Multi-dimensional data acquisition method based on chemical reaction dynamic model

Abstract

The invention discloses a chemical reaction dynamic model-based multi-dimensional data acquisition method, device and equipment and a storage medium, according to the scheme, by integrating different types of sensor systems, multi-dimensional initial electric signals such as temperature, pressure and gas concentration can be acquired at the same time, so that the monitoring precision is remarkably improved; the limitations of a single sensor in the aspects of accuracy, sensitivity and adaptability are overcome; besides, based on a preset chemical reaction kinetic model, initial electric signals detected by various types of sensors are combined, so that the current explosion limit value can be accurately calculated; besides, the target sampling frequency corresponding to the target electric signal is determined based on the target electric signal and the current explosion limit value, and each sensor is controlled to carry out data acquisition based on the target sampling frequency, so that the response speed and the acquisition precision of the system in different risk states can be effectively ensured through the strategy of graded adjustment of the sampling frequency; and the reliability and efficiency of the whole monitoring system are improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to a multidimensional data acquisition method, device, equipment and storage medium based on a chemical reaction kinetic model. Background Art

[0002] As an important coal chemical method, coal-to-olefin technology can convert coal into high-value-added chemicals such as ethylene and propylene, becoming an important way to efficiently utilize coal resources. However, in the production process of coal-to-olefin, the complex high-temperature and high-pressure environment and chemical reaction mechanism lead to the production of a large amount of harmful gases, such as methane, ethylene, carbon monoxide, etc. Accurate and real-time monitoring of harmful gas concentrations is crucial to prevent accidents and protect personnel safety.

[0003] At present, in the coal-to-olefins process, a single type of gas is usually collected and processed at a high frequency through sensors, which is difficult to meet the multivariable dynamic monitoring needs of complex industrial environments. In addition, due to the interaction between gas components, it is difficult for a single data source to accurately reflect the dynamic behavior of the overall system.

[0004] Therefore, the existing data collection methods have the problems of poor accuracy and flexibility. Summary of the invention

[0005] The present application aims to at least solve the technical problems existing in the prior art. To this end, the first aspect of the present application proposes a multidimensional data acquisition method based on a chemical reaction kinetic model, the method comprising:

[0006] obtaining initial electrical signals generated by a variety of sensors;

[0007] For each initial electrical signal, preprocessing the initial electrical signal to generate a target electrical signal;

[0008] For each target electrical signal, a current explosion limit threshold value generated based on a preset chemical reaction kinetic model is obtained, and a target sampling frequency corresponding to the target electrical signal is determined based on the target electrical signal and the current explosion limit value;

[0009] Control each sensor to collect data based on the target sampling frequency to obtain a new electrical signal.

[0010] In a possible implementation, obtaining a current explosion limit threshold value generated based on a preset chemical reaction kinetic model includes:

[0011] Obtain the preset chemical reaction kinetics model and the current reaction gas type;

[0012] Calculate the current flame propagation rate based on the preset chemical reaction kinetics model, target electrical signal and current reaction gas type;

[0013] Determining a flame speed critical value based on a current flame propagation rate and a first preset corresponding relationship;

[0014] Based on the flame speed critical value and the second preset corresponding relationship, a current explosion limit threshold is determined.

[0015] In a possible implementation, the target sampling frequency includes a first sampling frequency, and determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value includes:

[0016] When the concentration of the target electrical signal reaches a first preset proportion of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the first sampling frequency.

[0017] In a possible implementation, the target sampling frequency includes a second sampling frequency, the second sampling frequency is less than the first sampling frequency, and the target sampling frequency corresponding to the target electrical signal is determined based on the target electrical signal and the current explosion limit value, including:

[0018] When the concentration of the target electrical signal is less than a second preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the second sampling frequency. Wherein, the second preset ratio is less than the first preset ratio.

[0019] In a possible implementation, the target sampling frequency includes a third sampling frequency, the third sampling frequency is less than the second sampling frequency, and the target sampling frequency corresponding to the target electrical signal is determined based on the target electrical signal and the current explosion limit value, including:

[0020] When the concentration of the target electrical signal is less than a third preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the third sampling frequency. Wherein, the third preset ratio is less than the second preset ratio.

[0021] In a possible implementation, preprocessing the initial electrical signal to generate a target electrical signal includes:

[0022] The initial electrical signal is converted into a data format through a preset protocol converter to generate a target electrical signal.

[0023] In a possible implementation, the types of sensors include hazardous gas sensors and environmental parameter sensors, the hazardous gas sensors include infrared gas sensors and electrochemical gas sensors, the initial electrical signals include first initial electrical signals, second initial electrical signals, and third initial electrical signals, and obtaining initial electrical signals generated by multiple sensors includes:

[0024] Obtaining a first current signal or voltage signal obtained by converting the acquired absorption intensity change data of the gas to light of a specific wavelength by the infrared gas sensor, and using the current signal or voltage signal as a first initial electrical signal; wherein the first initial electrical signal is proportional to the gas concentration;

[0025] Acquire a second current signal generated by a chemical reaction between the gas collected by the electrochemical gas sensor and the electrode, and use the second current signal as a second initial electrical signal; wherein the second initial electrical signal is linearly related to the gas concentration;

[0026] The third initial electrical signal is obtained by converting the collected temperature data and pressure data by the environmental parameter sensor.

[0027] In a second aspect, the present application provides a multi-dimensional data acquisition device, the device comprising:

[0028] An acquisition module, used for acquiring initial electrical signals generated by various sensors;

[0029] A generating module, for performing a preprocessing operation on each initial electrical signal to generate a target electrical signal;

[0030] A determination module, for obtaining, for each target electrical signal, a current explosion limit threshold value generated based on a preset chemical reaction kinetic model, and determining a target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value;

[0031] The control module is used to control each sensor to collect data based on the target sampling frequency to obtain a new electrical signal.

[0032] In a possible implementation manner, the above-mentioned determination module is specifically used to:

[0033] Get the current explosion limit threshold value generated based on the preset chemical reaction kinetic model, including:

[0034] Obtain the preset chemical reaction kinetics model and the current reaction gas type;

[0035] Calculate the current flame propagation rate based on the preset chemical reaction kinetics model, target electrical signal and current reaction gas type;

[0036] Determining a flame speed critical value based on a current flame propagation rate and a first preset corresponding relationship;

[0037] Based on the flame speed critical value and the second preset corresponding relationship, a current explosion limit threshold is determined.

[0038] In a possible implementation, the target sampling frequency includes a first sampling frequency, and the determination module is further configured to:

[0039] When the concentration of the target electrical signal reaches a first preset proportion of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the first sampling frequency.

[0040] In a possible implementation, the target sampling frequency includes a second sampling frequency, and the determination module is further configured to:

[0041] When the concentration of the target electrical signal is less than a second preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the second sampling frequency. Wherein, the second preset ratio is less than the first preset ratio.

[0042] In a possible implementation, the target sampling frequency includes a third sampling frequency, the third sampling frequency is less than the second sampling frequency, and the determination module is further configured to:

[0043] When the concentration of the target electrical signal is less than a third preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the third sampling frequency. Wherein, the third preset ratio is less than the second preset ratio.

[0044] In a possible implementation manner, the generation module is specifically used to:

[0045] The initial electrical signal is converted into a data format through a preset protocol converter to generate a target electrical signal.

[0046] In a possible implementation, the types of sensors include hazardous gas sensors and environmental parameter sensors, the hazardous gas sensors include infrared gas sensors and electrochemical gas sensors, the initial electrical signals include first initial electrical signals, second initial electrical signals, and third initial electrical signals, and the acquisition module is specifically used for:

[0047] Obtaining a first current signal or voltage signal obtained by converting the acquired absorption intensity change data of the gas to light of a specific wavelength by the infrared gas sensor, and using the current signal or voltage signal as a first initial electrical signal; wherein the first initial electrical signal is proportional to the gas concentration;

[0048] Acquire a second current signal generated by a chemical reaction between the gas collected by the electrochemical gas sensor and the electrode, and use the second current signal as a second initial electrical signal; wherein the second initial electrical signal is linearly related to the gas concentration;

[0049] The third initial electrical signal is obtained by converting the collected temperature data and pressure data by the environmental parameter sensor.

[0050] The third aspect of the present application proposes an electronic device, which includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the multidimensional data acquisition method based on the chemical reaction kinetic model as described in the first aspect.

[0051] The fourth aspect of the present application proposes a computer-readable storage medium, which stores at least one instruction, at least one program, a code set or an instruction set. The at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the multidimensional data acquisition method based on the chemical reaction kinetic model as described in the first aspect.

[0052] The embodiments of the present application have the following beneficial effects:

[0053] The embodiment of the present application provides a multi-dimensional data acquisition method based on a chemical reaction kinetic model, the method comprising: obtaining initial electrical signals generated by multiple sensors, preprocessing the initial electrical signals for each initial electrical signal to generate a target electrical signal, obtaining the current explosion limit threshold generated based on a preset chemical reaction kinetic model for each target electrical signal, and determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value, controlling each sensor to perform data acquisition based on the target sampling frequency, and obtaining a new electrical signal. This solution can simultaneously acquire multi-dimensional initial electrical signals such as temperature, pressure, and gas concentration by integrating different types of sensor systems, thereby significantly improving the monitoring accuracy and overcoming the limitations of a single sensor in terms of accuracy, sensitivity, and adaptability; in addition, based on a preset chemical reaction kinetic model and combined with the initial electrical signals detected by multiple types of sensors, the current explosion limit value can be accurately calculated; in addition, by determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value, and controlling each sensor to perform data acquisition based on the target sampling frequency, through this hierarchical adjustment of the sampling frequency strategy, the response speed and acquisition accuracy of the system under different risk states can be effectively guaranteed, and the reliability and efficiency of the entire monitoring system can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0054] Figure 1 A block diagram of a computer device provided in an embodiment of the present application;

[0055] Figure 2 A flowchart of a multidimensional data acquisition method based on a chemical reaction kinetic model provided in an embodiment of the present application;

[0056] Figure 3 A flowchart of the steps for obtaining an initial electrical signal provided in an embodiment of the present application;

[0057] Figure 4 A flowchart of steps for obtaining the current explosion limit threshold provided in an embodiment of the present application;

[0058] Figure 5 The overall framework structure of a multidimensional data acquisition method based on a chemical reaction kinetic model provided in an embodiment of the present application;

[0059] Figure 6 A structural block diagram of a multi-dimensional data acquisition device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0061] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, features defined as "first" and "second" may explicitly or implicitly include one or more of the features. In the description of the embodiments of the present disclosure, unless otherwise specified, "multiple" means two or more. In addition, the use of "based on" or "according to" means openness and inclusiveness, because the process, steps, calculations or other actions "based on" or "according to" one or more of the conditions or values ​​may be based on additional conditions or values ​​beyond the described values ​​in practice.

[0062] The multidimensional data acquisition method based on the chemical reaction kinetic model provided in the present application can be applied to a computer device (electronic device), on which a visual computing platform can be deployed to execute the steps and processes of the multidimensional data acquisition method based on the chemical reaction kinetic model. The computer device can be a server or a terminal, wherein the server can be a single server or a server cluster composed of multiple servers, which is not specifically limited in the embodiments of the present application, and the terminal can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, and portable wearable devices.

[0063] Take the computer device as a server as an example. Figure 1 A block diagram of a server is shown, such as Figure 1As shown, the server may include a processor and a memory connected via a system bus. The processor of the server is used to provide computing and control capabilities. The memory of the server 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. When the computer program is executed by the processor, a multidimensional data acquisition method based on a chemical reaction kinetic model is implemented.

[0064] Those skilled in the art will understand that Figure 1 The structure shown in the figure is only a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the server to which the solution of the present application is applied. Optionally, the server may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0065] It should be noted that the execution subject of the embodiments of the present application may be a computer device or a multi-dimensional data acquisition device. The following method embodiments are described with the computer device as the execution subject.

[0066] Figure 2 A flowchart of a multidimensional data acquisition method based on a chemical reaction kinetic model provided in an embodiment of the present application. Figure 2 As shown, the method comprises the following steps:

[0067] Step 202: Acquire initial electrical signals generated by various sensors.

[0068] Among them, the multiple sensors can obtain each initial electrical signal in real time and continuously, and when the multiple sensors measure the change of gas concentration, these gas concentration signals will be converted into corresponding electrical signals. Optionally, the types of sensors can include but are not limited to hazardous gas sensors and environmental parameter sensors, and the hazardous gas sensors can be infrared gas sensors and electrochemical gas sensors, so that the initial electrical signals can include a first initial electrical signal, a second initial electrical signal and a third initial electrical signal.

[0069] The first initial electrical signal may be generated by an infrared gas sensor, the second initial electrical signal may be generated by an electrochemical gas sensor, and the third initial electrical signal may be generated by an environmental parameter sensor.

[0070] In addition, hazardous gas sensors may include but are not limited to methane sensors, ethylene sensors, carbon monoxide sensors, etc., and environmental parameter sensors may include but are not limited to temperature sensors, humidity sensors, pressure sensors, etc.

[0071] In some optional embodiments, the initial electrical signal generated by the sensor can also be displayed in real time on the screen of the visualization computing platform, so that the changes in gas concentration and environmental parameters can be intuitively presented.

[0072] In some optional embodiments, when obtaining the initial electrical signals generated by various sensors, such as Figure 3 As shown, Figure 3 A flowchart of the steps of obtaining an initial electrical signal provided in an embodiment of the present application includes:

[0073] Step 302: Obtain a first current signal or voltage signal obtained by converting the collected data of changes in the absorption intensity of the gas to light of a specific wavelength, which is obtained by the infrared gas sensor, and use the current signal or voltage signal as a first initial electrical signal.

[0074] Among them, the infrared gas sensor can convert the change of the absorption intensity of the gas to light of a specific wavelength into a first current signal or voltage signal proportional to the gas concentration, that is, the first initial electrical signal is proportional to the gas concentration.

[0075] Step 304: Acquire a second current signal generated by a chemical reaction between the gas collected by the electrochemical gas sensor and the electrode, and use the second current signal as a second initial electrical signal.

[0076] Among them, the electrochemical gas sensor can generate current through the chemical reaction between the gas and the electrode, thereby obtaining a second current signal, and the magnitude of the current is linearly related to the gas concentration, that is, the second initial electrical signal is linearly related to the gas concentration.

[0077] Step 306: Obtain a third initial electrical signal obtained by converting the collected temperature data and pressure data by the environmental parameter sensor.

[0078] Among them, the environmental parameter sensor may include a temperature sensor and a pressure sensor, so that the measured temperature and pressure data can be converted into corresponding electrical signals through the environmental parameter sensor. The temperature sensor converts the signal through the voltage or resistance change caused by the temperature change to obtain a third initial electrical signal, and the pressure sensor generates a third initial electrical signal proportional to the pressure through the pressure change.

[0079] Optionally, the environmental parameter sensor may further include a humidity sensor, so that the corresponding third initial electrical signal may also be obtained through the humidity sensor. The embodiment of the present application does not specifically limit the type of the environmental parameter sensor.

[0080] It should be noted that the above conversion processing is an analog-to-digital conversion processing, which can obtain the first initial electrical signal, the second initial electrical signal and the third initial electrical signal that can be further processed and analyzed. These signals can accurately reflect the changes in gas concentration and environmental parameters, and provide reliable data support for subsequent monitoring and decision-making.

[0081] Step 204: For each initial electrical signal, perform a preprocessing operation on the initial electrical signal to generate a target electrical signal.

[0082] After acquiring each initial electrical signal, the initial electrical signal may be preprocessed to generate a target electrical signal. In some optional embodiments, the initial electrical signal may be converted into a data format by a preset protocol converter to generate a target electrical signal.

[0083] Among them, the initial electrical signals output by each sensor are integrated by the protocol converter and then converted into data formats to make them compatible and communicate with the subsequent visualization server system. Optionally, the protocol converter can use Modbus to convert the signals of different types of sensors into a standardized data format. Through this conversion, the output of the sensor can be connected to the visualization server to ensure that data can be transmitted between different devices.

[0084] Step 206: For each target electrical signal, obtain the current explosion limit threshold value generated based on the preset chemical reaction kinetics model, and determine the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value.

[0085] Among them, when obtaining the current explosion limit threshold generated based on the preset chemical reaction kinetic model, such as Figure 4 As shown, Figure 4 A flowchart of steps for obtaining the current explosion limit threshold provided in an embodiment of the present application includes:

[0086] Step 402: Obtain a preset chemical reaction kinetics model and a current reaction gas type.

[0087] Step 404: Calculate the current flame propagation rate based on the preset chemical reaction kinetics model, the target electrical signal and the current reaction gas type.

[0088] Step 406: Determine a flame speed critical value based on the current flame propagation rate and the first preset corresponding relationship.

[0089] Step 408: Determine the current explosion limit threshold based on the flame speed critical value and the second preset corresponding relationship.

[0090] The specific workflow of the chemical reaction kinetics model includes: First, the laminar flame speed needs to be defined is the linear velocity of the unburned gas. The specific calculation process is shown in formula (1).

[0091]

[0092] Where λ is the thermal conductivity of the mixed gas, ρ0 is the mass density, c p is the specific heat capacity at constant pressure, T i is the end temperature of the heat conduction area, T f is the end temperature of the heat release zone, Q is the reaction heat per unit mass of unburned gas, The rate at which reactants are consumed.

[0093] The total heat Q mentioned above can be equal to the enthalpy used to heat the combustion gas. The specific calculation process is shown in formula (2).

[0094] Q=c p (T f -T u ) (2)

[0095] Among them, T u is the temperature of the unburned gas.

[0096] The laminar flame speed is proportional to the square root of the thermal diffusion coefficient, and the consumption rate of the reactants It can be calculated by formula (3).

[0097]

[0098] Among them, A' is the pre-exponential factor, E a is the activation energy of the reactants, in units of R u is the specific gas constant, in units of T is absolute temperature, unit is K.

[0099] Therefore, after obtaining the preset chemical reaction kinetics model and the current reaction gas type, the above formula (1)-formula (3) can be used to calculate and uses this value as the current flame propagation rate.

[0100] Next, the flame speed critical value can be determined based on the current flame propagation rate and the first preset corresponding relationship, and the current explosion limit threshold can be determined based on the flame speed critical value and the second preset corresponding relationship. The current flame propagation rate and the flame speed critical value have a first preset corresponding relationship, and within the concentration range of the gas mixture, the flame speed critical value corresponds to the current explosion limit threshold, that is, the flame speed critical value and the current explosion limit threshold have a second preset corresponding relationship.

[0101] Thus, the target sampling frequency corresponding to the target electrical signal can be determined based on the target electrical signal and the current explosion limit value. In some optional embodiments, the target sampling frequency includes a first sampling frequency, and determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value may include: when the concentration of the target electrical signal reaches a first preset ratio of the current explosion limit value, determining the target sampling frequency corresponding to the target electrical signal to be the first sampling frequency.

[0102] Among them, the first preset ratio can be customized according to actual needs. For example, the first preset ratio can be 50%. When the concentration of the target electrical signal reaches 50% of the current explosion limit value, it is judged as a high-risk area, and the sampling frequency of the system is increased accordingly to ensure the accurate collection of key data, that is, the target sampling frequency corresponding to the target electrical signal is determined to be the first sampling frequency, and the first sampling frequency is the highest compared to the second sampling frequency and the third sampling frequency.

[0103] In other optional embodiments, the target sampling frequency includes a second sampling frequency, which is less than the first sampling frequency. Determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value may include: when the concentration of the target electrical signal is less than a second preset proportion of the current explosion limit value, determining the target sampling frequency corresponding to the target electrical signal to be the second sampling frequency.

[0104] The second preset ratio can be customized according to actual needs. For example, the second preset ratio can be 25%. When the concentration of the target electrical signal is less than 25% of the current explosion limit value, it is determined to be a medium-risk area and the sampling frequency of the system is reduced, that is, the target sampling frequency corresponding to the target electrical signal is determined to be the second sampling frequency. The second preset ratio is less than the first preset ratio, and the second preset ratio is higher than the third preset ratio.

[0105] In some further optional embodiments, the target sampling frequency includes a third sampling frequency, the third sampling frequency is less than the second sampling frequency, and determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value may include: when the concentration of the target electrical signal is less than a third preset proportion of the current explosion limit value, determining that the target sampling frequency corresponding to the target electrical signal is the third sampling frequency.

[0106] Among them, the third preset ratio can be customized according to actual needs. For example, the third preset ratio can be 5%. When the concentration of the target electrical signal is less than 5% of the current explosion limit value, it is judged as a low-risk area, and the sampling frequency of the system is further reduced, that is, the target sampling frequency corresponding to the target electrical signal is determined to be the third sampling frequency. The third preset ratio is less than the second preset ratio, thereby reducing system energy consumption and data storage requirements.

[0107] Step 208: Control each sensor to collect data based on the target sampling frequency to obtain a new electrical signal.

[0108] After determining the target sampling frequency corresponding to each sensor, each sensor can be controlled to collect data based on the target sampling frequency, thereby obtaining a new electrical signal.

[0109] In some optional embodiments, after real-time data processing and analysis on a visual computing platform, the generated monitoring results and corresponding alarm information can be intuitively displayed, and timely and accurate decision support can be provided for the safety monitoring of high-risk production processes such as coal-to-olefins.

[0110] Figure 5 The overall framework structure of a multidimensional data acquisition method based on a chemical reaction kinetic model provided in an embodiment of the present application includes a methane sensor, an ethylene sensor, a carbon monoxide sensor, a temperature and pressure sensor, etc. The initial electrical signal generated by each sensor is converted through a protocol converter and can be input into a visualization computing platform for further data processing and analysis.

[0111] The present application provides a multi-dimensional data acquisition method based on a chemical reaction kinetic model, the method comprising: obtaining initial electrical signals generated by multiple sensors, preprocessing the initial electrical signals for each initial electrical signal to generate a target electrical signal, obtaining the current explosion limit threshold generated based on a preset chemical reaction kinetic model for each target electrical signal, determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value, controlling each sensor to perform data acquisition based on the target sampling frequency, and obtaining a new electrical signal. This scheme can simultaneously acquire multi-dimensional initial electrical signals such as temperature, pressure, and gas concentration by integrating different types of sensor systems, thereby significantly improving the monitoring accuracy and overcoming the limitations of a single sensor in terms of accuracy, sensitivity, and adaptability; in addition, based on a preset chemical reaction kinetic model and combined with the initial electrical signals detected by multiple types of sensors, the current explosion limit value can be accurately calculated; in addition, by determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value, and controlling each sensor to perform data acquisition based on the target sampling frequency, through this hierarchical adjustment of the sampling frequency strategy, the response speed and acquisition accuracy of the system under different risk states can be effectively guaranteed, and the reliability and efficiency of the entire monitoring system can be improved.

[0112] 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.

[0113] Figure 6 A structural block diagram of a multi-dimensional data acquisition device provided in an embodiment of the present application.

[0114] like Figure 6 As shown, the multi-dimensional data acquisition device 600 includes:

[0115] The acquisition module 602 is used to acquire initial electrical signals generated by various sensors.

[0116] The generating module 604 is used to perform a preprocessing operation on each initial electrical signal to generate a target electrical signal.

[0117] The determination module 606 is used to obtain the current explosion limit threshold value generated based on the preset chemical reaction kinetic model for each target electrical signal, and determine the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value.

[0118] The control module 608 is used to control each sensor to collect data based on the target sampling frequency to obtain a new electrical signal.

[0119] Regarding the device in the above embodiment, the specific way in which each module performs the operation has been described in detail in the embodiment of the method, and will not be elaborated here. Each module in the above multidimensional data acquisition device can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations of the above modules.

[0120] In one embodiment of the present application, a computer device is provided, the computer device comprising a memory and a processor, the memory storing a computer program, and the processor implementing the following steps when executing the computer program:

[0121] obtaining initial electrical signals generated by a variety of sensors;

[0122] For each initial electrical signal, preprocessing the initial electrical signal to generate a target electrical signal;

[0123] For each target electrical signal, a current explosion limit threshold value generated based on a preset chemical reaction kinetic model is obtained, and a target sampling frequency corresponding to the target electrical signal is determined based on the target electrical signal and the current explosion limit value;

[0124] Control each sensor to collect data based on the target sampling frequency to obtain a new electrical signal.

[0125] In one embodiment of the present application, when the processor executes the computer program, the processor further implements the following steps:

[0126] Obtain the preset chemical reaction kinetics model and the current reaction gas type;

[0127] Calculate the current flame propagation rate based on the preset chemical reaction kinetics model, target electrical signal and current reaction gas type;

[0128] Determining a flame speed critical value based on a current flame propagation rate and a first preset corresponding relationship;

[0129] Based on the flame speed critical value and the second preset corresponding relationship, a current explosion limit threshold is determined.

[0130] In one embodiment of the present application, when the processor executes the computer program, the processor further implements the following steps:

[0131] When the concentration of the target electrical signal reaches a first preset proportion of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the first sampling frequency.

[0132] In one embodiment of the present application, when the processor executes the computer program, the processor further implements the following steps:

[0133] When the concentration of the target electrical signal is less than a second preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the second sampling frequency. Wherein, the second preset ratio is less than the first preset ratio.

[0134] In one embodiment of the present application, when the processor executes the computer program, the processor further implements the following steps:

[0135] When the concentration of the target electrical signal is less than a third preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the third sampling frequency. Wherein, the third preset ratio is less than the second preset ratio.

[0136] In one embodiment of the present application, when the processor executes the computer program, the processor further implements the following steps:

[0137] The initial electrical signal is converted into a data format through a preset protocol converter to generate a target electrical signal.

[0138] In one embodiment of the present application, when the processor executes the computer program, the processor further implements the following steps:

[0139] Obtaining a first current signal or voltage signal obtained by converting the acquired absorption intensity change data of the gas to light of a specific wavelength by the infrared gas sensor, and using the current signal or voltage signal as a first initial electrical signal; wherein the first initial electrical signal is proportional to the gas concentration;

[0140] Acquire a second current signal generated by a chemical reaction between the gas collected by the electrochemical gas sensor and the electrode, and use the second current signal as a second initial electrical signal; wherein the second initial electrical signal is linearly related to the gas concentration;

[0141] The third initial electrical signal is obtained by converting the collected temperature data and pressure data by the environmental parameter sensor.

[0142] The computer device provided in the embodiment of the present application has similar implementation principles and technical effects to those of the above-mentioned method embodiment, and will not be described in detail here.

[0143] In one embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the following steps are implemented:

[0144] obtaining initial electrical signals generated by a variety of sensors;

[0145] For each initial electrical signal, preprocessing the initial electrical signal to generate a target electrical signal;

[0146] For each target electrical signal, a current explosion limit threshold value generated based on a preset chemical reaction kinetic model is obtained, and a target sampling frequency corresponding to the target electrical signal is determined based on the target electrical signal and the current explosion limit value;

[0147] Control each sensor to collect data based on the target sampling frequency to obtain a new electrical signal.

[0148] In one embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented:

[0149] Obtain the preset chemical reaction kinetics model and the current reaction gas type;

[0150] Calculate the current flame propagation rate based on the preset chemical reaction kinetics model, target electrical signal and current reaction gas type;

[0151] Determining a flame speed critical value based on a current flame propagation rate and a first preset corresponding relationship;

[0152] Based on the flame speed critical value and the second preset corresponding relationship, a current explosion limit threshold is determined.

[0153] In one embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented:

[0154] When the concentration of the target electrical signal reaches a first preset proportion of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the first sampling frequency.

[0155] In one embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented:

[0156] When the concentration of the target electrical signal is less than a second preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the second sampling frequency. Wherein, the second preset ratio is less than the first preset ratio.

[0157] In one embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented:

[0158] When the concentration of the target electrical signal is less than a third preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the third sampling frequency. Wherein, the third preset ratio is less than the second preset ratio.

[0159] In one embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented:

[0160] The initial electrical signal is converted into a data format through a preset protocol converter to generate a target electrical signal.

[0161] In one embodiment of the present application, when the computer program is executed by a processor, the following steps are further implemented:

[0162] Obtaining a first current signal or voltage signal obtained by converting the acquired absorption intensity change data of the gas to light of a specific wavelength by the infrared gas sensor, and using the current signal or voltage signal as a first initial electrical signal; wherein the first initial electrical signal is proportional to the gas concentration;

[0163] Acquire a second current signal generated by a chemical reaction between the gas collected by the electrochemical gas sensor and the electrode, and use the second current signal as a second initial electrical signal; wherein the second initial electrical signal is linearly related to the gas concentration;

[0164] The third initial electrical signal is obtained by converting the collected temperature data and pressure data by the environmental parameter sensor.

[0165] The computer-readable storage medium provided in this embodiment has similar implementation principles and technical effects to those of the above method embodiments, and will not be described in detail here.

[0166] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods 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 memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0167] Those skilled in the art will readily appreciate other embodiments of the present disclosure after considering the specification and practicing the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present disclosure that follow the general principles of the present disclosure and include common knowledge or customary techniques in the art that are not disclosed in the present disclosure. The specification and examples are intended to be exemplary only, and the true scope and spirit of the present disclosure are indicated by the following claims.

[0168] It should be understood that the present disclosure is not limited to the exact structures that have been described above and shown in the drawings, and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims

1. A multidimensional data acquisition method based on a chemical reaction kinetic model, characterized in that: The method comprises: obtaining initial electrical signals generated by a variety of sensors; For each of the initial electrical signals, preprocessing the initial electrical signal to generate a target electrical signal; For each of the target electrical signals, a current explosion limit threshold value generated based on a preset chemical reaction kinetic model is obtained, and a target sampling frequency corresponding to the target electrical signal is determined based on the target electrical signal and the current explosion limit value; Each of the sensors is controlled to collect data based on the target sampling frequency to obtain a new electrical signal.

2. The method according to claim 1, characterized in that The obtaining of the current explosion limit threshold value generated based on a preset chemical reaction kinetic model includes: Obtain the preset chemical reaction kinetics model and the current reaction gas type; Calculating a current flame propagation rate based on the preset chemical reaction kinetics model, the target electrical signal and the current reaction gas type; Determining a flame speed critical value based on the current flame propagation rate and the first preset corresponding relationship; The current explosion limit threshold is determined based on the flame speed critical value and the second preset corresponding relationship.

3. The method according to claim 1 or 2, characterized in that: The target sampling frequency includes a first sampling frequency, and the step of determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value includes: When the concentration of the target electrical signal reaches a first preset proportion of the current explosion limit value, a target sampling frequency corresponding to the target electrical signal is determined to be the first sampling frequency.

4. The method according to claim 3, characterized in that: The target sampling frequency includes a second sampling frequency, the second sampling frequency is less than the first sampling frequency, and the determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value includes: When the concentration of the target electrical signal is less than a second preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the second sampling frequency; wherein the second preset ratio is less than the first preset ratio.

5. The method according to claim 4, characterized in that The target sampling frequency includes a third sampling frequency, the third sampling frequency is less than the second sampling frequency, and the determining the target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value includes: When the concentration of the target electrical signal is less than a third preset ratio of the current explosion limit value, the target sampling frequency corresponding to the target electrical signal is determined to be the third sampling frequency; wherein the third preset ratio is less than the second preset ratio.

6. The method according to claim 1 or 2, characterized in that: The preprocessing operation of the initial electrical signal to generate a target electrical signal includes: The initial electrical signal is converted into a data format through a preset protocol converter to generate the target electrical signal.

7. The method according to claim 1 or 2, characterized in that The types of sensors include hazardous gas sensors and environmental parameter sensors, the hazardous gas sensors include infrared gas sensors and electrochemical gas sensors, the initial electrical signals include a first initial electrical signal, a second initial electrical signal and a third initial electrical signal, and the initial electrical signals generated by the multiple sensors are obtained, including: Obtaining a first current signal or voltage signal obtained by converting the acquired absorption intensity variation data of the gas to light of a specific wavelength by the infrared gas sensor, and using the current signal or voltage signal as the first initial electrical signal; wherein the first initial electrical signal is proportional to the gas concentration; Acquire a second current signal generated by a chemical reaction between the gas collected by the electrochemical gas sensor and the electrode, and use the second current signal as the second initial electrical signal; wherein the second initial electrical signal is linearly related to the gas concentration; A third initial electrical signal is obtained by converting the collected temperature data and pressure data by the environmental parameter sensor.

8. A multidimensional data acquisition device, based on the multidimensional data acquisition method based on a chemical reaction kinetic model as claimed in any one of claims 1 to 7, characterized in that: The device comprises: An acquisition module, used for acquiring initial electrical signals generated by various sensors; A generating module, used for performing a preprocessing operation on each of the initial electrical signals to generate a target electrical signal; A determination module, for obtaining, for each of the target electrical signals, a current explosion limit threshold value generated based on a preset chemical reaction kinetic model, and determining a target sampling frequency corresponding to the target electrical signal based on the target electrical signal and the current explosion limit value; The control module is used to control each of the sensors to collect data based on the target sampling frequency to obtain a new electrical signal.

9. An electronic device, based on the multidimensional data acquisition method based on a chemical reaction kinetic model as claimed in any one of claims 1 to 7, characterized in that: The electronic device includes a processor and a memory, wherein the memory stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the multidimensional data acquisition method based on the chemical reaction kinetic model as described in any one of claims 1 to 7.

10. A computer-readable storage medium, based on the multidimensional data acquisition method based on a chemical reaction kinetic model according to any one of claims 1 to 7, characterized in that: The storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by the processor to implement the multidimensional data acquisition method as described in any one of claims 1-7.

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