CN114088128B - Sensor determination method, device, storage medium and equipment - Google Patents
Sensor determination method, device, storage medium and equipment Download PDFInfo
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Abstract
The invention discloses a sensor determining method, a device, a storage medium and equipment, which relate to the technical field of sensors and are used for determining whether a sensor is aged or not so as to save human resources, and comprise the following steps: acquiring current acquisition data sent by a target sensor; acquiring current acquisition data of a target reference sensor under the condition that the current acquisition data of the target sensor meets corresponding alarm conditions; the correlation coefficient between the target reference sensor and the target sensor is greater than a first threshold; and under the condition that the current acquired data of the target reference sensor does not meet the corresponding alarm condition, determining that the target sensor is an aging sensor.
Description
Technical Field
The present invention relates to the field of sensor technologies, and in particular, to a method and apparatus for determining a sensor, a storage medium, and a device.
Background
Current monitoring means for critical facilities (such as bridges and tunnels) in the traffic infrastructure mainly comprise in-situ monitoring, i.e. a plurality of types of sensors are distributed at the critical points, and the running state of the traffic infrastructure is perceived in real time. Further, the sensor converts the perceived running state into collected data and sends the collected data to the server monitoring platform so as to monitor the running state of the traffic infrastructure.
As the time of the traffic infrastructure that has been put into service increases, and the location, environment, and type of equipment in which the sensors are installed, the sensors are aged to different extents. The current method for determining whether the sensor is aged is as follows: when a certain sensor initiates an alarm aiming at the running state of a certain traffic infrastructure, the sensor is manually patrolled and examined on site, and the sensor is confirmed to be aged under the condition that the actual running state of the traffic infrastructure is confirmed to be good. However, the above method for determining whether the sensor is aged increases the number of manual inspection, which results in waste of human resources.
Disclosure of Invention
The invention provides a sensor determining method, a sensor determining device, a storage medium and sensor determining equipment, which are used for determining whether a sensor is aged or not so as to save human resources.
In order to achieve the above purpose, the invention adopts the following technical scheme:
in a first aspect, a method for determining a sensor is provided, including: acquiring current acquisition data sent by a target sensor; acquiring current acquisition data of a target reference sensor under the condition that the current acquisition data of the target sensor meets corresponding alarm conditions; the correlation coefficient between the target reference sensor and the target sensor is greater than a first threshold; and under the condition that the current acquired data of the target reference sensor does not meet the corresponding alarm condition, determining that the target sensor is an aging sensor.
In one possible implementation manner, the method further includes: acquiring historical acquisition data of a plurality of candidate reference sensors; each candidate reference sensor meets at least one of a life cycle greater than a preset duration, an installation environment quality level greater than a preset level, and a perceived accuracy less than a preset accuracy; according to the historical acquisition data of the target sensor and the historical acquisition data of each candidate reference sensor, determining a correlation coefficient between the target sensor and each candidate reference sensor, and determining the candidate reference sensor with the correlation coefficient larger than a first threshold value as the target reference sensor.
In one possible implementation manner, the method further includes: acquiring historical acquisition data of the aging sensor, and determining an aging coefficient of the aging sensor according to the current acquisition data and the historical acquisition data of the aging sensor; and correcting the current acquired data of the aging sensor according to the aging coefficient.
In one possible implementation, determining an aging coefficient of the aging sensor based on current and historical acquisition data of the aging sensor includes: determining a correlation coefficient between the current acquisition data and the historical acquisition data of the aging sensor according to the current acquisition data and the historical acquisition data of the aging sensor; determining an aging coefficient according to a correlation coefficient between current acquired data and historical acquired data of the aging sensor; the aging coefficient is positively correlated with a correlation coefficient between current and historical acquisition data of the aging sensor.
In one possible implementation, the "correcting the current acquired data of the aging sensor according to the aging coefficient" includes:
and correcting the current acquired data of the aging sensor according to the aging coefficient under the condition that the current acquired data of the aging sensor is uncorrected data.
In a second aspect, there is provided a sensor determining apparatus comprising: an acquisition unit and a determination unit; the acquisition unit is used for acquiring the current acquisition data sent by the target sensor; the acquisition unit is also used for acquiring the current acquisition data of the target reference sensor under the condition that the current acquisition data of the target sensor meets the corresponding alarm condition; the correlation coefficient between the target reference sensor and the target sensor is greater than a first threshold; and the determining unit is used for determining that the target sensor is an aging sensor under the condition that the current acquired data of the target reference sensor does not meet the corresponding alarm condition.
In a possible implementation manner, the acquiring unit is further configured to acquire historical acquisition data of a plurality of candidate reference sensors; each candidate reference sensor meets at least one of a life cycle greater than a preset duration, an installation environment quality level greater than a preset level, and a perceived accuracy less than a preset accuracy; and the determining unit is also used for determining the correlation coefficient between the target sensor and each candidate reference sensor according to the historical acquisition data of the target sensor and the historical acquisition data of each candidate reference sensor, and determining the candidate reference sensor with the correlation coefficient larger than the first threshold value as the target reference sensor.
In a possible implementation manner, the determining device further comprises a correction unit; the acquisition unit is also used for acquiring historical acquisition data of the aging sensor; the determining unit is also used for determining the aging coefficient of the aging sensor according to the current acquired data and the historical acquired data of the aging sensor; and the correction unit is used for correcting the current acquired data of the aging sensor according to the aging coefficient.
In a possible implementation manner, the determining unit is specifically configured to: determining a correlation coefficient between the current acquisition data and the historical acquisition data of the aging sensor according to the current acquisition data and the historical acquisition data of the aging sensor; determining an aging coefficient according to a correlation coefficient between current acquired data and historical acquired data of the aging sensor; the aging coefficient is positively correlated with a correlation coefficient between current and historical acquisition data of the aging sensor.
In one possible implementation, the correction unit is configured to: the method is particularly used for correcting the current acquired data of the aging sensor according to the aging coefficient under the condition that the current acquired data of the aging sensor is uncorrected data. .
In a third aspect, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by an electronic device, cause the electronic device to perform the sensor determination method of the first aspect.
In a fourth aspect, there is provided a server comprising: a processor and a memory; wherein the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the server, cause the server to perform the sensor determination method of the first aspect.
The invention provides a method, a device, a storage medium and equipment for determining a sensor, wherein a server acquires current acquisition data sent by a target sensor; under the condition that the current acquisition data of the target sensor meets the corresponding alarm condition, the server acquires the current acquisition data of the target reference sensor; the correlation coefficient between the target reference sensor and the target sensor is greater than a first threshold. That is, when it is determined that the data collected by the target sensor gives an alarm, the server refers to the collected data of the current target reference sensor. In the case where the currently acquired data of the target reference sensor does not trigger an alarm, the server determines that the target sensor triggers an alarm because of aging. That is, the present invention provides an object reference sensor that is strongly associated with the object sensor, and in the event that the object sensor triggers an alarm, the server will reference the data collected by the object reference sensor. Under the condition that the reference target reference sensor does not trigger an alarm, the server confirms that the alarm is an error alarm caused by the aging of the target sensor, so that a work order for manual inspection cannot be initiated, the number of times of manual inspection is reduced, and the waste of human resources is avoided.
Drawings
FIG. 1 is a schematic diagram of a sensor determining system according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a sensor determining method according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a second embodiment of a sensor determining method;
FIG. 4 is a flowchart of a sensor determining method according to an embodiment of the present invention;
FIG. 5 is a flowchart of a method for determining a sensor according to an embodiment of the present invention;
FIG. 6 is a flowchart of a sensor determining method according to an embodiment of the present invention;
FIG. 7 is a schematic diagram of a sensor determining apparatus according to an embodiment of the present invention;
fig. 8 is a schematic diagram of a server according to an embodiment of the present invention;
fig. 9 is a schematic diagram of a server according to a second embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the accompanying drawings in the embodiments of the present invention.
In the description of the embodiments of the present invention, unless otherwise indicated, "/" means "or" and, for example, A/B may mean A or B. "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. Further, "at least one", "a plurality" means two or more. The terms "first," "second," and the like do not limit the number and order of execution, and the terms "first," "second," and the like do not necessarily differ.
The sensor determining method provided by the embodiment of the invention can be applied to a determining system. Fig. 1 shows a schematic diagram of a construction of the determination system. As shown in fig. 1, the determining system 10 is configured to reduce the number of manual inspection, and avoid waste of human resources. The determination system 10 comprises a server 11, a plurality of sensors (fig. 1 shows by way of example the sensor 12 and the sensor 13, in practice there may be more sensors) and a gateway device 14. The server 11 is connected to the gateway device 14. Gateway device 14 is connected to a plurality of sensors. The server 11 and the gateway device 14 may be connected in a wired manner or may be connected in a wireless manner, which is not limited in the embodiment of the present invention. The gateway device 14 may be connected to the plurality of sensors by a wired manner or may be connected to the plurality of sensors by a wireless manner, which is not limited in the embodiment of the present invention.
The plurality of sensors may be used to sense the operational status of the traffic infrastructure and convert the sensed operational status into collected data and then transmit the collected data to gateway device 14.
The gateway device 14 receives the acquired data transmitted from the plurality of sensors, and transmits the received acquired data transmitted from the plurality of sensors to the server 11.
The server 11 may be configured to obtain the collected data sent by the gateway device 14 and monitor the traffic infrastructure based on the obtained collected data. When the acquired data of any one of the plurality of sensors (e.g., sensor 12) exceeds the alarm threshold corresponding to that sensor (sensor 12), the server triggers an alarm for that sensor (sensor 12).
The server 11 may be a cloud server or other servers. Alternatively, the server 11 may be a single server, a server cluster, a cloud server, or the like.
In practical applications, the plurality of sensors may be sensors for monitoring bridges, or may be sensors for monitoring ports, which are not limited herein. The plurality of sensors may include an inclination type sensor (inclinometer), a settlement type sensor (hydrostatic level), a displacement type sensor, a slit type sensor, a deformation type sensor, a pressure type sensor, and the like.
FIG. 2 is a flow diagram illustrating a method of sensor determination according to some example embodiments. In some embodiments, the above-described sensor determination method may be applied to a server or other similar device as shown in fig. 1.
As shown in fig. 2, the method for determining a sensor provided in the embodiment of the present invention includes the following steps S201 to S205.
S201, the server acquires current acquisition data sent by the target sensor.
Specifically, the current collected data sent by the target sensor may include: an infrastructure ID associated with the target sensor, location information of the installation of the target sensor, an ID of the target sensor, a gateway device ID connected to the target sensor, a time of data collection by the target sensor, a physical quantity of data collection by the target sensor, and a unit corresponding to the data collection by the target sensor.
As one possible implementation, the target sensor periodically reports the current collected data through the gateway device in which the target sensor is located. Correspondingly, the server periodically receives the current acquisition data sent by the target sensor.
Illustratively, pressure-type sensor A will collect data: 7600 (physical quantity value), KN (unit corresponding to pressure data), 2021-10-21:19:35:36 (time of acquisition), 2301 (infrastructure ID associated with pressure-type sensor a), (116.40, 39.90) (target sensor-mounted position information), P26 (pressure-type sensor a ID), 8517629900 (gateway device ID connected to pressure-type sensor a). The pressure sensor a transmits the data to the gateway device. The gateway device transmits the data to the server.
As another possible implementation manner, the server acquires the current acquisition data sent by the target sensor through the gateway device in real time.
Correspondingly, the target sensor reports the current acquired data through the gateway equipment in real time.
It can be appreciated that the target sensor continuously senses the operational state of the traffic infrastructure and converts the operational state into the collected data before the server obtains the current collected data sent by the target sensor, which is sent to the server periodically or in real time through the gateway.
S202, the server judges whether the current acquired data sent by the target sensor meets a first alarm condition.
As a possible implementation manner, the server acquires the alarm threshold corresponding to the target sensor, and judges whether the current acquired data sent by the target sensor is larger than or smaller than the alarm threshold corresponding to the target sensor.
The target sensor is an edge pier support sensor, and the server obtains alarm conditions corresponding to the support sensor as follows: the physical quantity value in the acquired data of the side pier support sensor is larger than the alarm threshold 2000. The server acquires the physical quantity value 2300 in the current acquired data of the side pier support sensor, judges that the physical quantity value 2300 is larger than the alarm threshold 2000, and the current acquired data of the side pier support sensor meets the alarm condition.
S203, the server acquires the current acquisition data of the target reference sensor under the condition that the current acquisition data of the target sensor meets the corresponding alarm condition.
Wherein a correlation coefficient between the target reference sensor and the target sensor is greater than a first threshold.
As one possible implementation, in the case where the current collected data of the target sensor satisfies the alarm corresponding to the target sensor, the server determines the target reference sensor and then acquires the current collected data of the target reference sensor in real time.
The correlation coefficient between the target reference sensor and the target sensor being greater than the first threshold value indicates a strong correlation between the target reference sensor and the target sensor.
Regarding the correlation coefficient between the target reference sensor and the target sensor, reference may be made to the following description of the embodiments of the present application, and the description thereof will not be repeated here.
It should be noted that the target sensor and the target reference sensor may be sensors belonging to the same gateway device.
In another case, under the condition that the current acquired data of the target sensor does not meet the alarm condition corresponding to the target sensor, the server stores the current acquired data of the target sensor and continuously monitors the acquired data reported by the target sensor.
S204, the server judges whether the current acquired data sent by the target reference sensor meets a second alarm condition.
As a possible implementation manner, the server acquires the alarm threshold corresponding to the target reference sensor, and judges whether the current acquired data sent by the target reference sensor is greater than or less than the alarm threshold corresponding to the target reference sensor.
The target reference sensor is an intermediate pier support sensor, and the server acquires the alarm conditions corresponding to the intermediate pier support sensor as follows: the physical quantity value in the acquired data of the middle pier support sensor is larger than an alarm threshold 5000. The server obtains the physical quantity value of 3600 in the current collected data of the seat sensor in the side pier, judges that the current physical quantity value 3600 is smaller than the alarm threshold 5000, and the current collected data of the seat sensor in the side pier does not meet the alarm condition.
S205, the server determines that the target sensor is an aging sensor under the condition that the current acquired data of the target reference sensor does not meet the corresponding alarm condition.
As one possible implementation, the server determines that the target sensor is an aging sensor in case the current acquired data of the target reference sensor does not meet the corresponding alarm condition.
The embodiment of the invention provides a method, a device, a storage medium and equipment for determining a sensor, which are used for acquiring current acquisition data sent by a target sensor. Acquiring current acquisition data of a target reference sensor under the condition that the current acquisition data of the target sensor meets corresponding alarm conditions; the correlation coefficient between the target reference sensor and the target sensor is greater than a first threshold. And under the condition that the data collected by the target sensor is determined to give an alarm, the server refers to the collected data of the current target reference sensor. In the case where the currently acquired data of the target reference sensor does not trigger an alarm, the server determines that the target sensor triggers an alarm because of aging. That is, the embodiment of the invention sets a target reference sensor which is strongly related to the target sensor, and the server refers to the data collected by the target reference sensor under the condition that the target sensor triggers an alarm. Under the condition that the reference target reference sensor does not trigger an alarm, the server confirms that the alarm is an error alarm caused by the aging of the target sensor, so that a work order for manual inspection cannot be initiated, the number of times of manual inspection is reduced, and the waste of human resources is avoided.
In one design, in order to select the target reference sensor, the method for determining the sensor provided in the embodiment of the present invention, as shown in fig. 3, further includes the following steps S206-S208.
S206, the server acquires historical acquisition data of the candidate reference sensors.
Wherein the plurality of candidate reference sensors satisfy at least one of the following conditions: the life cycle is longer than the preset time period, the quality level of the installation environment is higher than the preset level, and the perception precision is smaller than the preset precision.
As one possible implementation, the server obtains collected data of a plurality of candidate reference sensors during the same time period.
It can be understood that according to the embodiment of the invention, the sensor meeting the condition is determined to be the candidate reference sensor according to the indexes such as the life cycle, the installation environment, the sensing precision and the like of the sensor from the sensors under the same gateway equipment. The higher the score of the quality class of the installation environment, the better the installation environment. The higher the value of the perceived accuracy, the higher the perceived accuracy. Wherein a sensor with lower accuracy indicates a longer life cycle of the sensor; the better the installation environment of the sensor, the longer the sensor life cycle. Longer sensor lifecycles indicate slower aging of the sensor. Therefore, the collected data reported by the sensor with long life cycle is less influenced by the aging factors of the sensor, and the sensor has referenceability.
Illustratively, the score of the quality level of the installation environment is at most 10, and the value of the perceived accuracy is at most 5. The server may determine that the sensor with a life cycle greater than 3 years is a reference sensor, or may determine that the sensor with an installation environment greater than 7 is a reference sensor. The server may also determine that the sensor with a lifecycle greater than 3 years, a score of installation environment greater than 7, and a perceived accuracy value less than 4 is the reference sensor. The condition for selecting the reference sensor is not limited in the embodiment of the invention.
S207, the server determines a correlation coefficient between the target sensor and each candidate reference sensor according to the historical acquisition data of the target sensor and the historical acquisition data of each candidate reference sensor.
Wherein the correlation coefficient is used to represent the degree of correlation of the change in the physical quantity value in the target sensor acquisition data with the change in the physical quantity value in each candidate reference sensor acquisition data.
As one possible implementation manner, the server calculates a standard deviation of current data of the target sensor according to the historical acquisition data of the target sensor, and calculates a standard deviation of current data of each candidate reference sensor according to the historical acquisition data of each candidate reference sensor. Further, the server calculates a correlation coefficient between the target sensor and each candidate reference sensor according to the standard deviation of the target sensor and the standard deviation of each candidate reference sensor.
It will be appreciated that the server obtains a plurality of collected data for the target sensor and each candidate reference sensor.
Specifically, the standard deviation of the historical acquisition data of the target sensor satisfies the formula one:
wherein x is i The ith data acquired by the target sensor is x is the average value of n data acquired by the target sensor, S x Is the standard deviation of the current acquired data of the target sensor.
Specifically, the standard deviation of the historical acquisition data of each candidate reference sensor satisfies the formula two:
wherein y is i The ith data collected for each candidate sensor, y is the average of n data collected for each candidate sensor, S y Standard deviation of the current acquired data for each candidate sensor.
Specifically, calculating the correlation coefficient between the target sensor and each candidate reference sensor satisfies the formula three:
wherein r is xy For the correlation coefficient of the target sensor and each candidate reference sensor, S xy Acquiring covariance of data for the target sensor and each candidate reference sensor, S x Is the standard deviation of the current acquired data of the target sensor, S y Standard deviation of the current acquired data for each candidate reference sensor.
Specifically, the covariance S of the acquired data of the target sensor and each candidate reference sensor is calculated xy The formula four is satisfied:
wherein S is xy Acquiring covariance of data for the target sensor and each candidate reference sensor, x i The ith data acquired for the target sensor,for the average value, y, of n data acquired by the target sensor i The ith data collected for each candidate sensor,/th data collected for each candidate sensor>An average of n data collected for each candidate sensor.
S208, the server determines that the candidate reference sensor with the correlation coefficient larger than the first threshold value is the target reference sensor.
As one possible implementation manner, the server determines the absolute value of the correlation coefficient of the target sensor and each reference sensor and the magnitude of the first threshold, and determines, when the absolute value of the correlation coefficient is greater than the first threshold, a candidate reference sensor whose absolute value of the correlation coefficient is greater than the first threshold as the target reference sensor.
Illustratively, the first threshold is 0.9.
It will be appreciated that in the case where the absolute value of the correlation coefficient of the target sensor and the reference sensor is greater than the first threshold, the stronger the correlation between the target sensor and the reference sensor is explained, i.e. the reference sensor has a reference value.
The target sensor belongs to one of the pressure type sensors, illustratively pressure sensor 1. The candidate reference sensor belongs to one of the deformation sensors, namely the deformation sensor 3. And respectively acquiring the physical quantity value in the historical acquisition data reported by the pressure sensor 1 and the physical quantity value in the historical acquisition data reported by the deformation sensor 3. The correlation coefficient of the two is 0.93 as can be obtained by calculation through the formula. The correlation coefficient indicates that the pressure value detected by the pressure sensor 1 changes in synchronization with the deformation value detected by the deformation sensor 3. Further, it is explained that the correlation between the target pressure sensor 1 and the deformation sensor 3 is strong, that is, the deformation sensor 3 has a reference value.
In the prior art, when the acquired data of the sensor is larger than the corresponding alarm threshold, the server initiates a manual inspection work order, and after the manual inspection, the sensor is considered to be aged under the condition that the running state of the traffic infrastructure is found to be good, so that the aging sensor is replaced. However, partially replaced burn-in sensors may still function properly, which may result in frequent replacement of the sensor, thereby increasing operating and maintenance costs.
In one design, in order to prolong the service life of the aging sensor and reduce the replacement frequency of the sensor, and further reduce the operation and maintenance cost, the method for determining the sensor provided by the embodiment of the invention, as shown in fig. 4, further comprises the following steps S209-S211.
S209, when the target sensor is an aging sensor, the server acquires historical acquisition data of the target sensor.
As one possible implementation, the server obtains the collected data before the target sensor alarms.
Specifically, the server acquires a time point corresponding to the acquisition data according to the acquisition data triggering the alarm. Further, the server acquires acquisition data before the alarm of the target sensor. The time point corresponding to the acquisition data before the alarm is the same as the time point corresponding to the acquisition data triggering the alarm.
For example, the server obtains the time points corresponding to the collected data from the collected data triggering the alarm, wherein the time points are 8:15, 9:15, 10:15 and 20:00. Further, the server acquires 8:15, 9:15, 10:15 and 20:00 acquired data from the acquired data before alarming.
S210, the server determines the aging coefficient of the target sensor according to the current acquisition data and the historical acquisition data of the target sensor.
As a possible implementation manner, the server calculates the current acquisition data of the target sensor and the acquisition data before warning to obtain the aging coefficient of the target sensor.
The specific implementation of this step may refer to the following description of the embodiment of the present invention, which is not repeated here.
S211, the server corrects the current acquired data of the target sensor according to the aging coefficient.
As one possible implementation, the server corrects the current acquisition data of the target sensor according to the aging coefficient.
It can be understood that the server in the embodiment of the invention acquires the acquisition data before the alarm of the target sensor, and calculates the aging coefficient of the target sensor according to the current acquisition data of the target sensor and the acquisition data before the alarm, so that the acquisition data of the target sensor is corrected by using the aging coefficient. Therefore, the collected data of the target sensor can not trigger an alarm, the target sensor can work normally, the error of the collected data of the target sensor is reduced, the frequency of replacing the sensor is reduced, and further the operation and maintenance cost is reduced.
In one design, in order to obtain the aging coefficient, as shown in fig. 5, the above S210 specifically includes the following S2101-S2102.
S2101, the server determines a correlation coefficient between the current acquisition data and the historical acquisition data of the target sensor according to the current acquisition data and the historical acquisition data of the target sensor.
As one possible implementation, the server calculates current acquisition data and historical acquisition data of the target sensor, and determines a correlation coefficient between the current acquisition data and the historical acquisition data of the target sensor.
Illustratively, the server determines that the correlation coefficient between the current acquisition data and the historical acquisition data of the target sensor is 1.1. That is, the acquired data after the alarm is 10% higher than the acquired data before the alarm.
S2102, the server determines an aging coefficient according to the correlation coefficient between the current collected data and the historical collected data of the target sensor.
Wherein the aging coefficient is positively correlated with a correlation coefficient between current acquisition data and historical acquisition data of the target sensor.
As one possible implementation, the server takes as the aging coefficient the correlation coefficient between the current acquisition data and the historical acquisition data of the target sensor.
In one design, as shown in fig. 6, the method for determining a sensor provided in the embodiment of the present invention, S211 described above specifically includes S2111-S2112:
s2111, the server judges whether the current acquired data of the target sensor is uncorrected data.
As one possible implementation, the server determines whether the current acquisition data of the target sensor is consistent with the current acquisition data sent by the gateway acquisition target sensor.
S2112, the server corrects the current collected data of the target sensor according to the aging coefficient when the current collected data of the target sensor is uncorrected data.
As one possible implementation manner, the server corrects the current collected data of the aging sensor according to the aging coefficient when the current collected data of the aging sensor is consistent with the current collected data sent by the gateway acquisition target sensor.
In one case, the numerical correction of the physical quantity in the acquired data reported from the target sensor satisfies the formula five:
a/x=a1 equation five
Wherein a is the physical quantity value in the acquired data reported by the target sensor before correction, x is the aging coefficient, and a1 is the physical quantity value in the acquired data reported by the target sensor after correction.
Illustratively, if the correlation coefficient between the current collected data and the historical collected data of the target sensor is 1.1, the aging coefficient is determined to be 1.1. And the server corrects the physical quantity value in the acquired data reported by the target sensor. For example, the physical quantity value in the acquired data of the displacement sensor a is 99, and the corrected data is: 99/1.1=90, and the physical quantity value in the acquired data of the corrected displacement sensor a is 90. The server compares the physical quantity value 90 in the acquired data of the corrected displacement sensor A with the alarm threshold corresponding to the target sensor.
In another case, the numerical correction of the physical quantity in the collected data reported from the target sensor satisfies the formula six:
a (1-x) =a1 equation six
Wherein a is the physical quantity value in the acquired data reported by the target sensor before correction, x is the aging coefficient, and a1 is the physical quantity value in the acquired data reported by the target sensor after correction.
Illustratively, if the correlation coefficient between the current collected data and the historical collected data of the target sensor is 1.2, the aging coefficient is determined to be 0.2.
And the server corrects the acquired data reported by the target sensor. For example, the collected data is 99, and the corrected data is: 99 (1-0.2) =79.2, and the corrected data is 79.2. The server compares the corrected data 79.2 with the alarm threshold corresponding to the target sensor. It will be appreciated that in this case, the corrected data in the embodiments of the present invention is the data of the first trigger alert of the acquired data of the aging sensor.
It should be noted that, in the embodiment of the present invention, the number of times of correction of the acquired data of the aging sensor is not specifically limited, and the number of times of correction may be one time or multiple times.
The foregoing description of the solution provided by the embodiments of the present invention has been mainly presented in terms of a method. To achieve the above functions, it includes corresponding hardware structures and/or software modules that perform the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is implemented as hardware or computer software driven hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the embodiments of the present invention.
The embodiment of the invention can divide the functional modules of the device according to the method example, for example, each functional module can be divided corresponding to each function, or two or more functions can be integrated in one processing module. The integrated modules may be implemented in hardware or in software functional modules. Optionally, the division of the modules in the embodiment of the present invention is schematic, which is merely a logic function division, and other division manners may be implemented in practice.
Fig. 7 is a schematic structural diagram of a sensor determining device according to an embodiment of the present invention. As shown in fig. 7, the determining means 30 may be located in the server described above. The determining device 30 includes an acquisition unit 301 and a determining unit 302.
An acquiring unit 301, configured to acquire current acquired data sent by the target sensor. For example, as shown in fig. 2, the acquisition unit 301 may be used to perform S201.
The obtaining unit 301 is further configured to obtain current collected data of the target reference sensor when the current collected data of the target sensor meets a corresponding alarm condition. The correlation coefficient between the target reference sensor and the target sensor is greater than a first threshold. For example, as shown in fig. 2, the acquisition unit 301 may be used to perform S203.
And the determining unit 302 is configured to determine that the target sensor is an aging sensor if the current acquired data of the target reference sensor does not satisfy the corresponding alarm condition. For example, as shown in fig. 2, the determination unit 302 may be used to perform S205.
Optionally, as shown in fig. 7, the acquiring unit 301 provided by the present invention is further configured to acquire historical acquisition data of a plurality of candidate reference sensors; each candidate reference sensor satisfies at least one of a lifecycle greater than a preset duration, an installation environment quality level greater than a preset level, and a perceived accuracy less than a preset accuracy. For example, as shown in fig. 3, the acquisition unit 301 may be used to perform S206.
The determining unit 302 is further configured to determine, according to the historical collected data of the target sensor and the historical collected data of each candidate reference sensor, a correlation coefficient between the target sensor and each candidate reference sensor, and determine that the candidate reference sensor whose correlation coefficient is greater than the first threshold is the target reference sensor. As shown in fig. 3, the determining unit 302 may be used to perform S207-S208.
Optionally, as shown in fig. 7, the determining apparatus provided by the present invention further includes a correction unit 303.
The acquiring unit 301 is further configured to acquire historical acquisition data of the target sensor in a case where the target sensor is an aging sensor. For example, as shown in fig. 4, the acquisition unit 301 may be used to perform S209.
The determining unit 302 is further configured to determine an aging coefficient of the target sensor according to the current collected data and the historical collected data of the target sensor. For example, as shown in fig. 4, the determination unit 302 may be used to perform S210.
And the correction unit 303 is used for correcting the current acquired data of the target sensor according to the aging coefficient. For example, as shown in fig. 4, the correction unit 303 may be used to perform S211.
Optionally, as shown in fig. 7, the determining unit 302 provided by the present invention is specifically configured to: and determining a correlation coefficient between the current acquisition data and the historical acquisition data of the target sensor according to the current acquisition data and the historical acquisition data of the target sensor. Determining an aging coefficient according to a correlation coefficient between current acquisition data and historical acquisition data of the target sensor; the aging coefficient is positively correlated with a correlation coefficient between the current acquisition data and the historical acquisition data of the target sensor. For example, as shown in fig. 5, the determination unit 302 may be used to perform S2101-S2102.
Optionally, the correction unit: the method is particularly used for carrying out the current acquisition data of the target sensor according to the aging coefficient under the condition that the current acquisition data of the target sensor is uncorrected data. For example, as shown in fig. 6, the correction unit 303 may be used to perform S2111-S2112.
In the case of implementing the functions of the integrated modules described above in the form of hardware, an embodiment of the present invention provides a possible structural schematic diagram of the server involved in the above embodiment. As shown in fig. 8, the server 40 includes a processor 401, a memory 402, and a bus 403. The processor 401 and the memory 402 may be connected by a bus 403.
The processor 401 is a control center of the communication device, and may be one processor or a collective term of a plurality of processing elements. For example, the processor 401 may be a general-purpose central processing unit (central processing unit, CPU), or may be other general-purpose processors. Wherein the general purpose processor may be a microprocessor or any conventional processor or the like.
As one example, processor 401 may include one or more CPUs, such as CPU 0 and CPU 1 shown in fig. 8.
Memory 402 may be, but is not limited to, read-only memory (ROM) or other type of static storage device that can store static information and instructions, random access memory (random access memory, RAM) or other type of dynamic storage device that can store information and instructions, as well as electrically erasable programmable read-only memory (EEPROM), magnetic disk storage or other magnetic storage devices, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
As a possible implementation, the memory 402 may exist separately from the processor 401, and the memory 402 may be connected to the processor 401 through the bus 403, for storing instructions or program codes. The processor 401, when calling and executing instructions or program code stored in the memory 402, can implement the sensor determining method provided by the embodiment of the present invention.
In another possible implementation, the memory 402 may also be integrated with the processor 401.
Bus 403 may be an industry standard architecture (Industry Standard Architecture, ISA) bus, peripheral component interconnect (Peripheral Component Interconnect, PCI) bus, or extended industry standard architecture (Extended Industry Standard Architecture, EISA) bus, among others. The bus may be classified as an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in fig. 8, but not only one bus or one type of bus.
It should be noted that the structure shown in fig. 8 does not constitute a limitation of the server 40. In addition to the components shown in fig. 8, the server 40 may include more or less components than shown, or certain components may be combined, or a different arrangement of components.
As an example, in connection with fig. 6, the functions implemented by the determining unit 302 and the correcting unit 303 in the determining apparatus 30 are the same as those of the processor 401 in fig. 8.
Optionally, as shown in fig. 8, the server 40 provided in the embodiment of the present invention may further include a communication interface 404.
A communication interface 404 for connecting with other devices via a communication network. The communication network may be an ethernet, a radio access network, a wireless local area network (wireless local area networks, WLAN), etc. The communication interface 404 may include a receiving unit for receiving data and a transmitting unit for transmitting data.
In one design, the communication interface may also be integrated into the processor in the server provided by the embodiments of the present invention.
Fig. 9 shows another hardware configuration of the server in the embodiment of the present invention. As shown in fig. 9, the server 50 may include a processor 501 and a communication interface 502. The processor 501 is coupled to a communication interface 502.
The function of the processor 501 may be as described above with reference to the processor 401. The processor 501 also has a memory function, and the function of the memory 402 can be referred to.
The communication interface 502 is used to provide data to the processor 501. The communication interface 502 may be an internal interface of the communication device or an external interface of the communication device.
It should be noted that the structure shown in fig. 9 does not constitute a limitation of the server 50, and the server 50 may include more or less components than those shown in fig. 9, or may combine some components, or may be a different arrangement of components.
From the above description of embodiments, it will be apparent to those skilled in the art that the foregoing functional unit divisions are merely illustrative for convenience and brevity of description. In practical applications, the above-mentioned function allocation may be performed by different functional units, i.e. the internal structure of the device is divided into different functional units, as needed, to perform all or part of the functions described above. The specific working processes of the above-described systems, devices and units may refer to the corresponding processes in the foregoing method embodiments, which are not described herein.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, when the computer executes the instructions, the computer executes each step in the method flow shown in the method embodiment.
The embodiments of the present invention also provide a computer program product comprising instructions which, when executed on a computer, cause the computer to perform the method of determining the embodiments of the method described above.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the computer-readable storage medium would include the following: electrical connections having one or more wires, portable computer diskette, hard disk. Random access Memory (Random Access Memory, RAM), read-Only Memory (ROM), erasable programmable Read-Only Memory (Erasable Programmable Read Only Memory, EPROM), registers, hard disk, optical fiber, portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium suitable for use by a person or persons of skill in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuit, ASIC). In embodiments of the present invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the server, the user equipment, the computer readable storage medium, and the computer program product in the embodiments of the present invention can be applied to the above-mentioned method, the technical effects that can be obtained by the method can also refer to the above-mentioned method embodiments, and the embodiments of the present invention are not described herein again.
The present invention is not limited to the above embodiments, and any changes or substitutions within the technical scope of the present invention should be covered by the scope of the present invention.
Claims (8)
1. A method of determining a sensor, comprising:
acquiring current acquisition data sent by a target sensor;
acquiring current acquisition data of a target reference sensor under the condition that the current acquisition data of the target sensor meets a first alarm condition; the correlation coefficient between the target reference sensor and the target sensor is larger than a first threshold value, the first alarm condition is that the current acquired data of the target sensor is larger than or smaller than an alarm threshold value corresponding to the target sensor, and the correlation coefficient is used for representing the correlation degree of the change of the physical quantity value in the acquired data of the target sensor and the change of the physical quantity value in the acquired data of each candidate reference sensor;
Determining that the target sensor is an aging sensor under the condition that the current acquired data of the target reference sensor does not meet a second alarm condition; the second alarm condition is that the current acquired data of the target reference sensor is larger than or smaller than an alarm threshold value corresponding to the target reference sensor;
acquiring historical acquisition data of the target sensor under the condition that the target sensor is an aging sensor;
determining a correlation coefficient between the current acquisition data and the historical acquisition data of the target sensor according to the current acquisition data and the historical acquisition data of the target sensor;
determining an aging coefficient according to a correlation coefficient between the current acquired data of the target sensor and the historical acquired data; the aging coefficient is positively correlated with a correlation coefficient between the current acquired data of the target sensor and the historical acquired data;
and correcting the current acquired data of the aging sensor according to the aging coefficient.
2. The method of determining according to claim 1, wherein the method further comprises:
acquiring historical acquisition data of a plurality of candidate reference sensors; the plurality of candidate reference sensors satisfy at least one of the following conditions: the life cycle is longer than the preset time, the quality level of the installation environment is higher than the preset level or the perception precision is smaller than the preset precision;
According to the historical acquisition data of the target sensor and the historical acquisition data of each candidate reference sensor, determining a correlation coefficient between the target sensor and each candidate reference sensor, and determining the candidate reference sensor with the correlation coefficient larger than the first threshold value as the target reference sensor.
3. The method according to claim 1, wherein correcting the current acquired data of the target sensor according to the aging coefficient includes:
and correcting the current acquired data of the target sensor according to the aging coefficient under the condition that the current acquired data of the target sensor is uncorrected data.
4. A sensor determining apparatus, comprising: an acquisition unit, a correction unit, and a determination unit;
the acquisition unit is used for acquiring current acquisition data sent by the target sensor;
the acquisition unit is further used for acquiring the current acquisition data of the target reference sensor under the condition that the current acquisition data of the target sensor meets a first alarm condition; the correlation coefficient between the target reference sensor and the target sensor is larger than a first threshold value, the first alarm condition is that the current acquired data of the target sensor is larger than or smaller than an alarm threshold value corresponding to the target sensor, and the correlation coefficient is used for representing the correlation degree of the change of the physical quantity value in the acquired data of the target sensor and the change of the physical quantity value in the acquired data of each candidate reference sensor;
The determining unit is used for determining that the target sensor is an aging sensor under the condition that the current acquired data of the target reference sensor does not meet a second alarm condition; the second alarm condition is that the current acquired data of the target reference sensor is larger than or smaller than an alarm threshold value corresponding to the target reference sensor;
the acquisition unit is further used for acquiring historical acquisition data of the target sensor when the target sensor is an aging sensor;
the determining unit is further used for determining a correlation coefficient between the current acquisition data of the target sensor and the historical acquisition data according to the current acquisition data of the target sensor and the historical acquisition data;
determining an aging coefficient according to a correlation coefficient between the current acquired data of the target sensor and the historical acquired data; the aging coefficient is positively correlated with a correlation coefficient between the current acquired data of the target sensor and the historical acquired data;
and the correction unit is used for correcting the current acquired data of the target sensor according to the aging coefficient.
5. The apparatus according to claim 4, wherein the acquisition unit is further configured to acquire historical acquisition data of a plurality of candidate reference sensors; the plurality of candidate reference sensors satisfy at least one of the following conditions: the life cycle is longer than the preset time, the quality level of the installation environment is higher than the preset level or the perception precision is smaller than the preset precision;
The determining unit is further configured to determine, according to the historical acquisition data of the target sensor and the historical acquisition data of each candidate reference sensor, a correlation coefficient between the target sensor and each candidate reference sensor, and determine that a candidate reference sensor whose correlation coefficient is greater than the first threshold is the target reference sensor.
6. The determination device according to claim 4, wherein the correction unit is specifically configured to correct the current acquired data of the target sensor according to the aging coefficient in a case where the current acquired data of the target sensor is uncorrected data.
7. A computer readable storage medium storing one or more programs, wherein the one or more programs comprise instructions, which when executed by a server, cause the server to perform the sensor determination method of any of claims 1-3.
8. A server, comprising: a processor and a memory; wherein the memory is configured to store one or more programs, the one or more programs comprising computer-executable instructions that, when executed by the server, cause the server to perform the sensor determination method of any of claims 1-3.
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| CN115308517B (en) * | 2022-10-10 | 2023-01-24 | 杭州三海电子有限公司 | Aging detection method and system for components, storage medium and equipment |
| CN116046049B (en) * | 2023-03-07 | 2023-07-21 | 深圳市兆兴博拓科技股份有限公司 | Self-calibration sensor and calibration method and system |
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