Power transmission line deep foundation pit environment safety situation awareness method and device based on spatial coupling, storage medium and terminal

Abstract

The application provides a power transmission line deep foundation pit environment safety situation awareness method and device based on spatial coupling, a storage medium and a terminal, wherein the method comprises the following steps: acquiring vital sign parameters of a worker, acquiring environmental gas concentrations, environmental temperatures and environmental humidities of all mixed gases and environmental monitoring nodes; acquiring distances between the worker and each of the mixed gases and the environmental monitoring nodes, and acquiring a gas concentration corresponding to a position of the worker based on all the environmental gas concentrations and corresponding distances as a working gas concentration; inputting the vital sign parameters of the worker and the working gas concentration into a vital sign prediction model for prediction to acquire vital sign parameters after being affected by the gas; and comparing the vital sign parameters after being affected by the gas with a normal range of the vital sign parameters to output a risk warning signal. The application can improve the safety of the worker in the power transmission line deep foundation pit environment.

Description

Technical Field

[0001] This invention belongs to the field of transmission line operation safety and environmental monitoring technology, and relates to a method for environmental safety situation perception of deep foundation pits of transmission lines based on spatial coupling, and particularly relates to a method, device, storage medium and terminal for environmental safety situation perception of deep foundation pits of transmission lines based on spatial coupling. Background Technology

[0002] Deep foundation pit underground operations are an unavoidable and critical task in the maintenance and construction of power transmission lines. These operations typically involve confined spaces such as deep foundation pits, power line tunnels, and cable wells. Due to the underground nature of these environments, their enclosed spaces and poor ventilation pose threats to the safety of workers. For example, insufficient oxygen and the accumulation of toxic and harmful gases are common safety hazards. This complex underground working environment places higher demands on monitoring and safety management.

[0003] However, existing technologies mainly rely on single gas detection devices or local environmental parameter monitoring methods. These methods cannot provide comprehensive environmental information and are insufficient for effectively assessing the overall risks to workers. This limitation leads to the inability to detect life-threatening environmental changes in a timely manner, severely restricting the improvement of safety protection capabilities. Summary of the Invention

[0004] The purpose of this invention is to provide a method, device, storage medium and terminal for environmental safety situation perception of deep foundation pits of transmission lines based on spatial coupling, in order to solve the technical problems of insufficient environmental safety monitoring and low safety protection capabilities in the prior art.

[0005] In a first aspect, the present invention provides a method for environmental safety situation awareness of deep foundation pits for transmission lines based on spatial coupling, comprising:

[0006] Acquire vital signs of workers, and acquire ambient gas concentrations, ambient temperature, and ambient humidity at all mixed gas and environmental monitoring nodes;

[0007] The distance between the operator and each of the mixed gas and environmental monitoring nodes is obtained, and the gas concentration corresponding to the operator's location is obtained based on all the environmental gas concentrations and the corresponding distances to serve as the working gas concentration;

[0008] The vital signs parameters of the workers and the concentration of the working gas are input into the vital signs prediction model for prediction, so as to obtain the vital signs parameters after being affected by the gas.

[0009] The vital signs parameters after being affected by the gas are compared with the normal range of vital signs parameters to output a risk warning signal;

[0010] The vital signs parameters of the workers include heart rate, blood oxygen saturation, and respiratory rate.

[0011] In one embodiment of the present invention, obtaining the gas concentration corresponding to the location of the operator as the working gas concentration based on all the ambient gas concentrations and the corresponding distances includes:

[0012]

[0013] Among them, C i (t) represents the concentration of the i-th mixed gas and the environmental gas at the environmental monitoring node, d i The distance between the i-th mixed gas and environmental monitoring node and the operator is represented by K, where K represents the preset interpolation parameter, and C represents the distance between the i-th node and the environmental monitoring node. p (t) represents the concentration of the working gas.

[0014] In one embodiment of the present invention, the vital signs prediction model includes:

[0015]

[0016] RR pred (t+Δt)=α RR ·ln(1+β RR ·C P (t))+γ RR ·RR(t)

[0017] Among them, HR pred (t+Δt) represents the predicted heart rate, SpO pred (t+Δt) represents the predicted blood oxygen saturation value, RR pred (t+Δt) represents the predicted respiratory rate, C0 represents the safe gas concentration threshold, HR(t) represents the heart rate, SpO(t) represents the blood oxygen saturation, RR(t) represents the respiratory rate, and C p (t) represents the concentration of the working gas, and α, β, and γ represent the fitting coefficients in the vital signs prediction model.

[0018] In one embodiment of the present invention,

[0019] The gas concentration at the location of the worker is obtained based on all the aforementioned ambient gas concentrations and corresponding distances, including:

[0020] The initial gas concentration corresponding to the location of the operator is obtained based on all the ambient gas concentrations and the corresponding distances.

[0021] The initial gas concentration is corrected, and the corrected gas concentration is used as the gas concentration corresponding to the position of the operator.

[0022] Correcting the initial gas concentration includes:

[0023]

[0024]

[0025] in, C represents the corrected gas concentration. p (t) represents the initial gas concentration, T p (t) represents temperature, H p (t) represents humidity, α1, β1, α2, β2 represent correction coefficients, T0 represents the temperature safety threshold, and H0 represents the humidity safety threshold.

[0026] In one embodiment of the present invention,

[0027] The process of comparing the vital signs parameters after being affected by the gas with their normal range to output a risk warning signal includes:

[0028] The vital signs parameters after being affected by different types of gases are calculated and compared with the normal range of vital signs parameters to obtain the corresponding amount of change from the normal range.

[0029] Obtain the weighted sum of all deviations from the normal range as the risk value;

[0030] The risk value is compared with a preset risk threshold. If the risk value exceeds the preset risk threshold, a risk warning signal is output.

[0031] In one embodiment of the present invention,

[0032] The lead time for issuing risk warning signals is:

[0033]

[0034] Where R(t) represents the risk value, R threshold This indicates a preset risk threshold. Δt represents the rate of change of the risk value over time. pre It indicates lead time.

[0035] In one embodiment of the present invention,

[0036] If the risk value is between the first risk threshold and the second risk threshold, a low-risk warning signal is output.

[0037] If the risk value is between the second risk threshold and the third risk threshold, a risk warning signal for medium risk warning will be output.

[0038] If the risk value is between the third risk threshold and the fourth risk threshold, a high-risk warning signal will be output.

[0039] The preset risk thresholds include a first risk threshold, a second risk threshold, a third risk threshold, and a fourth risk threshold that increase sequentially, and the risk warning signals include low-risk warnings, medium-risk warnings, and high-risk warnings.

[0040] Secondly, the present invention also provides a spatially coupled environmental safety situation awareness device for deep foundation pits of transmission lines, characterized in that it comprises:

[0041] The data acquisition module is used to obtain the vital signs of the workers and to obtain the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes;

[0042] The concentration calculation module is used to obtain the distance between the operator and each of the mixed gas and environmental monitoring nodes, and to obtain the gas concentration corresponding to the operator's position based on all the environmental gas concentrations and the corresponding distances, as the working gas concentration;

[0043] The vital signs prediction module is used to input the vital signs parameters of the workers and the concentration of the working gas into the vital signs prediction model for prediction, so as to obtain the vital signs parameters after being affected by the gas.

[0044] The risk warning module is used to compare the vital signs parameters after being affected by the gas with the normal range of vital signs parameters, so as to output a risk warning signal;

[0045] The vital signs parameters of the workers include heart rate, blood oxygen saturation, and respiratory rate.

[0046] Thirdly, the present invention also provides a storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for environmental safety situation awareness of deep foundation pits for power transmission lines based on spatial coupling.

[0047] Fourthly, the present invention also provides a terminal, including a processor and a memory, wherein the memory and the processor are communicatively connected;

[0048] The memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that the terminal executes the spatially coupled method for environmental safety situation awareness of deep foundation pits for power transmission lines as described above.

[0049] As described above, the method, device, storage medium, and terminal for environmental safety situation awareness in deep foundation pits of transmission lines based on spatial coupling described in this invention have the following beneficial effects:

[0050] This invention couples ambient gas concentration, node distance calculation, and vital signs to obtain the concentration of working gas based on mixed gas and environmental monitoring node data. Based on the working gas concentration, it predicts the vital signs parameters of workers after being affected by the gas, and can dynamically assess the safety status of workers and issue risk warning signals, thereby ensuring the safety of underground confined space operations. Attached Figure Description

[0051] Figure 1 A flowchart illustrating the method for environmental safety situation awareness of deep foundation pits for power transmission lines based on spatial coupling, as described in an embodiment of the present invention, is shown.

[0052] Figure 2 This diagram illustrates data acquisition in the spatial coupling-based method for environmental safety situation awareness in deep foundation pits of transmission lines, as described in an embodiment of the present invention.

[0053] Figure 3 This diagram illustrates the acquisition of operational gas concentration in the spatial coupling-based method for environmental safety situation awareness in deep foundation pits of transmission lines, as described in an embodiment of the present invention.

[0054] Figure 4 The diagram illustrates the process of outputting risk warning signals based on vital sign parameters after being affected by gas in the spatially coupled deep foundation pit environmental safety situation perception method for transmission lines according to an embodiment of the present invention.

[0055] Figure 5 A schematic diagram of the structure of the environmental safety situation awareness device for deep foundation pits of transmission lines based on spatial coupling, as described in an embodiment of the present invention, is shown.

[0056] Figure 6 A schematic diagram of the terminal according to an embodiment of the present invention is shown. Detailed Implementation

[0057] The following specific examples illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through other different specific embodiments, and various details in this specification can also be modified or changed based on different viewpoints and applications without departing from the spirit of the present invention. It should be noted that, unless otherwise specified, the following embodiments and features described therein can be combined with each other.

[0058] The following will elaborate on the principles and implementation methods of the spatially coupled method and device for environmental safety situation perception of deep foundation pits for transmission lines, storage medium and terminal based on spatial coupling in this embodiment, so that those skilled in the art can understand the spatially coupled method and device for environmental safety situation perception of deep foundation pits for transmission lines, storage medium and terminal based on spatial coupling in this embodiment without creative labor.

[0059] To address the aforementioned technical problems in the existing technology, this invention provides a method for environmental safety situation awareness in deep foundation pits of transmission lines based on spatial coupling.

[0060] Figure 1 This diagram illustrates a flowchart of the method for environmental safety situation awareness in deep foundation pits of transmission lines based on spatial coupling, as described in an embodiment of the present invention. (Refer to...) Figure 1 As shown, the method for environmental safety situation awareness of deep foundation pits for transmission lines based on spatial coupling in this embodiment of the invention mainly includes steps S100 to S400.

[0061] Step S100: Obtain the vital signs parameters of the workers, and obtain the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes.

[0062] In this embodiment, the vital signs parameters of the workers include heart rate, blood oxygen saturation, and respiratory rate, which are the initial vital signs data (data before the influence of gases) obtained by the vital signs monitoring sensors. Specifically, the vital signs parameters of the workers are collected in real time. Multiple mixed gas and environmental monitoring nodes are set up in the deep foundation pit of the transmission line to obtain the environmental gas concentration, ambient temperature, and ambient humidity of all mixed gas and environmental monitoring nodes, providing multi-dimensional data to lay the foundation for assessing the risks to the personnel. Changes in environmental gas concentrations can affect vital signs. For example, insufficient oxygen (O2) will lead to a decrease in blood oxygen concentration (SpO2), which in turn will cause an increase in heart rate (HR) and respiratory rate (RR); carbon monoxide (CO) will cause hypoxemia (decreased SpO2) by binding to hemoglobin, and cause difficulty breathing and increased heart rate; toxic gases such as hydrogen sulfide (H2S) will irritate the respiratory tract, leading to increased respiratory rate, heart rate fluctuations, and even damage to the central nervous system. In addition, the higher the ambient temperature, the faster the gas molecules move and the faster the gas diffusion rate. Therefore, the gas concentration gradient will decrease due to high temperature and the gas diffusion range will increase. When the ambient humidity is high, hydrogen sulfide and ammonia will diffuse in the air at a slower rate due to increased solubility. Ambient humidity will also affect the respiratory system of workers, making them more susceptible to harmful gases.

[0063] In one specific embodiment, the present invention obtains the vital signs parameters of the operators and the environmental gas concentration, environmental temperature and environmental humidity of all mixed gases and environmental monitoring nodes in the following manner. Figure 2 This diagram illustrates data acquisition in the spatial coupling-based method for environmental safety situation awareness in deep foundation pits of transmission lines according to an embodiment of the present invention. (Refer to...) Figure 2 As shown, the concentration of the corresponding gas is collected by a gas sensor and then transmitted to the central processing unit via an RS485 bus. Ambient temperature is obtained by a temperature sensor, and ambient humidity is obtained by a humidity sensor. The central processing unit is also connected to a wireless communication module for transmitting the acquired data. Corresponding vital sign parameters are obtained based on three different vital sign monitoring sensors. The gas sensor, temperature sensor, and humidity sensor are installed at the mixed gas and environmental monitoring node, while the vital sign monitoring sensor is installed on the worker, for example, as a wearable device. Optionally, the invention also uses a wind speed sensor to obtain the ambient wind speed.

[0064] Step S200: Obtain the distance between the operator and each mixed gas and environmental monitoring node, and obtain the gas concentration corresponding to the operator's location based on all environmental gas concentrations and the corresponding distances as the operating gas concentration.

[0065] In one specific embodiment, the present invention obtains the working gas concentration based on all mixed gases and environmental monitoring nodes. Figure 3 This diagram illustrates the acquisition of operational gas concentration in the spatially coupled method for environmental safety situation awareness in deep foundation pits of transmission lines, as described in an embodiment of the present invention. (Refer to...) Figure 3 As shown, corresponding mixed gas and environmental monitoring nodes are set at different locations in the deep foundation pit of the transmission line to obtain the corresponding environmental gas concentration and distance from the workers. Different workers are located at different worker vital sign monitoring nodes. Based on all mixed gas and environmental monitoring nodes and spatial distances, the gas concentration corresponding to the worker's location is calculated as the data basis for calculating the risk value.

[0066] Specifically, step S100 acquires the mixed gas and environmental gas concentrations at the environmental monitoring nodes. Step S200 determines the distance between the worker and each mixed gas and environmental monitoring node, providing a spatial basis for calculating the gas concentration at the worker's location. Combining the gas concentration data from the mixed gas and environmental monitoring nodes with the distance between the worker and these nodes, a weighted algorithm or interpolation method is used to calculate the gas concentration at the worker's location, which is then used as the operational gas concentration. In the confined space of deep foundation pit underground work for transmission lines, assuming N mixed gas and environmental monitoring nodes... i Coordinates are (x i ,yi ,z i The position of the operator, P. p Coordinates are (x p ,y p ,z p The following formula should be used to calculate the spatial distance between the mixed gas and environmental monitoring nodes and the operators:

[0067]

[0068] Where, d i N represents the mixed gas and environmental monitoring node. i The distance between the location of the worker and the location of the operator.

[0069] Optionally, interpolation is used to obtain the gas concentration corresponding to the worker's location. In a confined space, the ambient gas concentration has an inverse distance-weighted relationship with distance. Based on all ambient gas concentrations and their corresponding distances, the gas concentration corresponding to the worker's location is obtained as the operational gas concentration, including:

[0070]

[0071] Among them, C i (t) represents the concentration of the i-th mixed gas and the environmental gas at the environmental monitoring node, d i The distance between the i-th mixed gas and environmental monitoring node and the operator is represented by K, where K represents the preset interpolation parameter, and C represents the distance between the i-th node and the environmental monitoring node. p (t) represents the concentration of the working gas. This method takes into account the distance factor and combines data from multiple mixed gases and environmental monitoring nodes to accurately obtain the ambient gas concentration corresponding to the location of the operator. At the same time, since it is calculated based on different mixed gases and the distribution of environmental monitoring nodes, it meets the needs of dynamic environmental monitoring and has strong adaptability and real-time performance.

[0072] Optionally, the gas concentration at the location of the operator is also affected by ambient temperature and humidity. This embodiment of the invention provides a method for obtaining the gas concentration by correcting for the gas concentration. Specifically, obtaining the gas concentration at the operator's location based on all ambient gas concentrations and their corresponding distances includes: obtaining an initial gas concentration at the operator's location based on all ambient gas concentrations and their corresponding distances; correcting the initial gas concentration to obtain the corrected gas concentration as the gas concentration at the operator's location. That is, first, the gas concentration at the operator's location is obtained based on the above formula using distance (as the initial gas concentration), and then the initial gas concentration is corrected using ambient temperature and humidity to obtain the corrected gas concentration as the gas concentration at the operator's location (i.e., the final operational gas concentration). The correction of the initial gas concentration includes:

[0073]

[0074] in, C represents the corrected gas concentration. p (t) represents the initial gas concentration, T p (t) represents temperature, H p (t) represents humidity, α1, β1, α2, and β2 represent correction coefficients, T0 represents the temperature safety threshold, and H0 represents the humidity safety threshold. The above embodiment adds correction for gas concentration, thus obtaining more accurate operational gas concentrations and significantly improving the reliability of subsequent risk assessments.

[0075] Step S300: Input the vital signs parameters of the workers and the concentration of the working gas into the vital signs prediction model for prediction, so as to obtain the vital signs parameters after being affected by the gas.

[0076] The vital signs parameters after being affected by the gas, that is, the vital signs data of the worker after being affected by the gas (data after being affected by the gas) predicted by the vital signs prediction model. In this embodiment of the invention, the vital signs prediction model models the impact of the working gas concentration on vital signs by taking input data (the worker's vital signs parameters and the concentration of the working gas). The model generates corresponding predicted values ​​based on the different effects of gas concentration on heart rate, blood oxygen saturation, and respiratory rate, which are used as vital signs parameters after being affected by the gas, thus quantifying the dynamic impact of the working gas concentration on the worker's vital signs parameters. Those skilled in the art can select an appropriate model to construct a vital signs prediction model based on the above inputs and outputs according to actual needs.

[0077] Optionally, embodiments of the present invention construct a vital signs prediction model based on a nonlinear regression model. Specifically, the vital signs prediction model includes:

[0078]

[0079] RR pred (t+Δt)=α RR ·ln(1+β RR ·C P (t))+γ RR ·RR(t)

[0080] Among them, HR pred (t+Δt) represents the predicted heart rate, SpO pred (t+Δt) represents the predicted blood oxygen saturation value, RR pred (t+Δt) represents the predicted respiratory rate, C0 represents the safe gas concentration threshold, HR(t) represents the heart rate, SpO(t) represents the blood oxygen saturation, RR(t) represents the respiratory rate, and Cp (t) represents the concentration of the working gas, and α, β, and γ represent the fitting coefficients in the vital signs prediction model. More specifically, α HR α represents the first fitting coefficient used to obtain the heart rate prediction value. SpO α represents the second fitting coefficient used to obtain the predicted blood oxygen saturation value. RR β represents the third fitting coefficient used to obtain the predicted respiratory rate values. HR β represents the fourth fitting coefficient used to obtain heart rate predictions. SpO β represents the fifth fitting coefficient used to obtain the predicted blood oxygen saturation value. RR γ represents the sixth fitting coefficient used to obtain the predicted respiratory rate values. HR γ represents the autocorrelation coefficient of heart rate. SpO γ represents the autocorrelation coefficient of blood oxygen saturation. RR This represents the autocorrelation coefficient of respiratory rate.

[0081] It should be noted that different vital sign parameters, such as heart rate, blood oxygen saturation, and respiratory rate, are controlled by different physiological mechanisms. Therefore, their responses to gas concentration and environmental variables differ. In the vital sign prediction model based on nonlinear regression described in this invention, different nonlinear regression models are used to predict different vital sign parameters to ensure prediction accuracy. Firstly, heart rate, as a vital sign, typically does not change significantly in the initial stage of a slow increase in gas concentration. However, when the gas concentration reaches a certain critical point (i.e., the safety threshold C0), the heart rate rises rapidly. Therefore, this embodiment of the invention uses the Sigmoid function to describe this nonlinear response. The change in heart rate shows a rapid increase when the gas concentration approaches the threshold, while the change is smaller at lower concentrations, exhibiting a "stable-sudden increase-saturation" characteristic. The Sigmoid function can effectively capture this gradual response process. Furthermore, γ... HR • HR(t) characterizes the autocorrelation of heart rate. Even when the concentration of ambient gases changes, heart rate is still affected by its previous state, exhibiting hysteresis and inertia. Therefore, this embodiment of the invention, based on the influence of gas concentration and historical heart rate, utilizes the Sigmoid function to accurately predict heart rate. Secondly, blood oxygen saturation is closely related to gas concentration (especially oxygen and carbon dioxide concentration). When the concentration of harmful gases increases, blood oxygen saturation drops rapidly, and this drop is usually exponential. This embodiment of the invention uses an exponential decay function to represent the negative impact of increased gas concentration on blood oxygen saturation, especially at high concentrations where the rate of decrease in SpO2 accelerates. Furthermore, blood oxygen saturation is also affected by previous states; therefore, γ is added. SpOThe SpO(t) term, this prediction method effectively simulates the characteristic that blood oxygen saturation does not immediately return to normal in a short period of time, but has a certain delay and inertia. Thirdly, the respiratory rate's response to gas concentration is often relatively linear, but the change is not significant at low gas concentrations. As the concentration increases, the respiratory rate gradually accelerates, but this acceleration process tends to saturate. Therefore, this embodiment of the invention uses a logarithmic function to predict the respiratory rate, which can better reflect the gradual response of the respiratory rate to gas concentration; that is, as the concentration increases, the rate of increase in respiratory rate becomes slower and slower. Furthermore, like other vital signs, the respiratory rate has a time delay effect and will not fluctuate significantly in a short period of time. Therefore, the second term γ in the formula... RR •RR(t) is used to represent the inertial effect of respiratory rate. It should be noted that α, β, and γ in the formula are fitting coefficients, obtained by training the above model using historical data. The main improvement of this invention lies in the design of the vital sign prediction model based on a nonlinear regression model, rather than the training method. Fitting nonlinear models is existing technology in this field and will not be elaborated upon here.

[0082] In summary, this invention, based on a nonlinear regression model, uses the concentration of the working gas and the current vital signs (heart rate, blood oxygen saturation, and respiratory rate) of the workers for prediction. It not only establishes corresponding nonlinear regression models based on the characteristics of different vital signs to simulate the nonlinear response of these parameters to the concentration of the working gas, but also considers the autocorrelation coefficients of the vital signs. Changes in vital signs are not instantaneous but have a certain time lag and inertia. This lag effect is reflected in this invention through historical data and autocorrelation coefficients, ensuring that the prediction combines the current state and historical data, making the model more consistent with reality. Therefore, the embodiments of this invention can improve the reliability of the predicted values, facilitate the timely detection of changes in the vital signs of workers, and are suitable for safety risk assessment in complex environments.

[0083] Optionally, embodiments of the present invention further include correcting the vital sign parameters predicted by the vital sign prediction model after the influence of the gas. Specifically, the vital sign parameters of the worker and the concentration of the working gas are input into the vital sign prediction model for prediction, to obtain the vital sign parameters after the influence of the gas, including:

[0084] The vital signs parameters of the workers and the concentration of the working gas are input into the vital signs prediction model for prediction, outputting the corresponding initial vital signs parameters affected by the gas. The initial vital signs parameters affected by the gas are then corrected, and the corrected vital signs parameters are used as the vital signs parameters after the gas exposure. Specifically, the correction of the initial vital signs parameters affected by the gas includes:

[0085] The difference between the initial vital signs parameters affected by the gas and the corresponding vital signs parameters of the workers is obtained as the vital signs difference; if the vital signs difference exceeds the preset vital signs difference threshold, the initial vital signs parameters affected by the gas are updated as follows:

[0086] V corr (t+Δt)=(1-λ)·V pred (t)+λ·V(t)

[0087] Among them, V corr (t+Δt) represents the corrected vital signs parameters affected by gas, V pred V(t) represents the initial vital signs parameters affected by the gas, V(t) represents the vital signs parameters of the worker (i.e., the real-time acquired vital signs data), and λ represents the correction coefficient. V(t) = [HR(t), SpO2(t), RR(t)] T Specifically, this is the transpose of the matrix composed of heart rate, blood oxygen saturation, and respiratory rate. Those skilled in the art can adjust the value of λ according to actual needs. The above correction adjusts the smoothing factor and combines it with real-time data from the operator to correct the predicted values ​​of the three vital signs parameters, thereby outputting more accurate vital signs parameters affected by the gas.

[0088] Step S400: Compare the vital signs parameters after being affected by the gas with the normal range of vital signs parameters to output a risk warning signal.

[0089] Specifically, step S400 determines whether the worker is in a dangerous state by comparing the vital signs parameters after being affected by the gas with their normal ranges, and generates a risk warning signal. This step effectively combines the output of the vital signs prediction model with the comparison results of the normal ranges to generate timely risk warning signals, thereby ensuring the safety of the worker. Those skilled in the art can dynamically adjust the normal ranges and risk level thresholds according to different personnel and different working environments.

[0090] Optionally, this invention further quantifies and refines the risk assessment of vital sign parameters by introducing the calculation of deviations from the normal range and weighted summation. Specifically, Figure 4 This diagram illustrates the process of outputting risk warning signals based on vital sign parameters after being affected by gas in the spatially coupled deep foundation pit environmental safety situation perception method for transmission lines according to an embodiment of the present invention. (Refer to...) Figure 4 As shown, comparing vital sign parameters after exposure to gas with their normal range to output a risk warning signal includes the following steps:

[0091] Step S401: Calculate the vital signs parameters after different types of gas exposure and their normal range to obtain the corresponding deviation from the normal range.

[0092] Specifically, please refer to the following formula:

[0093]

[0094] Where ΔX represents the deviation of any type of vital sign parameter from the normal range after being affected by a gas, [X min X max This indicates the normal range of vital signs parameters after being affected by the gas.

[0095] Step S402: Obtain the weighted sum of all deviations from the normal range as the risk value.

[0096] Specifically, please refer to the following formula:

[0097] R(t)=ω1·ΔHR(t)+ω2·ΔSpO(t)+ω3·ΔRR(t)

[0098] Wherein, ΔHR(t) represents the change in heart rate relative to the normal range after being affected by the gas, ΔSpO(t) represents the change in blood oxygen saturation relative to the normal range after being affected by the gas, and ΔRR(t) represents the change in respiratory rate relative to the normal range after being affected by the gas. ω1, ω2, and ω3 are the weights corresponding to the vital signs parameters after being affected by different gases, used to indicate the importance of these vital signs in risk assessment.

[0099] Step S403: Compare the risk value with the preset risk threshold. If the risk value exceeds the preset risk threshold, output a risk warning signal.

[0100] Specifically, if the risk value exceeds the risk threshold, a risk warning signal is output; otherwise, no risk warning signal is required. The above steps, through quantitative calculation and comparison of risk values, achieve a refined correlation between vital sign parameters and risk warning signals. The weighted summation of multiple parameters avoids the risk of false alarms or missed alarms caused by a single parameter anomaly.

[0101] Optionally, the lead time for outputting the risk warning signal is:

[0102]

[0103] Where R(t) represents the risk value, R threshold This indicates a preset risk threshold. Δt represents the rate of change of the risk value over time. preThis represents the lead time. When a risk value approaches a preset risk threshold, the rate of change of the risk value over time is used to determine how much time will pass before the risk threshold is reached, thus outputting the lead time. A larger rate of change results in a shorter lead time; conversely, a smaller rate of change results in a longer lead time, allowing for a longer period to issue a warning. This formula can be used to dynamically monitor risk values ​​in an environment, calculate lead times, and implement timely response measures based on changes in risk values ​​over time.

[0104] Optionally, embodiments of the present invention include a multi-level early warning mechanism. Specifically, if the risk value is between a first risk threshold and a second risk threshold, a low-risk warning signal is output; if the risk value is between the second and third risk thresholds, a medium-risk warning signal is output; and if the risk value is between the third and fourth risk thresholds, a high-risk warning signal is output. The preset risk thresholds include sequentially increasing first, second, third, and fourth risk thresholds, and the risk warning signals include low-risk, medium-risk, and high-risk warnings. Specifically, a low-risk warning indicates that the working environment and personnel vital signs are within a safe range, requiring no special handling. A medium-risk warning indicates that the gas concentration or vital signs are approaching a dangerous threshold, prompting personnel to pay attention and activating an alarm. A high-risk warning indicates that the total risk has reached a high-risk level, requiring immediate action, such as evacuating personnel or activating ventilation equipment. A low-risk warning indicates slight changes in vital signs and minimal impact of environmental factors on personnel safety; the system provides a mild alert to remind workers to be cautious. A medium-risk warning indicates significant changes in vital signs and gas concentration reaching a certain threshold; the system issues a medium-level warning signal, advising personnel to adjust their work environment or operating procedures. A high-risk warning indicates drastic changes in vital signs and gas concentration exceeding safe limits; the system immediately issues an alarm, instructing workers to evacuate quickly.

[0105] The scope of protection of the spatially coupled deep foundation pit environmental safety situation perception method for transmission lines in this embodiment is not limited to the execution order of the steps listed in this embodiment. Any solution implemented by adding, subtracting, or replacing steps in the prior art based on the principle of this invention is included within the scope of protection of this invention.

[0106] The spatially coupled environmental safety situational awareness method for deep foundation pits of power transmission lines in this invention couples environmental gas concentration, node distance calculation, and vital signs. It acquires the operational gas concentration based on mixed gas and environmental monitoring node data, and predicts the vital signs of workers affected by the gas based on the operational gas concentration. This dynamically assesses the safety status of workers and issues risk warning signals, thereby ensuring the safety of underground confined space operations. Simultaneously, a nonlinear regression model is introduced to construct a vital signs prediction model to predict the complex impact of gas concentration on vital signs, thus more accurately reflecting the safety status within the confined space.

[0107] To address the aforementioned technical problems in the prior art, this invention also provides a spatially coupled environmental safety situational awareness device for deep foundation pits of power transmission lines.

[0108] Figure 5 This diagram illustrates the structure of the spatially coupled deep foundation pit environmental safety situational awareness device for transmission lines according to an embodiment of the present invention. (Refer to...) Figure 5 As shown, the spatially coupled deep foundation pit environmental safety situational awareness device for transmission lines according to an embodiment of the present invention includes:

[0109] The data acquisition module is used to obtain the vital signs of the workers and to obtain the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes;

[0110] The concentration calculation module is used to obtain the distance between the operator and each of the mixed gas and environmental monitoring nodes, and to obtain the gas concentration corresponding to the operator's position based on all the environmental gas concentrations and the corresponding distances, as the working gas concentration;

[0111] The vital signs prediction module is used to input the vital signs parameters of the workers and the concentration of the working gas into the vital signs prediction model for prediction, so as to obtain the vital signs parameters after being affected by the gas.

[0112] The risk warning module is used to compare the vital signs parameters after being affected by the gas with the normal range of vital signs parameters, so as to output a risk warning signal;

[0113] The vital signs parameters of the workers include heart rate, blood oxygen saturation, and respiratory rate.

[0114] The spatially coupled deep foundation pit environmental safety situational awareness device for transmission lines in this embodiment of the invention couples environmental gas concentration, node distance calculation, and vital signs. It obtains the concentration of working gas based on mixed gas and environmental monitoring node data, and predicts the vital signs parameters of workers after being affected by the gas based on the working gas concentration. It can dynamically assess the safety status of workers and issue risk warning signals, thereby ensuring the safety of underground confined space operations.

[0115] To address the aforementioned technical problems in the prior art, this embodiment of the invention also provides a storage medium storing a computer program, characterized in that, when executed by a processor, the program implements all steps of the embodiment's method for environmental safety situation awareness of deep foundation pits for power transmission lines based on spatial coupling.

[0116] The specific steps of the method for environmental safety situation awareness of deep foundation pits for transmission lines based on spatial coupling, as well as the beneficial effects obtained by applying the readable storage medium provided in the embodiments of the present invention, are the same as those in the above embodiments, and will not be repeated here.

[0117] Those skilled in the art will understand that all or part of the steps in the methods of the above embodiments can be implemented by a program instructing a processor. The program can be stored in a computer-readable storage medium, which is a non-transitory medium, such as random access memory, read-only memory, flash memory, hard disk, solid-state drive, magnetic tape, floppy disk, optical disk, and any combination thereof. The storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. This available medium can be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., digital video disc (DVD)), or a semiconductor medium (e.g., solid-state drive (SSD)).

[0118] To address the aforementioned technical problems in the prior art, embodiments of the present invention also provide a terminal. Figure 6 A schematic diagram of the terminal structure according to an embodiment of the present invention is shown. (Refer to...) Figure 6 As shown, the terminal in this embodiment of the invention includes a processor and a memory, and the memory and the processor are communicatively connected; the memory is used to store computer programs, and the processor is used to execute the computer programs stored in the memory, so that the terminal executes all the steps of the above embodiment of the method for environmental safety situation awareness of deep foundation pits of transmission lines based on spatial coupling.

[0119] The specific steps of the spatial coupling-based method for environmental safety situation awareness in deep foundation pits of transmission lines, as well as the beneficial effects obtained by the terminal provided in this embodiment, are the same as those in the above embodiments, and will not be repeated here.

[0120] It should be noted that the memory may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk storage device. Similarly, the processor can be a general-purpose processor, including a central processing unit (CPU), a network processor (NP), etc.; it can also be a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components.

[0121] While the embodiments disclosed in this invention are as described above, the content is merely for the purpose of facilitating understanding of the invention and is not intended to limit the invention. Any person skilled in the art to which this invention pertains may make any modifications and changes in form and detail of the implementation without departing from the spirit and scope disclosed herein; however, the scope of protection of this invention shall still be determined by the scope defined in the appended claims.

Claims

1. A method for environmental safety situation awareness in deep foundation pits of transmission lines based on spatial coupling, comprising: Acquire vital signs of workers, and acquire ambient gas concentrations, ambient temperature, and ambient humidity at all mixed gas and environmental monitoring nodes; The distance between the operator and each of the mixed gas and environmental monitoring nodes is obtained, and the gas concentration corresponding to the operator's location is obtained based on all the environmental gas concentrations and the corresponding distances to serve as the working gas concentration; The vital signs parameters of the workers and the concentration of the working gas are input into the vital signs prediction model for prediction, so as to obtain the vital signs parameters after being affected by the gas. The vital signs parameters after being affected by the gas are compared with the normal range of vital signs parameters to output a risk warning signal; The vital signs parameters of the workers include heart rate, blood oxygen saturation, and respiratory rate; the vital signs prediction model includes: ; ; ; in, This represents the predicted heart rate. This represents the predicted blood oxygen saturation value. This represents the predicted respiratory rate. Indicates the safe gas concentration threshold. Indicates heart rate, Indicates blood oxygen saturation. Indicates respiratory rate, The concentration of the working gas is represented by α, β, and γ, which are the fitting coefficients in the vital signs prediction model.

2. The method according to claim 1, characterized in that, Based on all the aforementioned ambient gas concentrations and corresponding distances, the gas concentration at the location of the operator is obtained as the operational gas concentration, including: ; in, Indicates the first The environmental gas concentration at each mixed gas and environmental monitoring node Indicates the first The distance between each gas mixture and environmental monitoring node and the operator, where K represents the preset interpolation parameter. Indicates the concentration of the working gas.

3. The method according to claim 1, characterized in that, The gas concentration at the location of the worker is obtained based on all the aforementioned ambient gas concentrations and corresponding distances, including: The initial gas concentration corresponding to the location of the operator is obtained based on all the ambient gas concentrations and the corresponding distances. The initial gas concentration is corrected, and the corrected gas concentration is used as the gas concentration corresponding to the position of the operator. Correcting the initial gas concentration includes: ; ; in, This indicates the corrected gas concentration. Indicates the initial gas concentration. Indicates temperature. Indicates humidity. , , , This represents the correction factor. Indicates the temperature safety threshold. This indicates the safe humidity threshold.

4. The method according to claim 1, characterized in that, The process of comparing the vital signs parameters after being affected by the gas with their normal range to output a risk warning signal includes: The vital signs parameters after being affected by different types of gases are calculated and compared with the normal range of vital signs parameters to obtain the corresponding amount of change from the normal range. Obtain the weighted sum of all deviations from the normal range as the risk value; The risk value is compared with a preset risk threshold. If the risk value exceeds the preset risk threshold, a risk warning signal is output.

5. The method according to claim 4, characterized in that, The lead time for issuing risk warning signals is: ; in, Indicates the risk value. This indicates a preset risk threshold. This represents the rate of change of the risk value over time. It indicates lead time.

6. The method according to claim 4, characterized in that, If the risk value is between the first risk threshold and the second risk threshold, a low-risk warning signal is output. If the risk value is between the second risk threshold and the third risk threshold, a risk warning signal for medium risk warning will be output. If the risk value is between the third risk threshold and the fourth risk threshold, a high-risk warning signal will be output. The preset risk thresholds include a first risk threshold, a second risk threshold, a third risk threshold, and a fourth risk threshold that increase sequentially, and the risk warning signals include low-risk warnings, medium-risk warnings, and high-risk warnings.

7. A spatially coupled environmental safety situational awareness device for deep foundation pits of transmission lines, comprising: The data acquisition module is used to obtain the vital signs of the workers and to obtain the ambient gas concentration, ambient temperature and ambient humidity of all mixed gases and environmental monitoring nodes; The concentration calculation module is used to obtain the distance between the operator and each of the mixed gas and environmental monitoring nodes, and to obtain the gas concentration corresponding to the operator's position based on all the environmental gas concentrations and the corresponding distances, as the working gas concentration; The vital signs prediction module is used to input the vital signs parameters of the workers and the concentration of the working gas into the vital signs prediction model for prediction, so as to obtain the vital signs parameters after being affected by the gas. The risk warning module is used to compare the vital signs parameters after being affected by the gas with the normal range of vital signs parameters, so as to output a risk warning signal; The vital signs parameters of the workers include heart rate, blood oxygen saturation, and respiratory rate; the vital signs prediction model includes: ; ; ; in, This represents the predicted heart rate. This represents the predicted blood oxygen saturation value. This represents the predicted respiratory rate. Indicates the safe gas concentration threshold. Indicates heart rate, Indicates blood oxygen saturation. Indicates respiratory rate, The concentration of the working gas is represented by α, β, and γ, which are the fitting coefficients in the vital signs prediction model.

8. A storage medium having a computer program stored thereon, characterized in that, When executed by the processor, the program implements the method for environmental safety situation awareness of deep foundation pits for power transmission lines based on spatial coupling, as described in any one of claims 1 to 6.

9. A terminal, characterized in that, The device includes a processor and a memory, the memory being communicatively connected to the processor; the memory is used to store a computer program, and the processor is used to execute the computer program stored in the memory, so that the terminal executes the method for environmental safety situation awareness of deep foundation pits for power transmission lines based on spatial coupling as described in any one of claims 1 to 6.

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