Ultra-low power consumption wireless transmission gas detector

Abstract

The invention relates to the technical field of gas detection, in particular to an ultra-low power consumption wireless transmission gas detector. On the basis that all gas detectors in a to-be-monitored area operate in a detection dormancy alternating mode to reduce power consumption, a low-power-consumption control system is additionally arranged; the change condition of gas concentration data in the surrounding environment of gas detectors at different positions in a to-be-monitored area is comprehensively analyzed through a low-power-consumption control system, so that when the gas detectors are about to enter a dormant state, the gas detectors needing to be suspected to be adjacent to leakage points are screened out to prolong the detection time; therefore, the detection effectiveness is improved on the premise that the power consumption is reduced as much as possible.

Description

Technical Field

[0001] The present invention relates to the technical field of gas detection, and in particular to an ultra-low power consumption wireless transmission gas detector. Background Art

[0002] In industrial production, real-time monitoring of gas concentration can provide early warning of gas leakage, allowing relevant production personnel to take timely protection or evacuate, and can also timely repair relevant production equipment to reduce the risk of production accidents. Currently, wireless transmission gas detectors are mainly used to wirelessly transmit real-time collected monitoring data to cloud platforms or systems for analysis and early warning, improve detection efficiency and accuracy, and realize remote monitoring management, providing strong support for production safety, environmental monitoring and protection.

[0003] To ensure the reliability of gas monitoring, wireless transmission gas detectors are usually kept in a continuously powered-on state. Although this can ensure real-time detection and immediate response, it will lead to increased power consumption. Therefore, in the prior art, a periodic detection method is usually adopted, that is, the device goes into sleep mode after a period of detection. This can alleviate the power consumption burden to a certain extent, but it is easy to miss the key time nodes of gas leakage, thereby reducing the detection effectiveness of the gas detector. Summary of the invention

[0004] In order to solve the technical problem of low detection effectiveness of existing wireless transmission gas detectors, the purpose of the present invention is to provide an ultra-low power consumption wireless transmission gas detector, and the technical solution adopted is as follows: The present invention proposes an ultra-low power consumption wireless transmission gas detector, comprising a plurality of gas detector bodies, wherein the body comprises a sensor gas chamber, a wireless transmission module, and a low power consumption control system; the low power consumption control system comprises a data receiving module, a data analysis module, and a feedback control module; the data receiving module is used to receive relevant data transmitted by the wireless transmission module of each gas detector in a monitored area in each gas detection cycle, and transmit the relevant data to the data analysis module; the data analysis module is used to determine the low power consumption operation mode of each gas detector in each gas detection cycle; the feedback control module is used to control the operation of the corresponding gas detector according to the low power consumption operation mode; In each gas detection cycle, each gas detector operates in a preset cycle detection mode; the relevant data includes: in each gas detection cycle, the gas concentration data collected by the sensor in the sensor chamber of each gas detector and the corresponding collection time; the determination method of the low power consumption operation mode includes: In each gas detection cycle, the necessity of extended detection of each gas detector is obtained according to the collection time and concentration of each gas concentration data of each gas detector, combined with the local fluctuation change; According to the spatial distance between each gas detector and each of the other gas detectors, combined with the necessity of the extended detection of each gas detector, obtain the extended discrimination coefficient of each gas detector in each gas detection cycle; The low power consumption operation mode of each gas detector in each gas detection cycle is determined according to the extended discrimination coefficient.

[0005] Furthermore, the preset period detection method includes: In each gas detection cycle, the gas detector collects relevant data within a preset collection period and sleeps within a preset sleep period; the starting point of the preset collection period coincides with the starting point of the gas detection cycle, the end point of the preset collection period is adjacent to the starting point of the preset sleep period, and the end point of the preset sleep period coincides with the end point of the gas detection cycle.

[0006] Furthermore, the method for obtaining the necessity of extending the detection includes: According to the local historical fluctuation of each gas concentration data of each gas detector, obtaining the change trend parameter of each gas concentration data; According to the deviation of each gas concentration data of each gas detector from the preset warning concentration and the position of the corresponding collection time in the gas detection cycle, combined with the change trend parameter, the extension parameter of each gas concentration data is obtained; The necessity of extended detection of each gas detector is obtained by integrating the extension parameters of all the gas concentration data of each gas detector in each gas detection cycle.

[0007] Furthermore, the method for obtaining the extension parameter includes: Using the negative correlation mapping result between the concentration difference of each gas concentration data and the preset warning concentration as the warning extension parameter of each gas concentration data; Using the negative correlation mapping result of the time interval between the collection moment of each gas concentration data and the end point of the corresponding preset collection period as the extended reference weight of each gas concentration data; The extension parameter corresponding to the gas concentration data is obtained according to the change trend parameter, the warning extension parameter and the extension reference weight; the change trend parameter, the warning extension parameter and the extension reference weight are all positively correlated with the extension parameter.

[0008] Furthermore, the method for obtaining the change trend parameter includes: Taking any of the gas concentration data as target data, within a preset historical range of the target data, fitting the local trend baseline of the target data according to all the gas concentration data, and sorting and connecting all the gas concentration data according to the collection time to obtain the local data curve of the target data; According to the curve difference between the local data curve and the local trend baseline, a first fluctuation coefficient of the target data is obtained; the curve difference is positively correlated with the first fluctuation coefficient; Obtaining a second fluctuation coefficient of the target data according to the slope of all gas concentration data on the local trend baseline; A change trend parameter of the target data is obtained according to the first fluctuation coefficient and the second fluctuation coefficient; the first fluctuation coefficient and the second fluctuation coefficient are both positively correlated with the change trend parameter.

[0009] Furthermore, the method for obtaining the first fluctuation coefficient includes: Between the local data curve of the target data and the local trend baseline, the average of the differences between the gas concentration data at the same sampling time is used as the first fluctuation coefficient of the target data.

[0010] Furthermore, the method for obtaining the extended discriminant coefficient includes: Taking any gas detector as a target detector, obtaining a synchronization extension coefficient between the target detector and each non-target detector according to the spatial distance between the target detector and each non-target detector, and the size and similarity of the necessity of extending the detection; The extension requirement degree of the target detector is obtained by combining the synchronization extension coefficients of the target detector and all non-target detectors; According to the degree of extension need and the necessity of extended detection, the extension discrimination coefficient of the corresponding gas detector is obtained; the degree of extension need and the necessity of extended detection are both positively correlated with the extension discrimination coefficient.

[0011] Furthermore, the method for obtaining the synchronization extension coefficient includes: The product of the necessity of extending the detection corresponding to the target detector and the necessity of extending the detection corresponding to each non-target detector is used as a first synchronization parameter; Acquire a second synchronization parameter according to a necessity difference between the target detector and each non-target detector corresponding to the necessity of the extended detection; the necessity difference is negatively correlated with the second synchronization parameter; Between the target detector and each non-target detector, a synchronization extension coefficient between the target detector and each non-target detector is obtained according to the first synchronization parameter, the second synchronization parameter and the spatial distance; the first synchronization parameter and the second synchronization parameter are both positively correlated with the synchronization extension coefficient, and the spatial distance is negatively correlated with the synchronization extension coefficient.

[0012] Furthermore, the method for determining the low power consumption operation mode includes: If the extended discrimination coefficient is less than or equal to the preset discrimination threshold, the corresponding gas detector is a non-regulated detector, and the non-regulated detector is dormant during the preset dormancy period; If the extended discrimination coefficient is greater than the preset discrimination threshold, the corresponding gas detector is a detector to be regulated, and the detector to be regulated operates in a preset operating mode during a preset sleep period.

[0013] Furthermore, the preset operation mode includes: The product of the extended discrimination coefficient and the length of the preset collection period is used as the extended detection time length of the corresponding detector to be regulated; the starting point of the preset sleep period is used as the extended collection starting point, and the moment of the maximum extended detection time length from the extended collection starting point is used as the collection end point, to obtain the first extended collection period in the preset sleep period; in the first extended collection period, each detector to be regulated continues to collect relevant data with the corresponding extended detection time length; and the extended discrimination coefficient of each detector to be regulated is obtained; According to the extended discrimination coefficient of each detector to be regulated, a new detector to be regulated among all the detectors to be regulated is obtained, and the extended detection time of each new detector to be regulated is obtained; the end point of the first extended collection period is used as a new extended collection starting point to obtain a second extended collection period; in the second extended collection period, each new detector to be regulated continues to collect relevant data with the corresponding extended detection time; The extended collection is stopped by iterating continuously until the detector to be controlled issues an early warning or the total duration of all extended collection periods exceeds the total duration of the preset sleep period for the first time.

[0014] The present invention has the following beneficial effects: The present invention adds a low-power control system on the basis of all the gas detectors that operate in a preset periodic detection mode that alternates between detection and sleep in a monitored area to reduce power consumption; the low-power control system analyzes and obtains the collection time and concentration of the gas concentration data collected by each gas detector in each gas detection cycle, and obtains the necessity of extended detection for each gas detector in combination with the local fluctuation change situation, and the necessity of extended detection is determined on the premise that the gas concentration shows an increasing trend, taking into account the time from the current collection time to the time of entering sleep mode, thereby avoiding blindly extending the detection, so as to accurately determine the necessity of extended detection later; then, according to the spatial distance between each gas detector and each of the other gas detectors, combined with the necessity of extended detection of each gas detector, an extended discrimination coefficient for each gas detector is obtained, each gas detector is analyzed together with the other gas detectors, and the gas detectors near the leakage point are given priority as much as possible for extended detection, so as to ensure the effectiveness of the detection while reducing the power consumption as much as possible; the low-power operation mode of each gas detector in each gas detection cycle is determined according to the extended discrimination coefficient. The present invention uses a low-power control system to comprehensively analyze changes in gas concentration data in the surrounding environment of gas detectors at different locations in the monitored area, thereby screening out gas detectors that are suspected to be near leakage points when the gas detectors are about to enter a dormant state to extend the detection, thereby avoiding the omission of safety hazards caused by entering a dormant state, and improving the detection effectiveness while reducing power consumption as much as possible. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A structural diagram of an ultra-low power consumption wireless transmission gas detector provided by an embodiment of the present invention; Figure 2 A structural diagram of a gas detector body provided by an embodiment of the present invention; Figure 3 A block diagram of a low power consumption control system provided by an embodiment of the present invention; Figure 4 A flow chart of a method for determining a low power consumption operation mode provided by an embodiment of the present invention; Figure 5 A flow chart of a method for obtaining the necessity of extended detection provided by one embodiment of the present invention; Figure 6A flow chart of a method for obtaining an extended discriminant coefficient provided by an embodiment of the present invention.

[0017] Numbers in the figure: 1 alarm indicator; 2 sensor air chamber; 3 wireless transmission module; 4 suction pump; 5 suction pipe; 6 exhaust pipe; 7 fixing hole; 8 low power consumption control system; 801 data receiving module; 802 data analysis module; 803 feedback control module. DETAILED DESCRIPTION

[0018] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the specific implementation method, structure, characteristics and effects of an ultra-low power consumption wireless transmission gas detector proposed by the present invention in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0019] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0020] The specific scheme of an ultra-low power consumption wireless transmission gas detector provided by the present invention is described in detail below with reference to the accompanying drawings.

[0021] See also Figure 1 , which shows a structural diagram of an ultra-low power consumption wireless transmission gas detector provided by an embodiment of the present invention; a low power consumption control system 8 is additionally integrated on the basis of several gas detector bodies, and the connecting line represents wireless communication transmission, wherein the position of the low power consumption control system 8 can be set arbitrarily, and can also be integrated in any of the gas detector bodies; please refer to Figure 2 , which shows a structural diagram of a gas detector body provided by an embodiment of the present invention. The gas detector body includes an alarm indicator 1, a sensor air chamber 2, a wireless transmission module 3, an air pump 4, an air suction pipe 5, an exhaust pipe 6, and a fixing hole 7. Please refer to Figure 3 , wherein the low power consumption control system 8 includes a data receiving module 801 , a data analyzing module 802 and a feedback control module 803 .

[0022] The working process of an ultra-low power consumption wireless transmission gas detector is briefly described as follows: the fixing hole 7 is used for the installation and fastening of the gas detector body; the air pump 4 inhales gas from the external environment, and the gas inhaled by the air pump 4 enters the sensor air chamber 2 through the air pipe 5, and the concentration of the inhaled gas is detected by the sensor air chamber 2; after the detection is completed, the inhaled gas is discharged through the exhaust pipe 6, and at the same time, the wireless transmission module 3 wirelessly transmits the detected gas concentration data through the Internet of Things; when the detected gas concentration data exceeds the warning value, the alarm indicator 1 will sound an alarm; Each gas detector body operates in a preset periodic detection mode, that is, within a gas detection cycle, relevant data is collected within a preset collection period, and sleeps within a preset sleep period; the relevant data collected within each gas detection cycle is transmitted to the data receiving module 801 through the wireless transmission module 3, and the data receiving module 801 immediately transmits the data to the data analysis module 802 for analysis after receiving it, so as to determine the low-power operation mode of each gas detector in the gas detection cycle, and then the feedback control module 803 will control the operation of the suction pump 4 of the corresponding gas detector according to the determined low-power operation mode, so as to avoid gas leakage missed detection due to the sleep of the gas detector, thereby reducing power consumption and ensuring the effectiveness of detection.

[0023] It should be noted that the scenario targeted by one embodiment of the present invention is: taking a chemical plant as the monitored area, a number of gas detectors are deployed in the chemical plant to detect the leakage of toxic gases; the toxic gases may include sulfur dioxide, ammonia or carbon monoxide and other gases that are harmful to the human body; the model, sampling frequency and layout of the gas detector need to be determined according to the actual situation of the factory, and are not limited here; but it is necessary to ensure that the sampling frequency of all gas detectors is consistent, and they must be installed as much as possible in leak-prone places such as pipeline fastening connections, and be able to detect all types of toxic gases in the pipeline.

[0024] Since the ultra-low power wireless transmission gas detector has the same ultra-low power leakage detection method for each toxic gas, and the ultra-low power leakage detection method within each gas detection cycle is consistent, here we only describe and explain any toxic gas within any gas detection cycle.

[0025] Among them, within each gas detection cycle, the starting point of the preset collection period coincides with the starting point of the gas detection cycle, the end point of the preset collection period coincides with the starting point of the preset sleep period, and the end point of the preset sleep period is adjacent to the end point of the gas detection cycle; in one embodiment of the present invention, the preset collection period is 3 minutes, and the preset sleep period is 7 minutes, that is, each gas detection cycle is 10 minutes, and the implementer can also set the duration and form of the gas detection cycle by himself.

[0026] The relevant data include: the gas concentration data collected by the sensor in the sensor chamber of each gas detector in each gas detection cycle and the corresponding collection time.

[0027] See also Figure 4 , which shows a flow chart of a method for determining a low power consumption operation mode provided by an embodiment of the present invention, including: Step S1, in each gas detection cycle, according to the collection time and concentration of each gas concentration data of each gas detector, combined with the local fluctuation change, the necessity of extended detection of each gas detector is obtained.

[0028] In common chemical plants, toxic gases are usually transmitted through pipelines to purification equipment for treatment before being discharged. Ventilation equipment is also used to reduce the gas concentration in the current environment to ensure safety. However, when the gas concentration data continues to increase and the concentration value is large, the possibility of gas leakage is greater. However, if in each gas detection cycle, until the end of the preset sampling period, the gas concentration data has not reached the alarm threshold, the gas detector will continue to operate in the original preset cycle detection mode and enter a dormant state. If the gas concentration data continues to increase during the preset dormant period and exceeds the warning threshold, it may cause the gas detector to miss safety hazards and cause safety accidents.

[0029] Therefore, when the gas concentration data shows an increasing trend and the concentration value is larger, the detection time of the gas detector can be appropriately extended to avoid missed detection due to entering the dormant state; however, if the current moment is farther away from entering the dormant state, the necessity of extending the detection time can be appropriately reduced. On the contrary, if it is closer to entering the dormant state, the detection time needs to be extended to ensure the effectiveness of the detection. Therefore, in each gas detection cycle, the embodiment of the present invention obtains the necessity of extending the detection of each gas detector based on the collection time and concentration of each gas concentration data of each gas detector, combined with the local fluctuation changes.

[0030] Preferably, in one embodiment of the present invention, the method for obtaining the necessity of extended detection includes: See also Figure 5 , which shows a flow chart of a method for obtaining the necessity of extended detection provided by an embodiment of the present invention, including: Step S101, obtaining a change trend parameter of the gas concentration data according to the local historical fluctuation of each gas concentration data of each gas detector.

[0031] Since the historical fluctuations of each gas concentration data reflect the gas concentration change trend up to the current gas concentration data to a certain extent; considering that the gas concentration may fluctuate to a certain extent in the upward trend due to air diffusion or random noise, etc., which in turn affects the judgment of the change trend; and since the data curve can fit the general change trend of the data to a certain extent. Therefore, in a preferred embodiment of the present invention, the method for obtaining the change trend parameter includes: Take any gas concentration data as the target data, fit the local trend baseline of the target data according to all gas concentration data within the preset historical range of each target data, and sort and connect all gas concentration data according to the collection time to obtain the local data curve of the target data; According to the curve difference between the local data curve and the local trend baseline, a first fluctuation coefficient of the target data is obtained; the curve difference is positively correlated with the first fluctuation coefficient; According to the slope of all gas concentration data on the local trend baseline, the second fluctuation coefficient of the target data is obtained; The change trend parameter of the target data is obtained according to the first fluctuation coefficient and the second fluctuation coefficient; the first fluctuation coefficient and the second fluctuation coefficient are both positively correlated with the change trend parameter.

[0032] As an example, taking each gas concentration data as the end point of the window, a preset number of gas concentration data such as 5 gas concentration data are obtained in the historical time series direction to construct a local window corresponding to the preset historical range, and each local window contains 6 gas concentration data; then all gas concentration data in each local window are smoothed and fitted through a Savitzky-Golay filter to obtain a local trend baseline and a local data curve; the local trend curve reflects the general change trend, while the local data curve reflects the actual change situation; the greater the difference between the two curves, the more drastic or frequent the actual change of the data is than the fitting trend, and the greater the first fluctuation coefficient; then the instantaneous slope of all gas concentration data on the local trend baseline is linearly normalized and the average is taken to obtain the second fluctuation coefficient, wherein the instantaneous slope can be obtained by the tangent method or the derivative method, which is not repeated; the larger the normalized value of the instantaneous slope is, the more the gas concentration is increasing and the faster the increase is; then the product of the first fluctuation coefficient and the second fluctuation coefficient is used as the change trend parameter of the target data, the larger the two parameters are, the larger the change trend parameter is, and the greater the possibility of extending the detection in the later stage is.

[0033] Among them, as a preferred example, the average of the absolute values ​​of the differences between the gas concentration data at the same sampling time between the local data curve of the target data and the local trend baseline is used as the first fluctuation coefficient of the target data; in other examples, the DTW distance between the two curves can also be used as the first fluctuation coefficient, and other existing difference measurement methods can also be sampled, which will not be repeated here.

[0034] It should be noted that the gas concentration data on the local data curve are real collected gas concentration data, while the gas concentration data on the local trend baseline are fitted gas concentration data.

[0035] It should be noted that the application of Savitzky-Golay filter is already an existing technology and will not be elaborated here; when constructing a local window, it is possible that the first 5 gas concentration data within the preset collection period cannot construct a local window. Because it is in the early stage of detection and the necessity of extending the detection is low, the corresponding change trend parameter is directly set to 0.

[0036] Step S102, based on the deviation of each gas concentration data of each gas detector relative to the preset warning concentration and the position of the corresponding collection time in the gas detection cycle, combined with the change trend parameters, obtain the extension parameters of each gas concentration data in each gas detection cycle.

[0037] As the trend parameter of the gas concentration data becomes larger and closer to the preset warning concentration corresponding to the gas detector alarm, the detection time should be appropriately extended; but if the current moment is farther away from entering the sleep state, the necessity of extending the detection time can be appropriately reduced; therefore, the extension parameter of each gas concentration data can be obtained based on this; the extension parameter reflects the degree of necessity of extending the detection time at the corresponding moment of each gas concentration data, which facilitates the subsequent comprehensive determination of the final necessity of extending the detection of each gas detector by combining the extension parameters of all gas concentration data in the preset collection period.

[0038] In a preferred embodiment of the present invention, the method for obtaining the extended parameter includes: The negative correlation mapping result between each gas concentration data and the concentration difference of the preset warning concentration is used as the warning extension parameter of each gas concentration data; The negative correlation mapping result of the time interval between the collection time of each gas concentration data and the end point of the corresponding preset collection period is used as the extension reference weight of each gas concentration data; The extension parameters of the corresponding gas concentration data are obtained according to the change trend parameters, warning extension parameters and extension reference weights; the change trend parameters, warning extension parameters and extension reference weights are all positively correlated with the extension parameters.

[0039] As an example, the calculation formula for the extension parameter is: ;in, For the Gas detector No. Extension parameters for gas concentration data; It is the serial number of the gas concentration data corresponding to the collection time; The total number of collection moments in the preset collection period; To preset the anti-zero positive parameter, 0.1 is taken in this example to ensure that the denominator is meaningful; It is the preset warning concentration; To extend the reference weight; For the Gas detector No. Gas concentration data; Extend parameters for early warning; For the Gas detector No. The variation trend parameter of gas concentration data.

[0040] It should be noted that the gas concentration data in the warning extension parameters can only be less than and infinitely close to the preset warning concentration, and there is no such thing as being equal. When it is equal, the gas detector will alarm and stop working; in other examples, the implementer can directly linearly normalize the gas concentration data corresponding to the collection time, and use the normalized value as the extension reference weight; other negative correlation mapping methods besides the inverse operation can also be used, or other basic mathematical operations or related mapping methods can be used to combine the three, which will not be elaborated here.

[0041] Step S103, combining the extension parameters of all gas concentration data of each gas detector in each gas detection cycle to obtain the necessity of extended detection of each gas detector.

[0042] As an example, the calculation formula for the necessity of extended testing is: ;in, For the The necessity of extended testing of gas detectors; is the standard normalization function; It is the serial number of the gas concentration data corresponding to the collection time; is the total number of collection moments in the preset collection period. The larger the accumulated value, the greater the necessity of extending the detection; the normalization method is linear normalization, and other normalization methods can also be used, which will not be repeated here.

[0043] Step S2, obtaining an extended discrimination coefficient for each gas detector based on the spatial distance between each gas detector and each of the other gas detectors and the necessity of extended detection of each gas detector.

[0044] Since gases diffuse randomly in space and gradually dilute, and the spatial distribution positions of gas detectors in the monitored area are different, the leaked gas at the same leak point will be detected by multiple gas detectors; if the extended testing of gas detectors is determined only based on the necessity of extended testing of each gas detector, it may lead to excessive testing, which in turn leads to unnecessary increase in power consumption and energy waste; therefore, each gas detector can be analyzed together with the other gas detectors, so as to give priority to gas detectors near the leak point for extended testing as much as possible, so as to ensure the effectiveness of the detection while reducing power consumption as much as possible.

[0045] Preferably, in one embodiment of the present invention, the method for obtaining the extended discriminant coefficient includes: See also Figure 6 , which shows a flow chart of a method for obtaining an extended discrimination coefficient provided by an embodiment of the present invention, including: Step S201, taking any gas detector as the target detector, obtaining the synchronization extension coefficient of the target detector and each non-target detector according to the spatial distance between the target detector and each non-target detector, and the size and similarity of the corresponding necessity of extended detection.

[0046] If the necessity of extended detection of the two gas detectors is greater and more similar, it means that the necessity of extending the detection of both gas detectors is greater; but if the distance between the two gas detectors is greater, it means that the effectiveness of their joint detection of the same leak point is lower, that is, the two gas detectors cannot accurately monitor the same leak point, and it is necessary to appropriately reduce the necessity of their joint extended detection; based on this, the synchronous extension coefficient can be obtained, and the synchronous extension coefficient reflects the necessity of the joint extended detection of the two gas detectors. Therefore, in a preferred embodiment of the present invention, the method for obtaining the synchronous extension coefficient includes: The product of the necessity of extending the detection corresponding to the target detector and the necessity of extending the detection corresponding to each non-target detector is used as the first synchronization parameter; Obtaining a second synchronization parameter according to a necessity difference between the necessity of extending detection corresponding to the target detector and each non-target detector; the necessity difference is negatively correlated with the second synchronization parameter; Between the target detector and each non-target detector, the synchronization extension coefficient of the target detector and each non-target detector is obtained according to the first synchronization parameter, the second synchronization parameter and the spatial distance; the first synchronization parameter and the second synchronization parameter are both positively correlated with the synchronization extension coefficient, and the spatial distance is negatively correlated with the synchronization extension coefficient.

[0047] The calculation formula of the synchronization extension coefficient is: ;in, For the The gas detector and Synchronization extension factor between gas detectors; For the The gas detector and The spatial distance between the gas detectors; For the The necessity of extended testing of gas detectors; For the The necessity of extended testing of gas detectors; is the absolute value symbol; is a very small positive parameter, and in this example it is taken as 0.01 to ensure that the denominator is meaningful; is the first synchronization parameter; It is the second synchronization parameter.

[0048] It should be noted that the spatial distance is not 0, so its reciprocal is meaningful; in other examples, the implementer may also use the absolute value of the difference in spatial distance or the necessity of extended detection as an exponential function with the natural constant e as the base. The x in is negatively correlated and mapped to obtain the second synchronization parameter. Other negative correlation mapping methods may also be used, which will not be described in detail here.

[0049] Step S202, the synchronization extension coefficients of the target detector and all non-target detectors are integrated to obtain the extension requirement degree of the target detector.

[0050] As an example, the synchronization extension coefficients of the target detector and each non-target detector are accumulated, and the sum is used as the extension requirement of the target detector. The extension requirement comprehensively evaluates the necessity of the common extension detection of each gas detector relative to all other gas detectors and the importance of each gas detector's extension detection.

[0051] Step S203, obtaining the extension discrimination coefficient of the corresponding gas detector according to the degree of extension need and the necessity of extended detection; the degree of extension need and the necessity of extended detection are both positively correlated with the extension discrimination coefficient.

[0052] As an example, the product of the degree of extended demand and the necessity of extended detection is linearly normalized, and the normalized result is used as the extension discrimination coefficient of the corresponding gas detector; the extension discrimination coefficient combines the two to reflect the importance of extended detection when the gas detector is about to enter the preset sleep period, and indirectly reflects the possibility of gas leakage.

[0053] In other examples, implementers may also use other basic mathematical operations such as addition or weighted summation or positive correlation mapping means to merge the two, and may also use other normalization means, which are not described in detail here.

[0054] Step S3, determining the low power consumption operation mode of each gas detector in each gas detection cycle according to the extended discrimination coefficient.

[0055] The larger the extended discrimination coefficient is, the greater the possibility of gas leakage is, and the more necessary it is to extend the detection when entering the preset sleep period; conversely, the smaller the coefficient is, the smaller the possibility of gas leakage is, and the gas detector can enter a sleep state to reduce power consumption; therefore, the embodiment of the present invention determines the low-power operation mode of each gas detector in each gas detection cycle according to the extended discrimination coefficient, thereby reducing power consumption while ensuring detection effectiveness.

[0056] Preferably, in one embodiment of the present invention, the method for determining the low power consumption operation mode includes: If the extended discrimination coefficient is less than or equal to the preset discrimination threshold, the corresponding gas detector is a non-regulated detector, and the non-regulated detector sleeps during the preset sleep period; If the extended discrimination coefficient is greater than the preset discrimination threshold, the corresponding gas detector is a detector to be regulated, and the detector to be regulated operates in the preset operating mode during the preset sleep period.

[0057] Among them, the preset discrimination threshold is set to 0.7, and implementers can also set it according to actual needs.

[0058] The preset operation modes include: The product of the extended discrimination coefficient and the length of the preset collection period is used as the extended detection time of the corresponding detector to be regulated; the starting point of the preset sleep period is used as the extended collection starting point, and the moment of the maximum extended detection time from the extended collection starting point is used as the collection end point, to obtain the first extended collection period in the preset sleep period; in the first extended collection period, each detector to be regulated continues to collect relevant data with the corresponding extended detection time; and the extended discrimination coefficient of each detector to be regulated is obtained; According to the extended discrimination coefficient of each detector to be regulated, a new detector to be regulated among all the detectors to be regulated is obtained, and the extended detection time of each new detector to be regulated is obtained; the end point of the first extended collection period is used as a new extended collection starting point to obtain a second extended collection period; in the second extended collection period, each new detector to be regulated continues to collect relevant data with the corresponding extended detection time; The extended collection is stopped by iterating continuously until the detector to be controlled issues an early warning or the total duration of all extended collection periods exceeds the total duration of the preset sleep period for the first time.

[0059] To facilitate understanding of the preset operation mode, as an example, a gas detection cycle is 10 minutes, of which the first 3 minutes are the preset collection period, and the last 7 minutes are the preset sleep period. Assuming that the gas detection cycle starts at 0:00:00, if the gas detector is determined to be a non-regulated detector, it will enter the sleep state at 0:03:01 and remain in the sleep state for the next 7 minutes; if it is determined to be a regulated detector, assuming that there are detectors to be regulated such as A, B, C, D, and E, then its extended detection time is further obtained, and the calculation formula is as follows ;in For the The extended testing time of the detector to be regulated, is the length of the preset collection period; For the The extended discrimination coefficient of each detector to be regulated is obtained; the extended detection time corresponding to the first extended detection of all detectors to be regulated in the preset sleep period is obtained, and the maximum extended detection time is screened, assuming that it is 2 minutes, then the first extended detection corresponds to the first extended collection period of 0:03:01-0:05:00; 0:03:01 is taken as the extended collection starting point, and each detector to be regulated A, B, C, D, E is respectively extended to detect the corresponding extended detection time; then the relevant data collected in the first extended collection period is received by the data receiving module, and the method in steps S1 and S2 is repeatedly executed by the data analysis module to obtain the extended detection time of all detectors to be regulated. Long discrimination coefficient, further select new detectors to be regulated such as A, D, E from all the detectors to be regulated such as A, B, C, D, E for the second extended detection, then the extended collection starting point of the second extended detection is 0:05:01, obtain the extended detection time of A, D, E, and select the maximum extended detection time, assuming it is 1min, then the second extended collection period is 0:05:01-0:06:00, for the collection and analysis of relevant data; repeat the above steps until each time any gas detector detects that the gas concentration exceeds the alarm threshold and issues an alarm, or the entire extended detection process exceeds the preset sleep period range, the extended detection is stopped.

[0060] In one embodiment of the present invention, when any gas detector alarms, all gas detectors will jump out of sleep mode, conduct uninterrupted continuous detection, and remind relevant staff to take protective measures or evacuate, and carry out equipment maintenance under the premise of protection. After the equipment is repaired normally, the alarm is reset and the equipment is put into use again in a new gas detection cycle; in other embodiments, when the total number of gas detectors for each extended detection is greater than a quantity threshold such as 5, an alarm can also be triggered to remind the staff.

[0061] In summary, the present invention adds an additional low-power control system on the basis of all gas detectors that operate in the monitored area by adopting a preset period detection mode of alternating detection and sleep to reduce power consumption; the low-power control system analyzes and obtains the collection time and concentration of the gas concentration data collected by each gas detector in each gas detection cycle, and obtains the necessity of extended detection for each gas detector in combination with the local fluctuation change; then, based on the spatial distance between each gas detector and each other gas detector, combined with the necessity of extended detection of each gas detector, obtains the extended discrimination coefficient for each gas detector; and determines the low-power operation mode of each gas detector in each gas detection cycle according to the extended discrimination coefficient. The present invention comprehensively analyzes the changes in gas concentration data in the surrounding environment of gas detectors at different positions in the monitored area through a low-power control system, so that when the gas detector is about to enter the sleep state, the gas detector that needs to be suspected of being adjacent to the leakage point is screened out for extended detection, so as to avoid the omission of safety hazards caused by entering sleep, and improve the detection effect while reducing power consumption as much as possible.

[0062] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0063] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. An ultra-low power consumption wireless transmission gas detector, comprising a plurality of gas detector bodies, the body comprising a sensor gas chamber and a wireless transmission module, characterized in that: It also includes a low-power control system; the low-power control system includes a data receiving module, a data analysis module and a feedback control module; the data receiving module is used to receive the relevant data transmitted by the wireless transmission module of each gas detector in the monitored area in each gas detection cycle, and transmit the relevant data to the data analysis module; the data analysis module is used to determine the low-power operation mode of each gas detector in each gas detection cycle; The feedback control module is used to control the operation of the corresponding gas detector according to the low-power operation mode; In each gas detection cycle, each gas detector operates in a preset cycle detection mode; the relevant data includes: in each gas detection cycle, the gas concentration data collected by the sensor in the sensor chamber of each gas detector and the corresponding collection time; the determination method of the low power consumption operation mode includes: In each gas detection cycle, the necessity of extended detection of each gas detector is obtained according to the collection time and concentration of each gas concentration data of each gas detector, combined with the local fluctuation change; According to the spatial distance between each gas detector and each of the other gas detectors, combined with the necessity of the extended detection of each gas detector, obtain the extended discrimination coefficient of each gas detector in each gas detection cycle; The low power consumption operation mode of each gas detector in each gas detection cycle is determined according to the extended discrimination coefficient.

2. The ultra-low power consumption wireless transmission gas detector according to claim 1, characterized in that: The preset period detection method includes: In each gas detection cycle, the gas detector collects relevant data within a preset collection period and sleeps within a preset sleep period; the starting point of the preset collection period coincides with the starting point of the gas detection cycle, the end point of the preset collection period is adjacent to the starting point of the preset sleep period, and the end point of the preset sleep period coincides with the end point of the gas detection cycle.

3. The ultra-low power consumption wireless transmission gas detector according to claim 2, characterized in that: The method for obtaining the necessity of extended detection includes: According to the local historical fluctuation of each gas concentration data of each gas detector, obtaining the change trend parameter of each gas concentration data; According to the deviation of each gas concentration data of each gas detector from the preset warning concentration and the position of the corresponding collection time in the gas detection cycle, combined with the change trend parameter, the extension parameter of each gas concentration data is obtained; The necessity of extended detection of each gas detector is obtained by integrating the extension parameters of all the gas concentration data of each gas detector in each gas detection cycle.

4. The ultra-low power consumption wireless transmission gas detector according to claim 3, characterized in that: The method for obtaining the extension parameter includes: Using the negative correlation mapping result between the concentration difference of each gas concentration data and the preset warning concentration as the warning extension parameter of each gas concentration data; Using the negative correlation mapping result of the time interval between the collection moment of each gas concentration data and the end point of the corresponding preset collection period as the extended reference weight of each gas concentration data; The extension parameter corresponding to the gas concentration data is obtained according to the change trend parameter, the warning extension parameter and the extension reference weight; the change trend parameter, the warning extension parameter and the extension reference weight are all positively correlated with the extension parameter.

5. The ultra-low power consumption wireless transmission gas detector according to claim 3, characterized in that: The method for obtaining the change trend parameter includes: Taking any of the gas concentration data as target data, within a preset historical range of the target data, fitting the local trend baseline of the target data according to all the gas concentration data, and sorting and connecting all the gas concentration data according to the collection time to obtain the local data curve of the target data; According to the curve difference between the local data curve and the local trend baseline, a first fluctuation coefficient of the target data is obtained; the curve difference is positively correlated with the first fluctuation coefficient; Obtaining a second fluctuation coefficient of the target data according to the slope of all gas concentration data on the local trend baseline; A change trend parameter of the target data is obtained according to the first fluctuation coefficient and the second fluctuation coefficient; the first fluctuation coefficient and the second fluctuation coefficient are both positively correlated with the change trend parameter.

6. The ultra-low power consumption wireless transmission gas detector according to claim 5, characterized in that: The method for obtaining the first fluctuation coefficient includes: Between the local data curve of the target data and the local trend baseline, the average of the differences between the gas concentration data at the same sampling time is used as the first fluctuation coefficient of the target data.

7. The ultra-low power consumption wireless transmission gas detector according to claim 1, characterized in that: The method for obtaining the extended discrimination coefficient includes: Taking any gas detector as a target detector, obtaining a synchronization extension coefficient between the target detector and each non-target detector according to the spatial distance between the target detector and each non-target detector, and the size and similarity of the necessity of extending the detection; The extension requirement degree of the target detector is obtained by combining the synchronization extension coefficients of the target detector and all non-target detectors; According to the degree of extension need and the necessity of extended detection, the extension discrimination coefficient of the corresponding gas detector is obtained; the degree of extension need and the necessity of extended detection are both positively correlated with the extension discrimination coefficient.

8. The ultra-low power consumption wireless transmission gas detector according to claim 7, characterized in that: The method for obtaining the synchronization extension coefficient includes: The product of the necessity of extending the detection corresponding to the target detector and the necessity of extending the detection corresponding to each non-target detector is used as a first synchronization parameter; Acquire a second synchronization parameter according to a necessity difference between the target detector and each non-target detector corresponding to the necessity of the extended detection; the necessity difference is negatively correlated with the second synchronization parameter; Between the target detector and each non-target detector, a synchronization extension coefficient between the target detector and each non-target detector is obtained according to the first synchronization parameter, the second synchronization parameter and the spatial distance; the first synchronization parameter and the second synchronization parameter are both positively correlated with the synchronization extension coefficient, and the spatial distance is negatively correlated with the synchronization extension coefficient.

9. The ultra-low power consumption wireless transmission gas detector according to claim 2, characterized in that: The method for determining the low power consumption operation mode includes: If the extended discrimination coefficient is less than or equal to the preset discrimination threshold, the corresponding gas detector is a non-regulated detector, and the non-regulated detector is dormant during the preset dormancy period; If the extended discrimination coefficient is greater than the preset discrimination threshold, the corresponding gas detector is a detector to be regulated, and the detector to be regulated operates in a preset operating mode during a preset sleep period.

10. The ultra-low power consumption wireless transmission gas detector according to claim 9, characterized in that: The preset operation mode includes: The product of the extended discrimination coefficient and the length of the preset collection period is used as the extended detection time length of the corresponding detector to be regulated; the starting point of the preset sleep period is used as the extended collection starting point, and the moment of the maximum extended detection time length from the extended collection starting point is used as the collection end point, to obtain the first extended collection period in the preset sleep period; in the first extended collection period, each detector to be regulated continues to collect relevant data with the corresponding extended detection time length; and the extended discrimination coefficient of each detector to be regulated is obtained; According to the extended discrimination coefficient of each detector to be regulated, a new detector to be regulated among all the detectors to be regulated is obtained, and the extended detection time of each new detector to be regulated is obtained; the end point of the first extended collection period is used as a new extended collection starting point to obtain a second extended collection period; in the second extended collection period, each new detector to be regulated continues to collect relevant data with the corresponding extended detection time; The extended collection is stopped by iterating continuously until the detector to be controlled issues an early warning or the total duration of all extended collection periods exceeds the total duration of the preset sleep period for the first time.

Images