CN116549902A - Intelligent hydrant water outlet detection method based on accelerometer - Google Patents
Intelligent hydrant water outlet detection method based on accelerometer Download PDFInfo
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- A62C37/50—Testing or indicating devices for determining the state of readiness of the equipment
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- A—HUMAN NECESSITIES
- A62—LIFE-SAVING; FIRE-FIGHTING
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Abstract
The invention provides an intelligent fire hydrant water outlet detection method based on an accelerometer, wherein the accelerometer is arranged on an intelligent fire hydrant to be detected, a static state average value of the intelligent fire hydrant to be detected is obtained, each group of test values of the intelligent fire hydrant to be detected is read, an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value of the corresponding group of test values are calculated based on the test values and the static state average value, and the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the test values are correspondingly counted into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after being averaged; and traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, judging the water outlet state of the intelligent hydrant based on the values of the X-axis total offset, the Y-axis total offset and the Z-axis total offset, and accurately detecting the water outlet state.
Description
Technical Field
The application relates to the field of intelligent fire hydrants, in particular to an intelligent fire hydrant water outlet detection method based on an accelerometer.
Background
The intelligent fire hydrant can detect the water outlet state of the fire hydrant without changing the original fire hydrant structure, and the water outlet alarm information is remotely transmitted to the centralized control center through GPRS, so that centralized supervision of the fire hydrant is realized, and meanwhile, pipeline pressure can be monitored as required.
Among various states of the fire hydrant, the water outlet state of the fire hydrant is particularly important, and most of the intelligent fire hydrant at present adopts a water outlet probe technology to detect whether the fire hydrant normally discharges water. The water outlet probe mainly comprises a probe arranged near the water outlet of the fire hydrant, a pressure sensor or a flow sensor arranged in the probe and a signal transmission device, and the water outlet probe judges the water outlet state of the fire hydrant by detecting the water flow pressure or the water flow of the water outlet position.
However, water drops can adhere to the water outlet probe in the hydrant cavity or under the condition of strong water vapor, the situation of false water reporting occurs depending on the detection scheme of the water outlet probe, so that a supervisor cannot remotely know the real situation of water outlet; and air bubbles, particulates, or other interfering factors in the water flow may also lead to inaccurate pressure or flow measurements. Moreover, because the price of going out water probe itself is high, and if need carry out intelligent play water to traditional fire hydrant and reform transform, need dismantle the fire hydrant and set up out water probe in its play water position, there is the problem that the installation degree of difficulty is big and reform transform with high costs.
Disclosure of Invention
The embodiment of the application provides an intelligent fire hydrant goes out water detection method based on accelerometer, replaces traditional play water probe, and adopts the accelerometer of installing on intelligent fire hydrant to go out water detection, has with low costs and monitors the advantage that the water is more simple reliable.
In a first aspect, an embodiment of the present application provides an accelerometer-based intelligent hydrant water outlet detection method, where an accelerometer is disposed on an intelligent hydrant to be tested, including the following steps:
acquiring a static state average value of the intelligent fire hydrant to be tested, wherein the static state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be tested in a static state;
continuously reading each group of test values of the intelligent fire hydrant to be tested, wherein each group of test values comprises at least a plurality of test acceleration values acquired in a fixed step length, calculating an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value of the corresponding group of test values based on the test values and a stationary state average value, and correspondingly counting the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the test values into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after taking an average value;
Traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistical rules are as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, adding one to the total Z-axis offset;
if any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is larger than the number of groups in the statistics, judging that the intelligent hydrant enters a vibration stage; if the total X-axis offset, the total Y-axis offset and the total Z-axis offset are equal to 0, judging that the intelligent hydrant is in a stationary stage;
reporting water when the intelligent hydrant is switched from a stationary stage to a vibration stage; and when the intelligent fire hydrant is switched from the vibration stage to the static stage, reporting to stop water outlet.
In a second aspect, embodiments of the present application provide an accelerometer-based intelligent hydrant water outlet detection device, including:
the static state acquisition unit is used for acquiring a static state average value of the intelligent fire hydrant to be detected, wherein the static state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be detected in a static state;
The testing unit is used for continuously reading each group of testing values of the intelligent fire hydrant to be tested, wherein each group of testing values comprises at least a plurality of testing acceleration values acquired in a fixed step length, an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value corresponding to the group of testing values are calculated based on the testing values and a static state average value, and the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the testing values are correspondingly counted into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after being averaged;
the statistics unit is used for traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistics rule is as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, adding one to the total Z-axis offset;
the judging unit is used for judging that the intelligent hydrant enters the vibration stage if any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is larger than the number of groups in the statistics; if the total X-axis offset, the total Y-axis offset and the total Z-axis offset are equal to 0, judging that the intelligent hydrant is in a stationary stage; reporting water when the intelligent hydrant is switched from a stationary stage to a vibration stage; and when the intelligent fire hydrant is switched from the vibration stage to the static stage, reporting to stop water outlet.
In a third aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor is configured to run the computer program to execute the method for detecting water outlet of an intelligent hydrant based on an accelerometer.
The main contributions and innovation points of the invention are as follows:
different from the installation mode that the water outlet probe in the prior art needs to be installed at the water outlet level of the fire hydrant, the accelerometer in the scheme can be attached to or rigidly installed on the intelligent fire hydrant to realize the water outlet detection of the intelligent fire hydrant, so that the installation procedure and the cost of the intelligent fire hydrant are greatly simplified; the water outlet detection method provided by the scheme can be used for calculating the data of the accelerometer and processing the interference event so as to accurately detect the water outlet state of the hydrant without being influenced by the water flow. The cost of the accelerometer provided by the scheme is greatly reduced, which is different from the high cost of the water outlet probe in the prior art, and the accelerometer is applicable to a large number of large-scale fire hydrant paving scenes. The details of one or more embodiments of the application are set forth in the accompanying drawings and the description below to provide a more thorough understanding of the other features, objects, and advantages of the application.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
FIG. 1 is a flow chart of an accelerometer-based intelligent hydrant outlet water detection method according to an embodiment of the present application;
FIG. 2 is a detailed computational flow diagram of an accelerometer-based intelligent hydrant water outlet detection method according to an embodiment of the present application;
FIG. 3 is a schematic view of an intelligent fire hydrant equipped with an accelerometer;
fig. 4 is a schematic structural view of an accelerometer-based intelligent hydrant water outlet detection apparatus according to an embodiment of the present application;
fig. 5 is a schematic diagram of a hardware structure of an electronic device according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numbers in different drawings refer to the same or similar elements, unless otherwise indicated. The implementations described in the following exemplary embodiments do not represent all implementations consistent with one or more embodiments of the present specification. Rather, they are merely examples of apparatus and methods consistent with aspects of one or more embodiments of the present description as detailed in the accompanying claims.
It should be noted that: in other embodiments, the steps of the corresponding method are not necessarily performed in the order shown and described in this specification. In some other embodiments, the method may include more or fewer steps than described in this specification. Furthermore, individual steps described in this specification, in other embodiments, may be described as being split into multiple steps; while various steps described in this specification may be combined into a single step in other embodiments.
Example 1
Most intelligent fire hydrants at present are provided with a water outlet probe at the water outlet position of the fire hydrant, and the pressure sensor or the flow sensor of the water outlet probe is utilized to directly detect the state of water flow so as to obtain the water outlet condition, and the measurement accuracy of the mode greatly depends on the water flow condition at the water outlet position. The fire hydrant is used as municipal facilities for urban fire safety storage, and is often arranged in an outdoor environment, so that the water outlet position of the fire hydrant is easy to generate water vapor in a hot environment, condensation is generated in a cold environment, and the detection precision of a water outlet probe of the fire hydrant is influenced in any mode, so that the normal fire control requirement is influenced. And the water outlet probe needs to be modified inside the hydrant, so that the modification cost and difficulty of the mode are high.
When the fire hydrant is out of water, water can be sprayed from the fire hydrant to give a reaction force to the fire hydrant due to water pressure, so that the fire hydrant vibrates, and the inventor develops a technical scheme for reversely deducing the water outlet state of the intelligent fire hydrant by detecting the vibration condition of the intelligent fire hydrant through the accelerometer based on the phenomenon. Currently, an intelligent hydrant industry mainly adopts an accelerometer to detect whether the intelligent hydrant is impacted or damaged by foreign matters, for example, a fire-fighting pipeline water pressure monitoring device provided by a CN201921587763.5 scheme, a triaxial acceleration acquisition module arranged in the intelligent hydrant industry is used for detecting whether a hydrant cover is impacted or damaged, and the intelligent hydrant industry still needs an additional water pressure data acquisition module to acquire water pressure so as to judge a water outlet state; the position variation of the fire hydrant caused by impact is huge compared with the position variation caused by water outlet vibration, so that the method only needs to acquire data of an accelerometer and calculate the deviation between the current angle of the fire hydrant and the angle in a normal state by one layer, and the measurement in the mode cannot be directly applied to the water outlet detection of the fire hydrant. In other words, since the hydrant has large overall mass and is fixed on the ground, the reaction force generated by the water jet water outlet is tiny for the hydrant, and the water outlet detection needs to accurately know the starting and ending time of the water outlet, which results in the need of an extremely high precision accelerometer if the traditional accelerometer data processing method is adopted to judge the water outlet, thus still increasing the reconstruction cost of the hydrant.
Based on the above situation, as shown in fig. 1 and fig. 2, fig. 1 shows a water detecting method according to the present scheme in a text flow chart, and fig. 2 shows a water detecting method according to the present scheme in a logic diagram, the present scheme provides an intelligent fire hydrant water detecting method based on an accelerometer, wherein the intelligent fire hydrant to be detected is provided with the accelerometer, comprising the following steps:
acquiring a static state average value of the intelligent fire hydrant to be tested, wherein the static state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be tested in a static state;
continuously reading each group of test values of the intelligent fire hydrant to be tested, wherein each group of test values comprises at least a plurality of test acceleration values acquired in a fixed step length, calculating an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value of the corresponding group of test values based on the test values and a stationary state average value, and correspondingly counting the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the test values into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after taking an average value;
traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistical rules are as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, adding one to the total Z-axis offset;
If any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is larger than the number of groups in the statistics, judging that the intelligent hydrant enters a vibration stage; if the total X-axis offset, the total Y-axis offset and the total Z-axis offset are equal to 0, judging that the intelligent hydrant is in a stationary stage;
reporting water when the intelligent hydrant is switched from a stationary stage to a vibration stage; and when the intelligent fire hydrant is switched from the vibration stage to the static stage, reporting to stop water outlet.
According to the scheme, whether the intelligent fire hydrant continuously vibrates or not is comprehensively judged through the discrete degree of each of the XYZ three-axis directions, so that the water outlet condition is detected, the water outlet detection precision can be improved, the starting time and the ending time of continuous water outlet can be accurately judged, and the effect of detecting the water outlet of the intelligent fire hydrant by using the accelerometer is achieved.
Specifically, this scheme is applicable to the application of the intelligent fire hydrant that installs the accelerometer, and because this scheme only utilizes the discrete degree of the acceleration value of accelerometer itself to calculate, does not need the rivers that contact the play water, the accelerometer that therefore this scheme provided can laminate or install on current fire hydrant fast by rigid mounting's mode. Fig. 3 provides an embodiment of the intelligent hydrant structure, and as shown in fig. 3, the accelerometer is arranged in the hydrant cover of the hydrant in a rigid mounting manner, and of course, the accelerometer can be arranged at any position which does not affect the normal use of the hydrant. In other embodiments, the accelerometer may be directly attached to the surface of the hydrant in a conforming manner without requiring any modification to the interior of the hydrant.
In some embodiments, the acceleration sensor LIS3DH of st-meaning semiconductor company is selected as an accelerometer installed on the intelligent hydrant, and of course, the model of the accelerometer is not particularly limited in this scheme, and other accelerometers capable of meeting the requirement of test accuracy are also feasible.
In the step of acquiring a static state average value of the intelligent fire hydrant to be detected, wherein the static state average value is calculated through an initial acceleration value of the intelligent fire hydrant to be detected in a static state, the static state average value of the intelligent fire hydrant comprises an X-axis static state average value, a Y-axis static state average value and a Z-axis static state average value which correspond to XYZ-axis three directions respectively. For each intelligent fire hydrant, the average value of the static state of each intelligent fire hydrant in the static state is not necessarily the same, so the scheme needs to firstly obtain the average value of the static state of each intelligent fire hydrant in the static state to be used as a reference for judging whether water is vibrated or not.
Specifically, an initial acceleration value of the intelligent fire hydrant to be tested in a static state is obtained before water outlet judgment is carried out, wherein the initial acceleration value comprises an X-axis initial acceleration value, a Y-axis initial acceleration value and a Z-axis initial acceleration value which correspond to the three directions of the XYZ axes respectively, an X-axis static state average value is calculated by using the X-axis initial acceleration value, a Y-axis static state average value is calculated by using the Y-axis initial acceleration value, a Z-axis static state average value is calculated by using the Z-axis initial acceleration value, and the static state average value represents the gradient of the environment where the intelligent fire hydrant to be tested is located.
It should be noted that, in order to avoid errors caused by single measurement, the method uses a plurality of initial acceleration values acquired under a fixed step length to calculate a static state average value. Correspondingly, taking the average value of the X-axis initial acceleration values acquired in a plurality of fixed step sizes as the average value of the X-axis static state, taking the average value of the Y-axis initial acceleration values acquired in a plurality of fixed step sizes as the average value of the Y-axis static state, and taking the average value of the Z-axis initial acceleration values acquired in a plurality of fixed step sizes as the average value of the Z-axis static state.
In the step of continuously reading each group of test values of the intelligent fire hydrant to be tested, wherein each group of test values comprises at least a plurality of test acceleration values collected in a fixed step length, each test acceleration value consists of an X-axis test acceleration value, a Y-axis test acceleration value and a Y-axis test acceleration value which respectively correspond to an XYZ-axis three-way direction. Correspondingly, in the step of calculating the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value corresponding to the set of test values based on the test values and the stationary state average value, the X-axis deviation variance values of the plurality of X-axis test acceleration values and the X-axis stationary state average value in each set of test values are calculated, the Y-axis deviation variance values of the plurality of Y-axis test acceleration values and the X-axis stationary state average value in each set of test values are calculated, and the Z-axis deviation variance values of the plurality of Z-axis test acceleration values and the X-axis stationary state average value in each set of test values are calculated.
Specifically, the formula for calculating the X-axis deviation variance value is as follows:
wherein the method comprises the steps ofFor testing the acceleration value, +.>For the mean value of the X-axis rest state, n is the number of X-axis test acceleration values in each set of test values, +.>Is the X-axis deviation variance value;
the formula for calculating the Y-axis offset variance value is as follows:
wherein the method comprises the steps ofFor testing the acceleration value, +.>For the average value of the stationary state of the Y axis, n is the number of acceleration values of the Y axis test in each set of test values, +.>Is Y-axis deviation variance value;
the formula for calculating the Z-axis offset variance value is as follows:
wherein the method comprises the steps ofFor testing the acceleration value, +.>For the mean value of the Z-axis rest state, n is the number of Z-axis test acceleration values in each set of test values, +.>Is the Z-axis deviation variance value.
It should be noted that the number of the substrates,for the test acceleration values including the X-axis test acceleration value, the Y-axis test acceleration value and the Z-axis test acceleration value +.>For calculating the corresponding deviation valueTest acceleration values in the axial direction.
According to the scheme, each test acceleration value of each group of test values is calculated to obtain an X-axis offset variance of the group of test values, the X-axis offset variance of the group of test values is calculated to be averaged and then is counted in an X-axis sliding array, each test acceleration value of each group of test values is calculated to obtain a Y-axis offset variance of the group of test values, the Y-axis offset variance of the group of test values is counted in a Y-axis sliding array after the Y-axis offset variance of the group of test values is averaged, and each test acceleration value of each group of test values is calculated to obtain a Z-axis offset variance of the group of test values, and the Z-axis offset variances of the group of test values are counted in a Z-axis sliding array after the Z-axis offset variances of the group of test values are averaged. That is, each set of test values corresponds to a value in the sliding array.
It should be noted that, in this embodiment, a continuous plurality of sets of test values are used to perform statistical analysis during the water outlet detection, in some embodiments, three continuous sets of test values are used to perform calculation, and when the fixed step length is set to 5s, the time window of the sliding array at this time is 15s. In addition, in order to ensure that the data volume of the sliding array is not too redundant, the scheme adopts an array shifting mode to refresh the data in the sliding array.
And traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistical rules are as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, in the step of adding one to the Z-axis total offset, initializing the X-axis total offset, the Y-axis total offset and the Z-axis total offset to be 0, comparing each value in the X-axis sliding array with the X-axis preset value, and if the value is larger than the X-axis preset value, adding one to the X-axis total offset; comparing each numerical value in the Y-axis sliding array with a Y-axis preset value, and adding one to the total Y-axis offset if the numerical value of each group is larger than the Y-axis preset value; and comparing each numerical value in the Z-axis sliding array with a Z-axis preset value, and if each numerical value is larger than the Z-axis preset value, adding one to the Z-axis total offset. It should be noted that, in this scheme, the total offset is calculated once by using the offset variance value corresponding to a set of test values in the sliding array, specifically, the total X-axis offset is calculated once by using the X-axis offset variance value corresponding to the X-axis test values in the X-axis sliding array.
In addition, if any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is greater than 0 but does not meet the vibration stage condition, the intelligent hydrant is judged to be in the transition stage. When the intelligent fire hydrant is in the transition stage, the judgment of the original stage is kept, and the setting of the transition stage is the transition of some artificial or accidental situations.
It should be noted that, this scheme can also judge the state of draining that the intelligent fire hydrant that awaits measuring is located at present through the default, in other words, set up different default corresponding to different states of draining. The water discharge state of the scheme includes, but is not limited to, any one of a small water state, a medium water state and a large water state. The X-axis preset value, the Y-axis preset value and the Z-axis preset value can be directly fixed variances, but the data measured by different accelerometers have deviations, and the corresponding calculated variances have deviations, so in a preferred embodiment, the X-axis preset value, the Y-axis preset value and the Z-axis preset value are automatically calculated and determined according to the actual condition of the intelligent fire hydrant to be tested, and particularly, a tester can conduct a water discharge test on the intelligent fire hydrant, and in the small water, medium water and large water stages, a Bluetooth transmission informing program is used for informing that the intelligent fire hydrant is in a water discharge stage at the moment, and the program can automatically calculate a specific threshold value of the position where the fire hydrant is located and takes the specific threshold value as the fixed variances.
Specifically, the X-axis preset value, the Y-axis preset value, and the Z-axis preset value are obtained as follows:
acquiring a reset threshold command, and acquiring a rest state average value of the intelligent fire hydrant to be tested, wherein the rest state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be tested in a rest state;
the method comprises the steps that a tester discharges water to an intelligent fire hydrant to be tested and obtains a water discharge instruction, wherein the water discharge instruction comprises one of a small water state, a medium water state and a large water state, each group of debugging test values of the intelligent fire hydrant to be tested in the water discharge state are continuously read, each group of debugging test values comprises at least a plurality of debugging acceleration values collected in a fixed step length, an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value corresponding to the group of debugging test values are calculated based on the debugging test values and a static state average value, and the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value are correspondingly counted into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after taking an average value;
calculating a variance value: summing the values in the X-axis sliding array and then taking the average value to obtain an X-axis variance value of the current water discharge state, summing the values in the Y-axis sliding array and then taking the average value to obtain a Y-axis variance value of the current water discharge state, and summing the values in the Z-axis sliding array and then taking the average value to obtain a Z-axis variance value of the current water discharge state;
The X-axis preset value is calculated based on the X-axis variance values of different water discharge states, the Y-axis preset value is calculated based on the Y-axis variance values of different water discharge states, and the Z-axis preset value is calculated based on the Z-axis variance values of different water discharge states.
In the step of acquiring the reset threshold command, a tester sends the reset threshold command to the system to inform the system that the X-axis preset value, the Y-axis preset value and the Z-axis preset value need to be adjusted. Reference is made to the above description for technical means for obtaining the average value of the rest state of the intelligent fire hydrant to be tested, and the description is not repeated.
In the step of ' discharging water and acquiring a water discharge instruction by a tester ' of the intelligent fire hydrant to be tested ', the tester is informed of the system initialization and the water discharge test by the tester in a feedback way, and the tester is informed of the system entering a water discharge state and transmitting the water discharge instruction.
In the scheme, each group of debugging test values of the intelligent fire hydrant to be tested in a water draining state are continuously read, each group of debugging test values comprises at least a plurality of debugging acceleration values acquired in a fixed step length, an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value corresponding to the group of debugging test values are calculated based on the debugging test values and a static state average value, the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value are correspondingly counted into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after being averaged, and the technical content of the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array is correspondingly counted into the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation array after being averaged.
The formula for "calculate variance value" is as follows:
wherein the method comprises the steps ofFor values in the X-axis sliding array, +.>N is the number of the numerical values of the X-axis sliding array;
wherein the method comprises the steps ofFor values in the Y-axis sliding array, +.>N is the number of the numerical values of the Y-axis sliding array;
wherein the method comprises the steps ofFor sliding numbers in the array on the Z axisValue of->And n is the number of the numerical values of the Z-axis sliding array.
In the step of calculating an X-axis preset value based on X-axis variance values of different water discharging states, calculating a Y-axis preset value based on Y-axis variance values of different water discharging states, calculating a Z-axis preset value based on Z-axis variance values of different water discharging states, sorting the current water discharging state, the middle water state and the big water state, taking the difference value of the X-axis variance value of the current water discharging state and the X-axis variance value of the water discharging state of the rear adjacent position plus the sensor error to obtain the X-axis preset value of the water discharging state of the current water discharging state converted into the rear adjacent position, taking the difference value of the Y-axis variance value of the current water discharging state and the Y-axis variance value of the water discharging state of the rear adjacent position plus the sensor error to obtain the Y-axis preset value of the water discharging state of the rear adjacent position converted, and taking the difference value of the Z-axis variance value of the current water discharging state and the Z-axis variance value of the rear adjacent position plus the sensor error to obtain the Y-axis preset value of the water discharging state converted into the rear adjacent position.
For example, taking the difference between the X-axis variance value in the rest state and the X-axis variance value in the water draining state in the small water state, adding the X-axis variance value in the rest state and adding the sensor error to obtain an X-axis preset value for converting the rest state into the small water; taking the difference value of the Y-axis variance value of the static state and the Y-axis variance value of the water draining state of the small water state, adding the Y-axis variance value of the static state and adding the sensor error to obtain a Y-axis preset value for converting the static state into the small water; and obtaining a Z-axis preset value for converting the static state into the small water by taking the difference value of the Z-axis variance value of the static state and the Z-axis variance value of the water draining state of the small water, and adding the sensor error. The X-axis preset value, the Y-axis preset value and the Z-axis preset value of the small water state correspond to the X-axis preset value, the Y-axis preset value and the Z-axis preset value of the stationary state converted into the small water state; the X-axis preset value, the Y-axis preset value and the Z-axis preset value of the reclaimed water state correspond to the X-axis preset value, the Y-axis preset value and the Z-axis preset value of the reclaimed water state converted from the small water state; the X-axis preset value, the Y-axis preset value and the Z-axis preset value of the large water state correspond to the X-axis preset value, the Y-axis preset value and the Z-axis preset value of the medium water state converted into the large water state.
The applicant has additionally described that: the average value of variance in the static state is naturally 0 in the ideal situation, but in practical use, the data acquired by the acceleration sensor can have larger or smaller deviation each time, and the deviation is different each time, so that the data deviation is caused. For example, a value of 1g of gravitational acceleration transmitted in a normal sensor should also correspond to 1g, but in normal use, the value read would be erratic from 0.98g to 1.02g without disturbing the sensor at all and leaving it completely stationary, where deviations are produced. When the difference is ignored, the threshold value is obviously reduced by directly calculating 0, so the scheme adds sensor errors to correct the errors.
The mean value of the stationary state variance should be 0, and an E should be added to the subsequent value to indicate the sensor measurement error.
The scheme provides an intelligent fire hydrant water outlet detection method based on the accelerometer, the scheme does not need to improve the internal structure of the fire hydrant, but only uses the accelerometer arranged on the intelligent fire hydrant to test, and when the subsequent algorithm is updated, only needs to update remote firmware, so that the method has the advantage of strong adaptability.
Example two
Based on the same conception, referring to fig. 4, the application further provides an intelligent hydrant water outlet detection device based on an accelerometer, comprising:
the static state acquisition unit is used for acquiring a static state average value of the intelligent fire hydrant to be detected, wherein the static state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be detected in a static state;
the testing unit is used for continuously reading each group of testing values of the intelligent fire hydrant to be tested, wherein each group of testing values comprises at least a plurality of testing acceleration values acquired in a fixed step length, an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value corresponding to the group of testing values are calculated based on the testing values and a static state average value, and the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the testing values are correspondingly counted into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after being averaged;
the statistics unit is used for traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistics rule is as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, adding one to the total Z-axis offset;
The judging unit is used for judging that the intelligent hydrant enters the vibration stage if any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is larger than the number of groups in the statistics; if the total X-axis offset, the total Y-axis offset and the total Z-axis offset are equal to 0, judging that the intelligent hydrant is in a stationary stage; reporting water when the intelligent hydrant is switched from a stationary stage to a vibration stage; and when the intelligent fire hydrant is switched from the vibration stage to the static stage, reporting to stop water outlet.
For the technical content of the second embodiment, which is the same as the first embodiment, refer to the description of the first embodiment, and the description of the second embodiment is not repeated.
Example III
The present embodiment also provides an electronic device, referring to fig. 5, comprising a memory 304 and a processor 302, the memory 304 having stored therein a computer program, the processor 302 being configured to run the computer program to perform the steps of any of the above-described embodiments of the accelerometer-based intelligent hydrant water outlet detection method.
In particular, the processor 302 may include a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or may be configured to implement one or more integrated circuits of embodiments of the present application.
Memory 304 may include, among other things, mass storage 304 for data or instructions. By way of example, and not limitation, memory 304 may comprise a Hard Disk Drive (HDD), floppy disk drive, solid State Drive (SSD), flash memory, optical disk, magneto-optical disk, tape, or Universal Serial Bus (USB) drive, or a combination of two or more of these. Memory 304 may include removable or non-removable (or fixed) media, where appropriate. Memory 304 may be internal or external to the data processing apparatus, where appropriate. In a particular embodiment, the memory 304 is a Non-Volatile (Non-Volatile) memory. In particular embodiments, memory 304 includes Read-only memory (ROM) and Random Access Memory (RAM). Where appropriate, the ROM may be a mask-programmed ROM, a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), an electrically rewritable ROM (EAROM) or FLASH memory (FLASH) or a combination of two or more of these. The RAM may be Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM) where appropriate, and the DRAM may be fast page mode dynamic random access memory 304 (FPMDRAM), extended Data Output Dynamic Random Access Memory (EDODRAM), synchronous Dynamic Random Access Memory (SDRAM), or the like.
Memory 304 may be used to store or cache various data files that need to be processed and/or communicated, as well as possible computer program instructions for execution by processor 302.
The processor 302 reads and executes the computer program instructions stored in the memory 304 to implement any of the intelligent hydrant water detection methods according to the above embodiments.
Optionally, the electronic apparatus may further include a transmission device 306 and an input/output device 308, where the transmission device 306 is connected to the processor 302, and the input/output device 308 is connected to the processor 302.
The transmission device 306 may be used to receive or transmit data via a network. Specific examples of the network described above may include a wired or wireless network provided by a communication provider of the electronic device. In one example, the transmission device includes a network adapter (Network Interface Controller, simply referred to as NIC) that can connect to other network devices through the base station to communicate with the internet. In one example, the transmission device 306 may be a Radio Frequency (RF) module, which is used to communicate with the internet wirelessly.
The input-output device 308 is used to input or output information. In this embodiment, the input information may be an accelerometer, and the output information may be a water outlet state, and the like.
Alternatively, in the present embodiment, the above-mentioned processor 302 may be configured to execute the following steps by a computer program:
acquiring a static state average value of the intelligent fire hydrant to be tested, wherein the static state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be tested in a static state;
continuously reading each group of test values of the intelligent fire hydrant to be tested, wherein each group of test values comprises at least a plurality of test acceleration values acquired in a fixed step length, calculating an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value of the corresponding group of test values based on the test values and a stationary state average value, and correspondingly counting the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the test values into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after taking an average value;
traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistical rules are as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, adding one to the total Z-axis offset;
If any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is larger than the number of groups in the statistics, judging that the intelligent hydrant enters a vibration stage; if the total X-axis offset, the total Y-axis offset and the total Z-axis offset are equal to 0, judging that the intelligent hydrant is in a stationary stage;
reporting water when the intelligent hydrant is switched from a stationary stage to a vibration stage; and when the intelligent fire hydrant is switched from the vibration stage to the static stage, reporting to stop water outlet.
It should be noted that, specific examples in this embodiment may refer to examples described in the foregoing embodiments and alternative implementations, and this embodiment is not repeated herein.
In general, the various embodiments may be implemented in hardware or special purpose circuits, software, logic or any combination thereof. Some aspects of the invention may be implemented in hardware, while other aspects may be implemented in firmware or software which may be executed by a controller, microprocessor or other computing device, although the invention is not limited thereto. While various aspects of the invention may be illustrated and described as block diagrams, flow charts, or using some other pictorial representation, it is well understood that these blocks, apparatus, systems, techniques or methods described herein may be implemented in, as non-limiting examples, hardware, software, firmware, special purpose circuits or logic, general purpose hardware or controller or other computing devices, or some combination thereof.
Embodiments of the invention may be implemented by computer software executable by a data processor of a mobile device, such as in a processor entity, or by hardware, or by a combination of software and hardware. Computer software or programs (also referred to as program products) including software routines, applets, and/or macros can be stored in any apparatus-readable data storage medium and they include program instructions for performing particular tasks. The computer program product may include one or more computer-executable components configured to perform embodiments when the program is run. The one or more computer-executable components may be at least one software code or a portion thereof. In addition, in this regard, it should be noted that any blocks of the logic flows as illustrated may represent program steps, or interconnected logic circuits, blocks and functions, or a combination of program steps and logic circuits, blocks and functions. The software may be stored on a physical medium such as a memory chip or memory block implemented within a processor, a magnetic medium such as a hard disk or floppy disk, and an optical medium such as, for example, a DVD and its data variants, a CD, etc. The physical medium is a non-transitory medium.
It should be understood by those skilled in the art that the technical features of the above embodiments may be combined in any manner, and for brevity, all of the possible combinations of the technical features of the above embodiments are not described, however, they should be considered as being within the scope of the description provided herein, as long as there is no contradiction between the combinations of the technical features.
The foregoing examples merely represent several embodiments of the present application, the description of which is more specific and detailed and which should not be construed as limiting the scope of the present application in any way. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application shall be subject to the appended claims.
Claims (10)
1. The intelligent fire hydrant water outlet detection method based on the accelerometer is characterized by comprising the following steps of:
acquiring a static state average value of the intelligent fire hydrant to be tested, wherein the static state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be tested in a static state;
Continuously reading each group of test values of the intelligent fire hydrant to be tested, wherein each group of test values comprises at least a plurality of test acceleration values acquired in a fixed step length, calculating an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value of the corresponding group of test values based on the test values and a stationary state average value, and correspondingly counting the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the test values into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after taking an average value;
traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistical rules are as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, adding one to the total Z-axis offset;
if any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is larger than the number of groups in the statistics, judging that the intelligent hydrant enters a vibration stage; if the total X-axis offset, the total Y-axis offset and the total Z-axis offset are equal to 0, judging that the intelligent hydrant is in a stationary stage;
Reporting water when the intelligent hydrant is switched from a stationary stage to a vibration stage; and when the intelligent fire hydrant is switched from the vibration stage to the static stage, reporting to stop water outlet.
2. The intelligent hydrant water outlet detection method based on the accelerometer according to claim 1, wherein initial acceleration values of the intelligent hydrant to be detected in a static state are obtained, wherein the initial acceleration values comprise an X-axis initial acceleration value, a Y-axis initial acceleration value and a Z-axis initial acceleration value which respectively correspond to three directions of an XYZ axis, an X-axis static state average value is calculated by using the X-axis initial acceleration value, a Y-axis static state average value is calculated by using the Y-axis initial acceleration value, and a Z-axis static state average value is calculated by using the Z-axis initial acceleration value.
3. The intelligent hydrant water outlet detection method based on the accelerometer according to claim 2, wherein an average value of the initial acceleration values of the X axis collected in a plurality of fixed steps is taken as an average value of the static state of the X axis, an average value of the initial acceleration values of the Y axis collected in a plurality of fixed steps is taken as an average value of the static state of the Y axis, and an average value of the initial acceleration values of the Z axis collected in a plurality of fixed steps is taken as an average value of the static state of the Z axis.
4. The intelligent hydrant water outlet detection method based on the accelerometer according to claim 1, wherein each test acceleration value is composed of an X-axis test acceleration value, a Y-axis test acceleration value and a Y-axis test acceleration value which correspond to three directions of XYZ axes respectively, X-axis deviation variance values of a plurality of X-axis test acceleration values and an average value of X-axis static states in each set of test values are calculated, Y-axis deviation variance values of a plurality of Y-axis test acceleration values and an average value of X-axis static states in each set of test values are calculated, and Z-axis deviation variance values of a plurality of Z-axis test acceleration values and an average value of X-axis static states in each set of test values are calculated.
5. The method for detecting water outlet of intelligent fire hydrant based on accelerometer according to claim 1, wherein if any one of the total X-axis offset, the total Y-axis offset and the total Z-axis offset is greater than 0 but does not satisfy the condition of vibration phase, the intelligent fire hydrant is judged to be in transition phase, and the judgment of the original phase is maintained when the intelligent fire hydrant is in transition phase.
6. The intelligent hydrant water outlet detection method based on the accelerometer according to claim 1, wherein different X-axis preset values, Y-axis preset values and Z-axis preset values are set corresponding to different water outlet states, and the water outlet states include, but are not limited to, any one of a small water state, a medium water state and a large water state.
7. The intelligent fire hydrant water outlet detection method based on the accelerometer according to claim 1, wherein a reset threshold command is obtained, and a rest state average value of the intelligent fire hydrant to be detected is obtained, wherein the rest state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be detected in a rest state;
the method comprises the steps that a tester discharges water to an intelligent fire hydrant to be tested and obtains a water discharge instruction, wherein the water discharge instruction comprises one of a small water state, a medium water state and a large water state, each group of debugging test values of the intelligent fire hydrant to be tested in the water discharge state are continuously read, each group of debugging test values comprises at least a plurality of debugging acceleration values collected in a fixed step length, an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value corresponding to the group of debugging test values are calculated based on the debugging test values and a static state average value, and the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value are correspondingly counted into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after taking an average value;
calculating a variance value: summing the values in the X-axis sliding array and then taking the average value to obtain an X-axis variance value of the current water discharge state, summing the values in the Y-axis sliding array and then taking the average value to obtain a Y-axis variance value of the current water discharge state, and summing the values in the Z-axis sliding array and then taking the average value to obtain a Z-axis variance value of the current water discharge state; the X-axis preset value is calculated based on the X-axis variance values of different water discharge states, the Y-axis preset value is calculated based on the Y-axis variance values of different water discharge states, and the Z-axis preset value is calculated based on the Z-axis variance values of different water discharge states.
8. The intelligent hydrant water outlet detection method based on the accelerometer according to claim 7 is characterized in that the method comprises the steps of sorting a static state, a small water state, a medium water state and a large water state, taking the difference value of the current water outlet state X-axis variance value and the water outlet state X-axis variance value of a rear adjacent place, adding the sensor error to obtain an X-axis preset value of the current water outlet state converted into the water outlet state of the rear adjacent place, taking the difference value of the current water outlet state Y-axis variance value and the water outlet state Y-axis variance value of the rear adjacent place, adding the sensor error to obtain a Y-axis preset value of the current water outlet state converted into the water outlet state of the rear adjacent place, and taking the difference value of the current water outlet state Z-axis variance value and the water outlet state Z-axis variance value of the rear adjacent place, adding the sensor error to obtain the X-axis preset value of the current water outlet state converted into the water outlet state of the rear adjacent place.
9. Intelligent hydrant goes out water detection device based on accelerometer, its characterized in that includes:
the static state acquisition unit is used for acquiring a static state average value of the intelligent fire hydrant to be detected, wherein the static state average value is obtained by calculating an initial acceleration value of the intelligent fire hydrant to be detected in a static state;
The testing unit is used for continuously reading each group of testing values of the intelligent fire hydrant to be tested, wherein each group of testing values comprises at least a plurality of testing acceleration values acquired in a fixed step length, an X-axis deviation variance value, a Y-axis deviation variance value and a Z-axis deviation variance value corresponding to the group of testing values are calculated based on the testing values and a static state average value, and the X-axis deviation variance value, the Y-axis deviation variance value and the Z-axis deviation variance value of the testing values are correspondingly counted into an X-axis sliding array, a Y-axis sliding array and a Z-axis sliding array after being averaged;
the statistics unit is used for traversing and counting a plurality of groups of numerical values and corresponding preset values in the X-axis sliding array, the Y-axis sliding array and the Z-axis sliding array to obtain an X-axis total offset, a Y-axis total offset and a Z-axis total offset, wherein the statistics rule is as follows: if the value in the X-axis sliding array is larger than the X-axis preset value, adding one to the total X-axis offset; if the value in the Y-axis sliding array is larger than the Y-axis preset value, adding one to the total Y-axis offset; if the value in the Z-axis sliding array is larger than the Z-axis preset value, adding one to the total Z-axis offset;
the judging unit is used for judging that the intelligent hydrant enters the vibration stage if any value of the X-axis total offset, the Y-axis total offset and the Z-axis total offset is larger than the number of groups in the statistics; if the total X-axis offset, the total Y-axis offset and the total Z-axis offset are equal to 0, judging that the intelligent hydrant is in a stationary stage; reporting water when the intelligent hydrant is switched from a stationary stage to a vibration stage; and when the intelligent fire hydrant is switched from the vibration stage to the static stage, reporting to stop water outlet.
10. An electronic device comprising a memory and a processor, wherein the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the intelligent fire hydrant outlet detection method according to any one of claims 1 to 8.
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