the device installation position that can completely cover the entire preparation environment through an algorithm to ensure the accuracy of monitoring.

[0107] In one embodiment of the present invention, allocating the safety monitoring position of the safety monitoring device in the preparation space area based on the number of monitoring devices and the target accident location includes: querying the safety monitoring range of the safety monitoring device; randomly allocating the initial monitoring position of the safety monitoring device based on the number of monitoring devices; and calculating the safety monitoring volume of the safety monitoring device at the initial monitoring position based on the safety monitoring range:

[0108]

[0109] Where V(1) represents the safety monitoring volume, r jrepresents the radius of the jth security monitoring range in the intersecting sphere set p, r k represents the radius of the kth security monitoring range in the intersecting sphere set p, V j represents the volume of the jth security monitoring range in the intersecting sphere set p, a jk represents the distance between the center of the jth safety monitoring range and the center of the kth safety monitoring range calculated based on the initial monitoring position, h represents the height of the spherical crown, V jk represents the volume where the j-th security monitoring range intersects with the k-th security monitoring range, M represents the number of security monitoring devices in the sphere set p where the intersection occurs, represents the volume of the intersection between the gth pair jk, G represents the number of pairs of intersections in the set p of spheres that intersect, V l represents the volume of the lth safety monitoring range in the non-intersecting sphere set q, L represents the number of safety monitoring devices in the non-intersecting sphere set q;

[0110] According to the target accident location, the accident space volume corresponding to the safety monitoring device in the preparation space area is calculated using the following formula:

[0111]

[0112] Where V(2) represents the accident space volume, f(x,y,z) d A represents the description function of the plane connected by the target accident positions generated after the rectangular coordinate system in the preparation space is established. d Indicates the starting point of the dth segment describing the function, B d represents the end point of the dth segment describing the function, and D' represents the total number of d;

[0113] When the safety monitoring volume is not less than the accident space volume, the initial monitoring position is used as the safety monitoring position of the safety monitoring device in the preparation space area.

[0114] Among them, the safety monitoring range refers to a sphere centered on the safety monitoring device, and the accident space volume refers to the volume space formed by the target accident location where the accident occurred in the preparation space area.

[0115] S4. Query the number of historical accidents in the entire life cycle from the historical accident data, set the value collection frequency of the safety monitoring device based on the number of historical accidents, and after installing the safety monitoring device at the safety monitoring position according to the number of monitoring devices, use the safety monitoring device and the value collection frequency to collect the safety monitoring values ​​corresponding to the entire life cycle.

[0116] In the embodiments of the present invention, the historical accident quantity refers to the accident quantity of each accident type in each life stage, rather than the total accident quantity of all accident types. It should be noted that the aforementioned monitoring device quantity and safety accident location refer to the values in each life stage, that is, different life stages correspond to different monitoring device quantities and safety accident locations.

[0117] Furthermore, in the embodiments of the present invention, the numerical acquisition frequency of the safety monitoring device is set based on the historical accident quantity to ensure that the abnormal data quantity does not deviate too much from the sample data quantity.

[0118] In one embodiment of the present invention, setting the numerical acquisition frequency of the safety monitoring device based on the historical accident quantity includes: obtaining the target accident quantity of the safety monitoring device at different frequencies from the historical accident quantity; constructing a frequency - quantity curve of the safety monitoring device at different frequencies according to the target accident quantity; and calculating the numerical acquisition frequency of the safety monitoring device based on the frequency - quantity curve by using the following formula:

[0119]

[0120] where τ represents the numerical acquisition frequency, F (1) (τ 2 ) represents the derivative of the frequency - quantity curve at the frequency of τ 2 , F (1) (τ 1～2 ) represents the derivative of the frequency - quantity curve in the frequency interval from τ 1 to τ 2 , F (1) (τ 2～3 ) represents the derivative of the frequency - quantity curve in the frequency interval from τ 2 to τ 3 , F (1) (τ 1～3 ) represents the derivative of the frequency - quantity curve in the frequency interval from τ 1 to τ 3 , and represents the frequency corresponding to the maximum value between F (1) (τ 1 ) and F (1) (τ 3 ).

[0121] S5. Divide the index extraction interval of the safety monitoring values. Within the index extraction interval, extract the monitoring index values corresponding to the full life cycle from the safety monitoring values, assign weights to the stages for the full life cycle to obtain stage weight values, and identify the safety monitoring results corresponding to the preparation process according to the monitoring index values and the stage weight values.

[0122] In the embodiment of the present invention, the indicator extraction interval refers to a continuous period of time, and the intervals are divided according to actual scenarios.

[0123] In one embodiment of the present invention, the monitoring index value corresponding to the entire life cycle is extracted from the safety monitoring value within the index extraction interval, including: obtaining concentration parameters, temperature parameters and on-site images from the safety monitoring values; calculating the concentration mean of the concentration parameter and the temperature mean of the temperature parameter within the index extraction interval; identifying the behavior number of the on-site image within the index extraction interval; using the concentration mean, the temperature mean and the behavior number as the monitoring index value corresponding to the entire life cycle; wherein the process of identifying the behavior number of the on-site image within the index extraction interval refers to: performing target detection on the on-site image to obtain target coordinates; performing target tracking on the target coordinates within the index extraction interval to obtain a tracking target; identifying the target behavior of the tracking target; and querying the behavior number of the target behavior.

[0124] Optionally, the process of performing target detection on the scene image and obtaining target coordinates is implemented by yolov5, the process of performing target tracking on the target coordinates within the indicator extraction interval and obtaining the tracked target is implemented by deepsort, the process of identifying the target behavior of the tracked target is implemented by slowfast, and the process of querying the behavior number of the target behavior refers to the process of querying the corresponding serial number in the output end of the neural network model where the target behavior is located.

[0125] Furthermore, the embodiment of the present invention assigns different weights to different life stages by weighting the entire life cycle.

[0126] In one embodiment of the present invention, the step of weighting the entire life cycle to obtain a stage weight value includes: querying target accident data corresponding to the entire life cycle from historical accident data; identifying the accident severity level of the target accident data; determining the stage severity level of the entire life cycle based on the accident severity level; and based on the stage severity level, weighting the entire life cycle using the following formula to obtain a stage weight value:

[0127]

[0128] Among them, E represents the stage weight value, e 1 It represents the stage weight value of the lowest severity level in the stage severity level, N represents the number of stage severity levels, e t-1 Indicates the stage weight value of the stage severity level of level t.

[0129] Among them, the target accident data refers to the accident data of each life stage in the whole life cycle, the accident severity level refers to the severity of each accident defined by experts, and the stage severity level is actually consistent with the accident severity level. For example, in a certain life stage, when the number of accident severity level No. 1 accounts for the largest proportion, the accident severity level No. 1 is used as the stage severity level of this life stage. The difference is that the stage severity level represents the severity level of each life stage, while the accident severity level represents the severity level of each accident.

[0130] In one embodiment of the present invention, identifying the safety monitoring result corresponding to the preparation process according to the monitoring index value and the stage weight value includes: performing index standardization on the monitoring index value to obtain a standard index value; and calculating the preparation safety value corresponding to the preparation process according to the standard index value using the following formula:

[0131]

[0132] Among them, y represents the preparation safety value, x u represents the u-th standard index value, x v represents the vth standard indicator value in addition to the uth standard indicator value, σ represents the hyperparameter, and w u 、w' u Represents x u Two Lagrange multipliers of different sizes, m represents the number of standard index values, and b represents the bias;

[0133] The preparation safety value is weighted and summed using the stage weight values ​​to obtain a safety monitoring score; and the safety monitoring result corresponding to the preparation process is identified using the safety monitoring score.

[0134] It should be noted that each life stage corresponds to a preparation safety value.

[0135] Optionally, the process of performing index standardization on the monitoring index value to obtain a standard index value refers to the process of converting different monitoring index values ​​into index values ​​of the same dimension by using a standardization algorithm.

[0136] Compared with the problem described in the background technology, the embodiment of the present invention analyzes the coordination coupling within the preparation space area based on the safety monitoring device, so as to characterize the coordination and coupling between the preparation space area, the space area where the accident occurred, and the space area detected by the device through the coordination coupling. The larger the value of the coordination coupling, the better the coordination and coupling between the preparation space area, the space area where the accident occurred, and the space area detected by the device. Therefore, the number of safety monitoring devices can be selected based on the coordination coupling, because the size of the space area detected by the device is closely related to the number of safety monitoring devices, and ultimately a sufficient number of monitoring devices are guaranteed to accurately monitor the preparation site. Furthermore, the embodiment of the present invention allocates the safety monitoring position of the safety monitoring device within the preparation space area based on the number of monitoring devices and the target accident location, so as to select the device installation position that can completely cover the entire preparation environment through an algorithm to ensure the accuracy of monitoring. Furthermore, the embodiment of the present invention sets the value collection frequency of the safety monitoring device based on the number of historical accidents to ensure that the amount of abnormal data does not deviate too much from the sample data amount. Furthermore, the embodiment of the present invention assigns different weights to different life stages by weighting the entire life cycle. Therefore, the method and system for safety monitoring of silicene heating material preparation based on the entire life cycle provided by the embodiments of the present invention can improve the accuracy of safety monitoring and ensure that the amount of abnormal data does not deviate too much from the sample data amount.

[0137] Embodiment 2:

[0138] like Figure 2 Shown is a functional module diagram of a safety monitoring system for preparing silicene heating materials based on the entire life cycle of the present invention.

[0139] The safety monitoring system 200 for preparing silicene heating materials based on the whole life cycle of the present invention can be installed in an electronic device. According to the functions implemented, the safety monitoring system for preparing silicene heating materials based on the whole life cycle can include a cycle determination module 201, a position extraction module 202, a position allocation module 203, a value acquisition module 204 and a safety monitoring module 205. The module described in the present invention can also be referred to as a unit, which refers to a series of computer program segments that can be executed by an electronic device processor and can complete fixed functions, which are stored in the memory of the electronic device.

[0140] In the embodiment of the present invention, the functions of each module / unit are as follows:

[0141] The cycle determination module 201 is used to collect the preparation process of the silicene heating material, and use the preparation process to determine the full life cycle of the silicene heating material, wherein the full life cycle includes a production stage, a processing stage, and a transportation stage;

[0142] The position extraction module 202 is used to collect historical accident data that occurred during the entire life cycle, query the historical accident positions and historical accident categories during the entire life cycle from the historical accident data, obtain the preparation space area corresponding to the entire life cycle, select the safety monitoring device within the preparation space area according to the historical accident category, and extract the target accident position corresponding to the safety monitoring device from the historical accident positions;

[0143] The position allocation module 203 is used to analyze the coordination coupling in the preparation space area based on the safety monitoring device, arrange the number of monitoring devices of the safety monitoring device in the preparation space area by using the coordination coupling, and allocate the safety monitoring position of the safety monitoring device in the preparation space area based on the number of monitoring devices and the target accident location;

[0144] The value collection module 204 is used to query the number of historical accidents in the whole life cycle from the historical accident data, set the value collection frequency of the safety monitoring device based on the number of historical accidents, and collect the safety monitoring value corresponding to the whole life cycle by using the safety monitoring device and the value collection frequency after installing the safety monitoring device at the safety monitoring position according to the number of monitoring devices;

[0145] The safety monitoring module 205 is used to divide the indicator extraction interval of the safety monitoring value, extract the monitoring indicator value corresponding to the entire life cycle from the safety monitoring value within the indicator extraction interval, assign stages to the entire life cycle to obtain stage weight values, and identify the safety monitoring results corresponding to the preparation process based on the monitoring indicator value and the stage weight value.

[0146] In detail, each module in the safety monitoring system 200 for preparing silicene heating materials based on the whole life cycle described in the embodiment of the present invention is used in the same manner as described above. Figure 1 The technical means are the same as the safety monitoring method for preparing silicene heating materials based on the whole life cycle described in, and can produce the same technical effects, so they will not be repeated here.

[0147] It is obvious to those skilled in the art that the present invention is not limited to the details of the above exemplary embodiments, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0148] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solution of the present invention can be modified or replaced by equivalents without departing from the spirit and scope of the technical solution of the present invention.

Claims

1. A safety monitoring method for the preparation of silicene heating materials based on the entire life cycle, It is characterized in that The method comprises: Collecting the preparation process of the silicene heating material, and using the preparation process to determine the full life cycle of the silicene heating material, wherein the full life cycle includes a production stage, a processing stage, and a transportation stage; Collect historical accident data that occurred during the entire life cycle, query historical accident locations and historical accident categories during the entire life cycle from the historical accident data, obtain a preparation space area corresponding to the entire life cycle, select a safety monitoring device within the preparation space area according to the historical accident category, and extract a target accident location corresponding to the safety monitoring device from the historical accident location; Based on the safety monitoring device, analyzing the coordinated coupling in the preparation space area, arranging the number of monitoring devices of the safety monitoring device in the preparation space area by using the coordinated coupling, and allocating the safety monitoring position of the safety monitoring device in the preparation space area based on the number of monitoring devices and the target accident location; Query the number of historical accidents in the entire life cycle from the historical accident data, set the value collection frequency of the safety monitoring device based on the number of historical accidents, and after installing the safety monitoring device at the safety monitoring position according to the number of monitoring devices, use the safety monitoring device and the value collection frequency to collect the safety monitoring value corresponding to the entire life cycle; Divide the indicator extraction interval of the safety monitoring value, extract the monitoring indicator value corresponding to the whole life cycle from the safety monitoring value within the indicator extraction interval, assign stage weights to the whole life cycle to obtain stage weight values, and identify the safety monitoring result corresponding to the preparation process according to the monitoring indicator value and the stage weight value.

2. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that The method of using the preparation process to determine the entire life cycle of the silicene heating material includes: Identifying a changed substance undergoing a morphological change during the preparation process; Query the substance before and after the change of the changed substance; Determining whether the content of the substance before the change is related to the content of the substance after the change; When the content of the substance before the change is not related to the content of the substance after the change, determining the production stage in the preparation process; determining a processing stage in the preparation process when the content of the substance before the change is related to the content of the substance after the change; When the changed substance moves in position, the transport stage in the preparation process is determined.

3. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that The step of analyzing the coordinated coupling within the preparation space region based on the safety monitoring device includes: Based on the safety monitoring device, the coordination degree within the preparation space area is calculated using the following formula: T=β 1 U 1 +b 2 U 2 +b 3 U 3 Among them, T represents the coordination degree, U 1 Indicates the volume of the safety monitoring device that needs to be installed, U 2 represents the total volume of the preparation space region, U 3 Indicates the maximum volume that the safety monitoring device can monitor, β 1 Indicates U 1 The weight, β 2 Indicates U 2 The weight, β 3 Indicates U 3 The weight of Based on the safety monitoring device, the coupling value in the preparation space area is calculated using the following formula: Where C represents the coupling value, i represents the serial number of different volumes, and U 1 Indicates the volume of the safety monitoring device that needs to be installed, U 2 represents the total volume of the preparation space region, U 3 Indicates the maximum volume that a safety monitoring device can monitor; Based on the coordination degree and the coupling value, the coordination coupling in the preparation space region is calculated using the following formula: Among them, D represents coordinated coupling, T represents coordination degree, and C represents coupling value.

4. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that The method of using the coordinated coupling to arrange the number of monitoring devices of the safety monitoring device in the preparation space area includes: extracting a maximum coordinated coupling from the coordinated couplings; Querying the device monitoring volume corresponding to the maximum coordinated coupling; Based on the device monitoring volume, the number of monitoring devices of the safety monitoring device in the preparation space area is determined.

5. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that The allocating the safety monitoring position of the safety monitoring device in the preparation space area based on the number of the monitoring devices and the target accident location includes: Querying the security monitoring range of the security monitoring device; Based on the number of monitoring devices, randomly assigning initial monitoring positions of the security monitoring devices; Based on the safety monitoring range, the safety monitoring volume of the safety monitoring device at the initial monitoring position is calculated: Where V(1) represents the safety monitoring volume, r j represents the radius of the jth security monitoring range in the intersecting sphere set p, r k represents the radius of the kth security monitoring range in the intersecting sphere set p, V j represents the volume of the jth security monitoring range in the intersecting sphere set p, a jk represents the distance between the center of the jth safety monitoring range and the center of the kth safety monitoring range calculated based on the initial monitoring position, h represents the height of the spherical crown, V jk represents the volume where the j-th security monitoring range intersects with the k-th security monitoring range, M represents the number of security monitoring devices in the sphere set p where the intersection occurs, represents the volume of the intersection between the gth pair jk, G represents the number of pairs of intersections in the set p of spheres that intersect, V l represents the volume of the lth safety monitoring range in the non-intersecting sphere set q, L represents the number of safety monitoring devices in the non-intersecting sphere set q; According to the target accident location, the accident space volume corresponding to the safety monitoring device in the preparation space area is calculated using the following formula: Where V(2) represents the accident space volume, f(x,y,z) d A represents the description function of the plane connected by the target accident positions generated after the rectangular coordinate system in the preparation space is established. d Indicates the starting point of the dth segment describing the function, B d represents the end point of the dth segment describing the function, and D' represents the total number of d; When the safety monitoring volume is not less than the accident space volume, the initial monitoring position is used as the safety monitoring position of the safety monitoring device in the preparation space area.

6. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that The step of setting the value collection frequency of the safety monitoring device based on the number of historical accidents includes: Obtaining the target accident number of the safety monitoring device at different frequencies from the historical accident number; According to the target accident quantity, constructing a frequency-quantity curve of the safety monitoring device at different frequencies; Based on the frequency-quantity curve, the value acquisition frequency of the safety monitoring device is calculated using the following formula: Among them, τ represents the frequency of numerical acquisition, F (1) (τ 2 ) represents τ 2 The derivative of the frequency-number curve at frequency, F (1) (τ 1～2 ) represents τ 1 ~τ 2 The derivative of the frequency-number curve in the frequency interval, F (1) (τ 2～3 ) represents τ 2 ~τ 3 The derivative of the frequency-number curve in the frequency interval, F (1) (τ 1～3 ) represents τ 1 ~τ 3 The derivative of the frequency-number curve in the frequency interval, Indicates F (1) (τ 1 ) and F (1) (τ 3 ) corresponds to the frequency of the maximum value.

7. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that Extracting the monitoring indicator value corresponding to the entire life cycle from the security monitoring value within the indicator extraction interval includes: Acquire concentration parameters, temperature parameters and on-site images from the safety monitoring values; Within the index extraction interval, calculating the concentration mean of the concentration parameter and the temperature mean of the temperature parameter; Identify the behavior number of the scene image within the index extraction interval; The concentration mean, the temperature mean and the behavior number are used as monitoring indicator values ​​corresponding to the entire life cycle; The process of identifying the behavior number of the on-site image within the index extraction interval refers to: Performing target detection on the scene image to obtain target coordinates; Tracking the target coordinates within the index extraction interval to obtain a tracked target; Identify the target behavior of the tracking target; and query the behavior number of the target behavior.

8. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that The step of weighting the entire life cycle to obtain the stage weight values ​​includes: Query target accident data corresponding to the entire life cycle from historical accident data; Identifying an accident severity level of the target accident data; Based on the accident severity level, determining the stage severity level of the entire life cycle; Based on the severity level of the stage, the whole life cycle is weighted using the following formula to obtain the stage weight value: Among them, E represents the stage weight value, e 1 It represents the stage weight value of the lowest severity level in the stage severity level, N represents the number of stage severity levels, e t-1 Indicates the stage weight value of the stage severity level of level t.

9. The method for safety monitoring of silicene heating material preparation based on the whole life cycle as claimed in claim 1, It is characterized in that The identifying the safety monitoring result corresponding to the preparation process according to the monitoring index value and the stage weight value includes: Performing index standardization on the monitoring index value to obtain a standard index value; According to the standard index value, the preparation safety value corresponding to the preparation process is calculated using the following formula: Among them, y represents the preparation safety value, x u represents the u-th standard index value, x v represents the vth standard indicator value in addition to the uth standard indicator value, σ represents the hyperparameter, and w u 、w' u Represents x u Two Lagrange multipliers of different sizes, m represents the number of standard index values, and b represents the bias; The preparation safety value is weighted and summed using the stage weight value to obtain a safety monitoring score; The safety monitoring result corresponding to the preparation process is identified by the safety monitoring score.

10. A safety monitoring system for the preparation of silicene heating materials based on the entire life cycle, It is characterized in that The system comprises: A cycle determination module, used to collect the preparation process of the silicene heating material, and use the preparation process to determine the full life cycle of the silicene heating material, wherein the full life cycle includes a production stage, a processing stage, and a transportation stage; A location extraction module is used to collect historical accident data occurring during the entire life cycle, query the historical accident locations and historical accident categories during the entire life cycle from the historical accident data, obtain the preparation space area corresponding to the entire life cycle, select the safety monitoring device within the preparation space area according to the historical accident category, and extract the target accident location corresponding to the safety monitoring device from the historical accident location; A position allocation module, for analyzing the coordinated coupling within the preparation space area based on the safety monitoring device, arranging the number of monitoring devices of the safety monitoring device within the preparation space area by using the coordinated coupling, and allocating the safety monitoring position of the safety monitoring device within the preparation space area based on the number of monitoring devices and the target accident location; a value collection module, used to query the number of historical accidents in the whole life cycle from the historical accident data, set the value collection frequency of the safety monitoring device based on the number of historical accidents, and collect the safety monitoring value corresponding to the whole life cycle by using the safety monitoring device and the value collection frequency after installing the safety monitoring device at the safety monitoring position according to the number of monitoring devices; A safety monitoring module is used to divide the indicator extraction interval of the safety monitoring value, extract the monitoring indicator value corresponding to the entire life cycle from the safety monitoring value within the indicator extraction interval, assign stages to the entire life cycle to obtain stage weight values, and identify the safety monitoring results corresponding to the preparation process based on the monitoring indicator value and the stage weight value.

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