Abnormal early warning method and device, computer equipment, storage medium and program product

Abstract

The invention relates to an abnormity early warning method and device, computer equipment, a storage medium and a program product. Acquiring current gas data of the target area and current physical sign data of the operator in the process that the operator operates in the target area; predicting predicted gas data of the target area in the future time period according to the current gas data, and predicting predicted sign data of the operating personnel in the future time period according to the current sign data; under the condition that the abnormal predicted gas data and / or the abnormal predicted sign data exist in the future time period, alarm information is sent out. According to the scheme, under the condition of determining that the abnormal predicted gas data and / or the abnormal predicted sign data exist in the future time period, the alarm information is sent in advance, sufficient time can be reserved for evacuation of operators, timely rescue of the operators and regulation and control of the gas data, and the life safety of the operators is guaranteed.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an abnormality early warning method, device, computer equipment, storage medium and program product. Background Art

[0002] Confined space refers to a space that is closed or partially closed, with narrow and limited entrances and exits, is not designed as a fixed workplace, has poor natural ventilation, and is prone to the accumulation of toxic and harmful, flammable and explosive substances or insufficient oxygen content. Confined space operations refer to operations carried out by operators entering confined spaces. Operators in confined spaces face great life safety risks.

[0003] In traditional technology, usually only the gas concentration in a limited space is monitored in real time, for example, the gas concentration of oxygen, combustible gas, hydrogen sulfide and carbon monoxide is monitored in real time, and an alarm is issued when the gas concentration exceeds the standard.

[0004] However, when the gas concentration exceeds the standard during the operation of the workers in the confined space, an alarm is issued and the workers cannot evacuate in time, which seriously threatens their lives. Summary of the invention

[0005] Based on this, it is necessary to provide an abnormal warning method, device, computer equipment, storage medium and program product to address the above technical problems, which can issue an alarm before the gas concentration in a confined space exceeds the standard to avoid threatening the life safety of operators.

[0006] In a first aspect, the present application provides an abnormal warning method, comprising:

[0007] When the operator is working in the target area, current gas data of the target area and current vital sign data of the operator are obtained;

[0008] Predicting predicted gas data of the target area in a future period according to the current gas data, and predicting predicted vital sign data of the operator in the future period according to the current vital sign data;

[0009] When it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data within the future period, an alarm message is issued.

[0010] In one embodiment, predicting the predicted gas data of the target area in a future period according to the current gas data, and predicting the predicted vital sign data of the operator in the future period according to the current vital sign data, includes:

[0011] Acquire historical gas data of the target area in a historical period, and historical vital sign data of the operator in the historical period; wherein the historical period includes a continuous period of at least two historical moments adjacent to the current moment;

[0012] Inputting the historical gas data and the current gas data into a first prediction model to obtain predicted gas data of the target area in a future period; wherein the first prediction model is trained based on sample gas data and gas label data in a sample period;

[0013] The historical vital sign data, the current vital sign data, and the predicted gas data are input into a second prediction model to obtain the predicted vital sign data of the operator in the future time period; wherein the second prediction model is trained based on the sample vital sign data and vital sign label data of the sample time period, as well as the gas label data.

[0014] In one embodiment, predicting the predicted gas data of the target area in a future period according to the current gas data includes:

[0015] Obtain weather data for the target area in a future period;

[0016] Determining an influence factor of the weather data on the gas data of the target area;

[0017] The predicted gas data of the target area in a future period is predicted according to the current gas data and the influencing factors.

[0018] In one of the embodiments, when it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data in the future period, issuing an alarm message includes:

[0019] When it is determined that the predicted gas data corresponding to a preset number of consecutive moments in the future time period are abnormal, and / or the predicted vital sign data corresponding to a preset number of consecutive moments in the future time period are abnormal, an alarm message is issued.

[0020] In one embodiment, after issuing the warning information, the method further includes:

[0021] The air in the target area is purified, and / or the gas generation source is eliminated, so that the actual gas data of the target area in the future period is within a preset range.

[0022] In one embodiment, determining that there is abnormal predicted gas data and / or abnormal predicted vital sign data in the future period includes:

[0023] If the product of the predicted gas data and the first correction coefficient is not within a first preset range, determining that there is abnormal predicted gas data in the future period; wherein the first correction coefficient is determined based on the temperature, humidity and air flow velocity in the target area;

[0024] If the product of the predicted vital sign data and the second correction coefficient is not within a second preset range, it is determined that there is abnormal predicted vital sign data in the future time period; wherein the second correction coefficient is determined based on the health data and working time of the operator.

[0025] In a second aspect, the present application also provides an abnormal warning device, comprising:

[0026] An acquisition module, used for acquiring current gas data of the target area and current vital sign data of the operator when the operator is operating in the target area;

[0027] A prediction module, used to predict the predicted gas data of the target area in a future period according to the current gas data, and to predict the predicted vital sign data of the operator in the future period according to the current vital sign data;

[0028] The alarm module is used to issue an alarm message when it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period.

[0029] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0030] When the operator is working in the target area, current gas data of the target area and current vital sign data of the operator are obtained;

[0031] Predicting predicted gas data of the target area in a future period according to the current gas data, and predicting predicted vital sign data of the operator in the future period according to the current vital sign data;

[0032] When it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data within the future period, an alarm message is issued.

[0033] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0034] When the operator is working in the target area, current gas data of the target area and current vital sign data of the operator are obtained;

[0035] Predicting predicted gas data of the target area in a future period according to the current gas data, and predicting predicted vital sign data of the operator in the future period according to the current vital sign data;

[0036] When it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data within the future period, an alarm message is issued.

[0037] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0038] When the operator is working in the target area, current gas data of the target area and current vital sign data of the operator are obtained;

[0039] Predicting predicted gas data of the target area in a future period according to the current gas data, and predicting predicted vital sign data of the operator in the future period according to the current vital sign data;

[0040] When it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data within the future period, an alarm message is issued.

[0041] The above-mentioned abnormal warning method, device, computer equipment, storage medium and program product obtain the current gas data of the target area and the current vital sign data of the operator in the process of the operator performing operations in the target area; predict the predicted gas data of the target area in the future time period based on the current gas data, and predict the predicted vital sign data of the operator in the future time period based on the current vital sign data; and issue an alarm message when it is determined that there are abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period. The above-mentioned scheme predicts the predicted gas data of the target area in the future time period based on the current gas data, and predicts the predicted vital sign data of the operator in the future time period based on the current vital sign data during the process of the operator performing operations in the target area; and issues an alarm message in advance when it is determined that there are abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period, which can reserve sufficient time for the evacuation of the operator, timely rescue of the operator, and regulation of the gas data, thereby ensuring the life safety of the operator. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0043] Figure 1A A schematic diagram of a flow chart of an abnormal warning method in one embodiment;

[0044] Figure 1B A schematic diagram of a data transmission principle in an embodiment;

[0045] Figure 2 A schematic diagram of a process for predicting gas data and vital sign data in a future period in one embodiment;

[0046] Figure 3 A schematic diagram of a process for predicting gas data of a target area in a future period in one embodiment;

[0047] Figure 4 A schematic diagram of a hardware system corresponding to an abnormal warning method in an embodiment;

[0048] Figure 5 A schematic diagram of a flow chart of an abnormal warning method in another embodiment;

[0049] Figure 6 is a structural block diagram of an abnormality warning device in an embodiment;

[0050] Figure 7 FIG. 4 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] The abnormal warning method provided in the embodiment of the present application can be applied to predict the gas data and vital signs data of the operators in the confined space in advance when performing operations in the confined space, so as to avoid application scenarios in which the abnormal gas data threatens the life safety of the operators.

[0053] The method can be executed by a server or a terminal. For example, the current gas data of the target area collected by the collection device and the current vital sign data of the operator can be transmitted to the server or terminal, and the server or terminal predicts the predicted gas data of the target area in the future time period and the predicted vital sign data of the operator, and issues an alarm message when it is determined that there are abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period. The alarm message can be issued on the server side or the terminal side, or on the operator side at the same time, so that the operator can evacuate in time.

[0054] The server may be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal may be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, IoT devices, and portable wearable devices. IoT devices may be smart speakers, smart TVs, smart air conditioners, smart car devices, and projection devices. Portable wearable devices may be smart watches, smart bracelets, head-mounted devices, and the like. Head-mounted devices may be virtual reality (VR) devices, augmented reality (AR) devices, smart glasses, and the like.

[0055] In an exemplary embodiment, Figure 1A As shown, an abnormal warning method is provided, which is described by taking the method applied to a server as an example, and includes the following steps:

[0056] S101, when an operator is working in a target area, current gas data of the target area and current vital sign data of the operator are obtained.

[0057] For example, the target area may be a closed or partially closed space with narrow and limited entrances and exits, which is not designed as a fixed workplace, has poor natural ventilation, and is prone to accumulation of toxic and harmful, flammable and explosive substances or insufficient oxygen content. When the operator is working in the target area, if the gas concentration in the target area is too high or too low, it may affect the health of the operator.

[0058] In order to avoid affecting the health of the workers, the current gas data of the target area and the current vital signs data of the workers can be obtained, and then it can be predicted whether there will be abnormal gas data or vital signs data in the target area in the future period, so that when abnormal gas data or abnormal vital signs data is predicted, timely measures can be taken to avoid harm to the life safety of the workers.

[0059] Among them, the current gas data of the target area may include concentration data of gases such as oxygen, combustible gas, hydrogen sulfide and carbon monoxide; the current vital sign data of the operator may include vital sign parameters such as body temperature, heart rate, blood oxygen, etc.

[0060] For example, a portable wearable device can be used to collect the current gas data of the target area and the current vital sign data of the operator. For example, the portable wearable device can include a non-contact infrared sensor or a wearable temperature patch to monitor the body temperature of the operator in real time to ensure the safety of the operator in high or low temperature environments; it can also include a sensor worn on the wrist or fingertips to monitor the heart rate and blood oxygen saturation to evaluate the physiological state of the operator; it can also integrate a variety of gas sensors to monitor the concentration of gases such as oxygen, combustible gas, hydrogen sulfide and carbon monoxide, so as to monitor the gas concentration in the working environment and ensure the safety of the working environment.

[0061] For example, the portable wearable device collects the current gas data of the target area and the current vital sign data of the operator, and can transmit the collected current gas data of the target area and the current vital sign data of the operator to the server through the Wireless LAN Authentication and Privacy Infrastructure (WAPI) communication terminal and the wireless access point (AP) module, thereby solving the problem of data transmission between limited confined spaces and open spaces.

[0062] For example, see Figure 1B , Figure 1B A schematic diagram of the data transmission principle is provided. Among them, the wireless client (Station, STA) can be a mobile phone, computer and other devices. The AP is similar to a wireless router and is responsible for the access of wireless clients. The authentication server (Authentication Server, AS) performs authentication related work. Data transmission includes the following steps:

[0063] Step 1: Discover security policy: STA sends a request to AP, and AP responds and informs STA of the security policy.

[0064] Step 2: Select a security policy: The STA selects one of the security policies provided by the AP.

[0065] Step 3: Certificate authentication and key management: Certificate authentication and key management are performed between STA and AP, and certificate authentication is also performed between AP and AS.

[0066] Step 4: Key negotiation: The STA and AP perform key negotiation. After successful negotiation, the controlled ports of both parties are opened.

[0067] Step 5: Data protection: After the controlled port is opened, data is transmitted between the STA and the AP, and the data is protected.

[0068] S102, predicting the predicted gas data of the target area in the future time period based on the current gas data, and predicting the predicted vital sign data of the operator in the future time period based on the current vital sign data.

[0069] Exemplarily, the predicted gas data of the target area in the future period can be predicted based on the current gas data and the factors affecting the gas data. The factors affecting the gas data can be the current temperature, humidity and air flow speed in the target area, and the speed at which the gas generating source generates gas, etc. For example, the trend of the gas data in the future period can be determined based on the current gas data and the factors affecting the gas data, and then the predicted gas data of the target area in the future period can be predicted.

[0070] Furthermore, the predicted vital signs data of the operating personnel in the future time period can be predicted based on the current vital signs data and the factors affecting the vital signs data. The factors affecting the vital signs data may be the gas data in the future time period, the health status of the operating personnel and the working time, etc. Therefore, the predicted vital signs data of the operating personnel in the future time period can be predicted based on the current vital signs data and the predicted gas data.

[0071] S103: When it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period, an alarm message is issued.

[0072] Exemplarily, normal ranges for various gas data and normal ranges for various vital sign data can be set based on empirical data. If at least one predicted gas data exceeds the normal range corresponding to the gas data, it is determined that abnormal predicted gas data exists; if at least one predicted vital sign data exceeds the normal range corresponding to the vital sign data, it is determined that abnormal vital sign data exists.

[0073] That is, when it is determined that there is abnormal predicted gas data in the future time period, or abnormal predicted vital sign data, or abnormal predicted gas data and abnormal predicted vital sign data, an alarm message may be issued.

[0074] Exemplarily, the alarm information can be used in one or more ways to warn, for example, one or more ways of sound, light, vibration or information. The alarm information can be sent on the server side, or sent to the operator side, so that the operator can evacuate in time or take safety measures.

[0075] The above-mentioned abnormal warning method obtains the current gas data of the target area and the current vital sign data of the operators during the operation of the target area; predicts the predicted gas data of the target area in the future time period based on the current gas data, and predicts the predicted vital sign data of the operators in the future time period based on the current vital sign data; and issues an alarm message when it is determined that there are abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period. The above-mentioned scheme predicts the predicted gas data of the target area in the future time period based on the current gas data, and predicts the predicted vital sign data of the operators in the future time period based on the current vital sign data during the operation of the target area; and issues an alarm message in advance when it is determined that there are abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period, which can reserve sufficient time for the evacuation of the operators, timely rescue of the operators, and regulation of the gas data, thereby ensuring the life safety of the operators.

[0076] In some optional implementations, the trend of gas data in the target area in the future time period and the trend of the vital signs data of the operators can be predicted to obtain the predicted gas data in the target area and the predicted vital signs data of the operators in the future time period; or a prediction model can be used to predict the predicted gas data in the target area and the predicted vital signs data of the operators in the future time period.

[0077] For example, see Figure 2 , Figure 2 A schematic diagram of a process for predicting gas data and vital sign data in a future period is provided, which specifically includes the following steps:

[0078] S201, obtaining historical gas data of the target area in a historical period, and historical vital sign data of the operators in the historical period.

[0079] The length of the historical period can be set according to actual needs, for example, it can be set to half an hour, and the historical period can be half an hour before the current moment, that is, a continuous period including at least two historical moments adjacent to the current moment.

[0080] For example, a portable wearable device may also be used to collect historical gas data of a target area during a historical period, as well as historical vital sign data of operators during a historical period.

[0081] S202, inputting historical gas data and current gas data into a first prediction model to obtain predicted gas data of a target area in a future period.

[0082] Furthermore, the historical gas data and the current gas data can be input into the first prediction model, and the first prediction model extracts and predicts the features of the gas data to obtain the predicted gas data of the target area in the future period. The first prediction model can be pre-trained based on the sample gas data and gas label data of the sample period.

[0083] S203, inputting the historical vital sign data, the current vital sign data, and the predicted gas data into the second prediction model to obtain the predicted vital sign data of the operator in the future period.

[0084] Exemplarily, the historical vital sign data and the current vital sign data, as well as the predicted gas data, can also be input into the second prediction model, and the second prediction model extracts features of the vital sign data and the gas data, and predicts the vital sign data based on the extracted feature data to obtain the predicted vital sign data of the operator in the future period. The second prediction model can be pre-trained based on the sample vital sign data and the vital sign label data of the sample period, as well as the gas label data.

[0085] Among them, the first prediction model and the second prediction model can be a time series model, a regression model or a deep learning model. For example, the time series model can be an autoregressive integrated moving average model (ARIMA), a long short-term memory network (LSTM), a gated recurrent unit (GRU), etc., and the regression model can use linear regression, random forest, extreme gradient boosting (XGBoost), etc.; the deep learning model can use a deep neural network (DNN) or a convolutional neural network (CNN), etc.

[0086] In the embodiment of the present application, the prediction efficiency can be improved by using a prediction model to predict the predicted gas data of the target area in the future period and the predicted vital sign data of the operators.

[0087] In some optional implementations, considering the impact of weather data on gas data in the target area, when predicting the predicted gas data of the target area in the future period, the impact of weather data on the predicted gas data can be taken into account, which can make the predicted gas data more reliable.

[0088] Based on this, see Figure 3 , Figure 3A schematic diagram of a process for predicting gas data for a target area in a future period is provided, which specifically includes the following steps:

[0089] S301, obtaining weather data of a target area in a future period.

[0090] Exemplarily, the weather data of the target area in the future period can be obtained by accessing a weather application programming interface (Application Programming Interface, API), accessing a meteorological data platform, etc.

[0091] S302, determining the impact factor of weather data on gas data in the target area.

[0092] For example, a statistical method can be used to calculate the correlation coefficient between the weather data and the gas data of the target area, such as the Pearson correlation coefficient, and the determined correlation coefficient is used as the influencing factor. A scatter plot of the weather data and the gas data can also be drawn to determine the influencing factor of the weather data on the gas data of the target area from the distribution form of the scatter plot. The specific method for determining the influencing factor of the weather data on the gas data of the target area is not limited here.

[0093] S303, predicting the predicted gas data of the target area in the future period according to the current gas data and the influencing factors.

[0094] Then, the predicted gas data of the target area in the future period can be predicted based on the current gas data and the influencing factors. For example, the changing trend of the current gas data can be analyzed, and the influencing factors of the gas data of the target area using weather data can be used to correct the changing trend; or, the first prediction model can be used to predict the intermediate gas data based on the current gas data and the historical gas data, and the influencing factors of the gas data of the target area using weather data can be used to correct the predicted intermediate gas data to obtain the predicted gas data of the target area in the future period.

[0095] In the embodiment of the present application, when predicting the predicted gas data of the target area in the future time period, the influence of weather data is taken into account, so that the predicted gas data is more reliable.

[0096] In some optional implementations, in order to avoid misjudgment of abnormal predicted gas data or abnormal predicted vital sign data, abnormal predicted gas data may be considered to exist only when the predicted gas data at multiple consecutive future moments are monitored to be abnormal, and abnormal predicted vital sign data may be considered to exist only when the predicted vital sign data at multiple consecutive future moments are monitored to be abnormal.

[0097] Based on this, when it is determined that there are abnormal predicted gas data corresponding to a preset number of consecutive moments in the future period, it can be considered that there are abnormal predicted gas data; when it is determined that there are abnormal predicted vital sign data corresponding to a preset number of consecutive moments in the future period, it can be considered that there are abnormal predicted vital sign data. The preset number can be set according to actual needs, for example, it can be set to 10 or 5.

[0098] Exemplarily, when it is determined that there are abnormalities in predicted gas data corresponding to a preset number of consecutive moments in a future time period, or when it is determined that there are abnormalities in predicted vital sign data corresponding to a preset number of consecutive moments in a future time period, or when it is determined that there are abnormalities in predicted gas data corresponding to a preset number of consecutive moments in a future time period and there are abnormalities in predicted vital sign data corresponding to a preset number of consecutive moments in a future time period, an alarm message is issued.

[0099] In an embodiment of the present application, abnormal predicted gas data is considered to exist only when there are abnormal predicted gas data corresponding to a preset number of consecutive moments in a future time period; and abnormal predicted vital sign data is considered to exist only when there are abnormal predicted vital sign data corresponding to a preset number of consecutive moments in a future time period. This can avoid misjudgment of abnormal gas data and abnormal vital sign data and improve the accuracy of judgment of abnormal gas data and abnormal vital sign data.

[0100] In some optional implementations, after the alarm information is issued, in order to avoid harm to the vital signs of the operators and to prevent further deterioration of the gas data, the air in the target area can be purified, for example, by turning on the purification device or ventilation; or eliminating the gas source to prevent the concentration of toxic and harmful gases from further increasing. It is also possible to purify the air and eliminate the gas source at the same time, which can more efficiently prevent further deterioration of the gas data.

[0101] In the embodiment of the present application, by purifying the air and eliminating the source of gas generation, further deterioration of gas data can be avoided, thereby avoiding harm to the vital signs data of the operating personnel.

[0102] In some optional implementations, when predicting the predicted gas data and predicted vital sign data in a future time period, the predicted gas data may be affected by the temperature, humidity and air flow velocity in the target area, and the predicted vital sign data may be affected by the health data and operation duration of the operators. Therefore, the predicted gas data can be corrected using the temperature, humidity and air flow velocity in the target area, and the predicted vital sign data can be corrected using the health data and operation duration of the operators.

[0103] Based on this, if the product of the predicted gas data and the first correction coefficient is not within the first preset range, it is determined that there is abnormal predicted gas data in the future period. The first correction coefficient is determined based on the temperature, humidity and air flow velocity in the target area; a statistical method can also be used to calculate the first correction coefficient between the temperature, humidity and air flow velocity in the target area and the gas data, or a scatter plot of the gas data and the temperature, humidity and air flow velocity in the target area is drawn, and the first correction coefficient between the temperature, humidity and air flow velocity in the target area and the gas data is determined from the distribution form of the scatter plot. The first prediction range can be set according to empirical data, and the range represents the gas concentration data range that will not affect the health of the operator.

[0104] Exemplarily, the product of the predicted gas data at each moment in the future time period and the first correction coefficient can be determined. If the product is not within the first preset range, the predicted gas data at that future moment in the future time period is determined to be abnormal. When there are abnormal predicted gas data corresponding to a preset number of consecutive moments in the future time period, it can be determined that there is abnormal predicted gas data.

[0105] If the product of the predicted vital sign data and the second correction coefficient is not within the second preset range, it is determined that there is abnormal predicted vital sign data in the future period. The second correction coefficient is determined based on the health data and operation time of the operator. Similarly, a statistical method can be used to calculate the second correction coefficient between the health data and operation time of the operator and the gas data, or a scatter plot of the gas data, the health data and operation time of the operator is drawn, and the second correction coefficient between the health data and operation time of the operator and the gas data is determined from the distribution form of the scatter plot. The second prediction range can be set according to empirical data, and the range represents the normal vital sign data of the operator. The health data of the operator may include age, physical fitness, health status, adaptability to the environment, etc.

[0106] Exemplarily, the product of the predicted vital sign data at each moment in the future time period and the second correction coefficient can be determined. If the product is not within the second preset range, the predicted vital sign data at the future moment in the future time period is determined to be abnormal. When there are abnormal predicted vital sign data corresponding to a preset number of consecutive moments in the future time period, it can be determined that there are abnormal predicted vital sign data.

[0107] In the embodiment of the present application, the reliability of the predicted gas data and the predicted vital sign data can be improved by using the first correction coefficient to correct the predicted gas data and the second correction coefficient to correct the predicted vital sign data.

[0108] In some optional implementations, see Figure 4 , Figure 4 A hardware system schematic diagram corresponding to an abnormal warning method is provided. Among them, portable wearable devices can be used to monitor the vital signs data of operators and perceive the working environment data, that is, to collect gas data and vital signs data (body temperature, heart rate, blood oxygen, etc.), and perform radiation monitoring; and can be transmitted to the server through the WAPI communication link. The server can remotely receive the gas data and vital signs data, and then process and predict the gas data and vital signs data, so as to issue an alarm message in the presence of abnormal predicted gas data and predicted vital signs data.

[0109] exist Figure 4 Based on Figure 5 , Figure 5 A flowchart of another abnormal warning method is provided, which specifically includes the following steps:

[0110] S501, when the operator is working in the target area, current gas data of the target area and current vital sign data of the operator are obtained.

[0111] S502, obtaining historical gas data of the target area in a historical period, and historical vital sign data of the operators in the historical period.

[0112] S503, inputting historical gas data and current gas data into a first prediction model to obtain predicted gas data of the target area in a future period.

[0113] S504, inputting historical vital sign data, current vital sign data, and predicted gas data into a second prediction model to obtain predicted vital sign data of the operator in a future period.

[0114] S505, when it is determined that the predicted gas data corresponding to a preset number of consecutive moments in the future time period are abnormal, and / or the predicted vital sign data corresponding to a preset number of consecutive moments in the future time period are abnormal, an alarm message is issued.

[0115] S506: Purify the air in the target area and / or eliminate the gas generation source so that the actual gas data of the target area in the future period is within a preset range.

[0116] The specific process of S501 to S506 can refer to the description of the above method embodiment, and its implementation principle and technical effect are similar, which will not be repeated here.

[0117] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0118] Based on the same inventive concept, the embodiment of the present application also provides an abnormal warning device for implementing the abnormal warning method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more abnormal warning device embodiments provided below can refer to the limitations of the abnormal warning method above, and will not be repeated here.

[0119] In an exemplary embodiment, Figure 6 As shown, an abnormal warning device is provided, comprising:

[0120] The acquisition module 10 is used to acquire the current gas data of the target area and the current vital sign data of the operator when the operator is operating in the target area;

[0121] A prediction module 20, used to predict the predicted gas data of the target area in the future period according to the current gas data, and to predict the predicted vital sign data of the operator in the future period according to the current vital sign data;

[0122] The alarm module 30 is used to issue an alarm message when it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data in a future period.

[0123] The above-mentioned abnormal warning device obtains the current gas data of the target area and the current vital sign data of the operator during the operation of the operator in the target area; predicts the predicted gas data of the target area in the future time period based on the current gas data, and predicts the predicted vital sign data of the operator in the future time period based on the current vital sign data; and issues an alarm message when it is determined that there are abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period. The above-mentioned scheme predicts the predicted gas data of the target area in the future time period based on the current gas data, and predicts the predicted vital sign data of the operator in the future time period based on the current vital sign data during the operation of the operator in the target area; and issues an alarm message in advance when it is determined that there are abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period, which can reserve sufficient time for the evacuation of the operator, timely rescue of the operator, and regulation of the gas data, thereby ensuring the life safety of the operator.

[0124] In one embodiment, the prediction module 20 is specifically used for:

[0125] Obtain historical gas data of the target area in a historical time period, and historical vital sign data of the operating personnel in the historical time period; wherein the historical time period includes a continuous time period of at least two historical moments adjacent to the current moment; input the historical gas data and the current gas data into a first prediction model to obtain predicted gas data of the target area in a future time period; wherein the first prediction model is trained based on sample gas data and gas label data of the sample time period; input the historical vital sign data and the current vital sign data, as well as the predicted gas data into a second prediction model to obtain predicted vital sign data of the operating personnel in the future time period; wherein the second prediction model is trained based on sample vital sign data and vital sign label data of the sample time period, as well as gas label data.

[0126] In one embodiment, the prediction module 20 is specifically used for:

[0127] Obtain weather data of the target area in the future period; determine the influence factor of weather data on the gas data of the target area; and predict the predicted gas data of the target area in the future period based on the current gas data and the influence factor.

[0128] In one embodiment, the alarm module 30 is specifically used for:

[0129] When it is determined that the predicted gas data corresponding to a preset number of consecutive moments in the future time period are abnormal, and / or the predicted vital sign data corresponding to a preset number of consecutive moments in the future time period are abnormal, an alarm message is issued.

[0130] In one embodiment, the device further comprises a purification module, and after the alarm information is issued, the purification module is used to:

[0131] The air in the target area is purified and / or the gas generating source is eliminated so that the actual gas data of the target area in the future period is within the preset range.

[0132] In one embodiment, the device further includes a determination module, and the determination module is specifically configured to:

[0133] If the product of the predicted gas data and the first correction coefficient is not within the first preset range, it is determined that there is abnormal predicted gas data in the future time period; wherein the first correction coefficient is determined based on the temperature, humidity and air flow velocity in the target area; if the product of the predicted vital sign data and the second correction coefficient is not within the second preset range, it is determined that there is abnormal predicted vital sign data in the future time period; wherein the second correction coefficient is determined based on the health data and operation time of the operator.

[0134] Each module in the above abnormal warning device can be implemented in whole or in part by software, hardware and a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each module above.

[0135] In an exemplary embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as shown in FIG. Figure 7 As shown. The computer device includes a processor, a memory, an input / output (I / O) interface and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store gas data, weather data, and vital signs data of the target area. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an abnormal warning method is implemented.

[0136] Those skilled in the art will understand that Figure 7The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0137] In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the abnormality warning method described in any of the above embodiments are implemented.

[0138] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the abnormality warning method described in any of the above embodiments are implemented.

[0139] In one embodiment, a computer program product is provided, including a computer program, which, when executed by a processor, implements the steps of the abnormality warning method described in any of the above embodiments.

[0140] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0141] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0142] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0143] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An abnormal warning method, characterized in that: The method comprises: When the operator is working in the target area, current gas data of the target area and current vital sign data of the operator are obtained; Predicting predicted gas data of the target area in a future period according to the current gas data, and predicting predicted vital sign data of the operator in the future period according to the current vital sign data; When it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data within the future period, an alarm message is issued.

2. The method according to claim 1, characterized in that: The predicting of the predicted gas data of the target area in a future period according to the current gas data, and the predicting of the predicted vital sign data of the operator in the future period according to the current vital sign data, include: Acquire historical gas data of the target area in a historical period, and historical vital sign data of the operator in the historical period; wherein the historical period includes a continuous period of at least two historical moments adjacent to the current moment; Inputting the historical gas data and the current gas data into a first prediction model to obtain predicted gas data of the target area in a future period; wherein the first prediction model is trained based on sample gas data and gas label data in a sample period; The historical vital sign data, the current vital sign data, and the predicted gas data are input into a second prediction model to obtain the predicted vital sign data of the operator in the future time period; wherein the second prediction model is trained based on the sample vital sign data and vital sign label data of the sample time period, as well as the gas label data.

3. The method according to claim 1, characterized in that The predicting the predicted gas data of the target area in a future period according to the current gas data includes: Obtain weather data for the target area in a future period; Determining an influence factor of the weather data on the gas data of the target area; The predicted gas data of the target area in a future period is predicted according to the current gas data and the influencing factors.

4. The method according to claim 1, characterized in that: The step of issuing an alarm message when it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data in the future period includes: When it is determined that the predicted gas data corresponding to a preset number of consecutive moments in the future time period are abnormal, and / or the predicted vital sign data corresponding to a preset number of consecutive moments in the future time period are abnormal, an alarm message is issued.

5. The method according to claim 1, characterized in that: After issuing the warning information, the method further includes: The air in the target area is purified, and / or the gas generation source is eliminated, so that the actual gas data of the target area in the future period is within a preset range.

6. The method according to claim 1, characterized in that Determining that abnormal predicted gas data and / or abnormal predicted vital sign data exist within the future period includes: If the product of the predicted gas data and the first correction coefficient is not within a first preset range, determining that there is abnormal predicted gas data in the future period; wherein the first correction coefficient is determined based on the temperature, humidity and air flow velocity in the target area; If the product of the predicted vital sign data and the second correction coefficient is not within a second preset range, it is determined that there is abnormal predicted vital sign data in the future time period; wherein the second correction coefficient is determined based on the health data and working time of the operator.

7. An abnormal warning device, characterized in that: The device comprises: An acquisition module, used for acquiring current gas data of the target area and current vital sign data of the operator when the operator is operating in the target area; A prediction module, used to predict the predicted gas data of the target area in a future period according to the current gas data, and to predict the predicted vital sign data of the operator in the future period according to the current vital sign data; The alarm module is used to issue an alarm message when it is determined that there is abnormal predicted gas data and / or abnormal predicted vital sign data in the future time period.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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