CN116735075A - Measurement data calibration method and device and electronic equipment - Google Patents

Measurement data calibration method and device and electronic equipment Download PDF

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Publication number
CN116735075A
CN116735075A CN202310721938.1A CN202310721938A CN116735075A CN 116735075 A CN116735075 A CN 116735075A CN 202310721938 A CN202310721938 A CN 202310721938A CN 116735075 A CN116735075 A CN 116735075A
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China
Prior art keywords
measurement data
equipment
target
calibration
obtaining
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CN202310721938.1A
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Chinese (zh)
Inventor
张延�
夏浩
沈国斌
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Shanghai Hummingbird Instant Information Technology Co ltd
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Shanghai Hummingbird Instant Information Technology Co ltd
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Priority to CN202310721938.1A priority Critical patent/CN116735075A/en
Publication of CN116735075A publication Critical patent/CN116735075A/en
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L27/00—Testing or calibrating of apparatus for measuring fluid pressure
    • G01L27/002—Calibrating, i.e. establishing true relation between transducer output value and value to be measured, zeroing, linearising or span error determination

Abstract

The invention discloses a measurement data calibration method, a device, a storage medium and electronic equipment. The method comprises the following steps: respectively obtaining measurement data obtained by measuring target parameters at a target position by first equipment and second equipment; obtaining a measurement data calibration function; obtaining measurement data calibration parameter values of the first equipment and the second equipment according to the first measurement data, the second measurement data and the measurement data calibration function; calibrating measurement data obtained by measuring target parameters of the calibrated equipment according to the measurement data calibration parameter values of the calibrated equipment; alternatively, measurement data calibration parameter values for the uncalibrated device are obtained from the measurement data calibration parameter values for the calibrated device and the measurement data calibration function. The calibration processing of the measurement data of the calibrated equipment or the calibration processing of the measurement data calibration parameter value of the uncalibrated equipment is realized through the process, and the error propagation is small, the data accuracy is high and the reliability is good in the processing process.

Description

Measurement data calibration method and device and electronic equipment
Technical Field
The present invention relates to the field of computer technology, and in particular, to a method, an apparatus, a computer device, a storage medium, and a computer program product for calibrating measurement data.
Background
Devices for measuring gas pressure are built in electronic devices such as smart phones, wearable electronic devices, navigator and the like. The above-described device for measuring the pressure of gas may be used to acquire barometric data as one of information data, and may be used to enrich map data, such as rider distribution map data, etc.
However, existing devices for measuring gas pressure are subject to differences in the equipment itself, and there are differences in the measured gas pressure data even in the same time-space environment. Therefore, the measurement data obtained by the detection of the air pressure detection equipment has the requirement of calibration, and how to realize the calibration of the air pressure detection data, thereby improving the accuracy and the reliability of the measured data, and being the technical problem to be solved.
Disclosure of Invention
The embodiment of the application provides a method and a device for calibrating measurement data, electronic equipment and a computer storage medium, which are used for realizing the calibration of air pressure detection data and further improving the accuracy and the credibility of the measured data.
In a first aspect, the present application provides a method of calibrating measurement data, the method comprising: respectively obtaining measurement data obtained by measuring target parameters at a target position by first equipment and second equipment, taking the measurement data obtained by measuring the target parameters at the target position by the first equipment as first measurement data, and taking the measurement data obtained by measuring the target parameters at the target position by the second equipment as second measurement data; obtaining a measurement data calibration function, wherein the measurement data calibration function is used for representing a functional relation between measurement data obtained by measuring a target parameter at any position of equipment and real data of the target parameter at any position, and the measurement data calibration function comprises the measurement data calibration parameter of the equipment; according to the first measurement data, the second measurement data and the measurement data calibration function, respectively obtaining a measurement data calibration parameter value of the first device and a measurement data calibration parameter value of the second device, and taking the device with the obtained measurement data calibration parameter value as a calibrated device; calibrating measurement data obtained by measuring target parameters of the calibrated equipment according to the measurement data calibration parameter values of the calibrated equipment; or obtaining the measurement data calibration parameter value of an uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function, wherein the uncalibrated device is an uncalibrated device which measures the target parameter of the same position with the calibrated device.
Optionally, the method further comprises: obtaining a plurality of device pairs, both devices in each of the plurality of device pairs measuring a target parameter at the same location; obtaining a measured data similarity between devices in each of the plurality of device pairs; determining the equipment in the equipment pair with the measured data similarity meeting the preset similarity condition as calibration anchor point equipment; the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device respectively includes: and if the first equipment and the second equipment are calibration anchor point equipment, respectively obtaining measurement data obtained by measuring target parameters at a target position by the first equipment and the second equipment.
Optionally, the obtaining a plurality of device pairs includes: obtaining any two devices located at the same position in the same time period; and if the target parameters are measured by any two devices at the same position, constructing the any two devices into a device pair.
Optionally, the obtaining any two devices located at the same position in the same time period includes: obtaining movement track data of any two devices, and if the movement track data of any two devices are determined to comprise the position data of the same position and the time points of the any two devices at the same position are all within the same time period, determining the any two devices as any two devices at the same position within the same time period, wherein the movement track data of any two devices comprise the position positioning data of any two devices; or, a first log of sending and receiving a near field communication signal sent by a near field communication sending and receiving device located at the same position is obtained, if the near field communication sending and receiving device detects near field communication signals sent by any two devices in the same time period according to the first log of sending and receiving the near field communication signal, the any two devices are determined to be any two devices located at the same position in the same time period, and the first log of sending and receiving the near field communication signal records time point information of the near field communication signal detected by the near field communication sending and receiving device and device information of the device sending the near field communication signal; or obtaining a second log of near field communication signal transmission and reception sent by one of the two arbitrary devices, if it is determined that the near field communication signal sent by the other of the two arbitrary devices is detected at least one time point in the same time period and at the same position by the one of the two arbitrary devices according to the second log of near field communication signal transmission and reception, determining the two arbitrary devices as two arbitrary devices located at the same position in the same time period, wherein the second log of near field communication signal transmission and reception records time point information of the near field communication signal detected by the one of the two arbitrary devices and device information of the device sending the near field communication signal.
Optionally, the method further comprises: judging whether to obtain measurement data which are reported by any two devices and are obtained by measuring the target parameters at the same position; and if the measurement data reported by the arbitrary two devices and obtained by measuring the target parameters at the same position are confirmed to be obtained, determining that the arbitrary two devices measure the target parameters at the same position.
Optionally, the method further comprises: obtaining measurement data obtained by measuring the target parameter at least one position in at least one time period by two devices in each device pair; obtaining a measured data distance measurement value between two devices in each device pair according to measured data obtained by measuring the target parameter at least one position in at least one time period by the two devices in each device pair; and obtaining the similarity of the measured data between the devices in each device pair according to the measured data distance measurement value between the two devices in each device pair.
Optionally, if the number of measurement data obtained by measuring the target parameter at the same position by two devices in any one device pair in the same time period is multiple, acquiring average measurement data or median measurement data in the multiple measurement data obtained by measuring the target parameter at the same position by two devices in any one device pair in the same time period; the method for obtaining the measurement data distance measurement value between the two devices in each device pair according to the measurement data obtained by measuring the target parameter at least one position in at least one time period by the two devices in each device pair comprises the following steps: and obtaining a measured data distance measurement value between two devices in each device pair according to average measured data or median measured data obtained by measuring the target parameter at the same position in the same time period by the two devices in any device pair.
Optionally, the obtaining a measurement data distance metric value between the two devices in each device pair according to measurement data obtained by measuring the target parameter by the two devices in each device pair at least one position in at least one time period includes: obtaining a measured data difference value between measured data obtained by measuring the target parameter at the same position in the same time period by two devices in any pair; acquiring duration data of the same time period; and obtaining the measurement data distance measurement value between the two devices in any one device pair according to the measurement data difference value and the duration data of the same time period.
Optionally, if both devices in any one device pair measure the target parameter at multiple positions in multiple time periods, the number of measurement data differences is multiple, and the number of duration data is multiple; the obtaining the measurement data distance metric value between the two devices in any pair of devices includes: obtaining a product value between the time length data of any one time period in the plurality of time periods and the measured data difference value corresponding to the any one time period; obtaining the sum of the product values corresponding to all the time periods in the time periods as a product sum; obtaining the sum value of the duration data of all the time periods in the plurality of time periods as a duration sum value; and obtaining a quotient between the product and the duration sum as a measured data distance measurement value between two devices in any pair of devices.
Optionally, the obtaining the similarity of the measured data between the devices in each device pair according to the measured data distance metric value between the two devices in each device pair includes: and inputting the measured data distance measurement value between the two devices in each device pair into a relation function between the measured data similarity and the measured data distance measurement value, and obtaining the measured data similarity between the devices in each device pair.
Optionally, in the relation function between the measured data similarity and the measured data distance metric, the measured data similarity is a variable, the measured data distance metric is an independent variable, and the measured data distance metric is a power value of the indication function.
Optionally, the method further comprises: taking the equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value as a node in the graph, constructing an edge in the graph between two pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value, taking the measured data similarity between the pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value as the weight of the edge of the two pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value, and constructing a target parameter measurement equipment association graph; the determining the device in the pair of devices with the measured data similarity meeting the preset similarity condition as the calibration anchor point device comprises the following steps: searching equipment pairs with similarity of measurement data meeting a preset similarity condition in the association diagram of the construction target parameter measurement equipment; and determining the equipment in the equipment pair, the similarity of which meets the preset similarity condition, from the measurement data found in the construction target parameter measurement equipment association diagram as calibration anchor point equipment.
Optionally, the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device respectively includes: respectively obtaining measurement data obtained by measuring target parameters at a plurality of target positions by first equipment and second equipment, wherein the number of the first measurement data is a plurality of the second measurement data; the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: and respectively obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function.
Optionally, the number of target positions is determined as follows: determining a sum of a number of calibration parameters of the measurement data calibration parameters of the first device and a number of calibration parameters of the measurement data calibration parameters of the second device; and determining the number of target positions according to the number and the value of the calibration parameters of the measurement data calibration parameters of the first device and the measurement data calibration parameters of the second device.
Optionally, the difference between the number of target positions and the number and value of calibration parameters of the measurement data calibration parameters of the first device and the measurement data calibration parameters of the second device is 1.
Optionally, the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: respectively inputting the first measurement data and the second measurement data into the measurement data calibration function to obtain an equation set, wherein in the equation set, the measurement data calibration parameters of the first equipment and the measurement data calibration parameters of the second equipment are parameters to be solved; and solving the measurement data calibration parameter values of the first device and the measurement data calibration parameter values of the second device according to the equation set.
Optionally, the measurement data calibration function is a function of the form: y=m+n p_true+o p_true 2+e; wherein y is measurement data obtained by measuring a target parameter by the device, p_true is real data of the target parameter, m, n and o are measurement data calibration parameters of the device, and e is noise data of a module used for measuring the target parameter in the device.
Optionally, the calibrating the measurement data obtained by subsequently measuring the target parameter by the calibrated device according to the measurement data calibration parameter value of the calibrated device includes: and inputting the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment and the measurement data calibration parameter values of the calibrated equipment into the measurement data calibration function to obtain real data corresponding to the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment.
Optionally, the obtaining the measurement data calibration parameter value of the uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function includes: obtaining measurement data obtained by the calibrated device for measuring the target parameter at the same position as calibrated device measurement data; obtaining measurement data obtained by measuring the target parameter at the same position by the uncalibrated equipment, and taking the measurement data as uncalibrated equipment measurement data; respectively inputting the measurement data of the calibrated equipment, the measurement data calibration parameter value of the calibrated equipment and the measurement data of the un-calibrated equipment into the measurement data calibration function to obtain an equation set, wherein in the equation set, the measurement data calibration parameter of the un-calibrated equipment is a parameter to be solved; and solving the measurement data calibration parameter values of the uncalibrated equipment according to the equation set.
Optionally, the obtaining the measurement data calibration parameter value of the uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function includes: based on the measurement data calibration parameter values of the plurality of calibrated devices and the measurement data calibration function, a measurement data calibration parameter value of an uncalibrated device is obtained.
Optionally, the number of the same positions is a plurality, and the difference between the number of the same positions and the number of the measurement data calibration parameters of the uncalibrated device is 1.
Optionally, the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: and respectively obtaining the measurement data calibration parameter value of the first equipment, the measurement data calibration parameter value of the second equipment and the real data of the target parameter of the target position according to the first measurement data, the second measurement data and the measurement data calibration function.
Optionally, the method further comprises: according to the real data of the target parameters of the target position, updating the similarity of measurement data between devices in the device pair where the non-calibrated devices exist in the device pair where the first device or the second device is located; and determining the equipment in the pair of the updated measurement data similarity meeting the preset similarity condition as the calibration anchor point equipment.
Optionally, the method further comprises: searching an uncalibrated device with an edge between the uncalibrated device and the calibrated device in the target parameter measurement device association diagram; the obtaining measurement data calibration parameters of an uncalibrated device according to the measurement data calibration parameter values of the calibrated device and the measurement data calibration function comprises the following steps: and obtaining the measurement data calibration parameters of the uncalibrated device with edges between the calibrated device according to the measurement data calibration parameter values of the calibrated device and the measurement data calibration function.
Optionally, the target parameter includes at least one of the following parameters: air pressure parameters, temperature parameters, humidity parameters.
Optionally, the first device is any one of the following devices: and distributing equipment carried by the resource, and acquiring equipment carried by a user of the online-to-offline service by equipment carried by a merchant staff.
Optionally, the method further comprises: after obtaining the real data of the target parameters of the plurality of positions, at least one data of a distribution map, a business portrait feature, a distribution address portrait feature and a distribution flow portrait feature for distribution resources is constructed or updated according to the real data of the target parameters of the plurality of positions.
Optionally, if the target parameter includes an air pressure parameter, the constructing or updating at least one data of a distribution map, a merchant portrait feature, a distribution address portrait feature, and a distribution flow portrait feature for use by the distribution resource according to real data of the target parameters of the plurality of positions includes: acquiring height data of the plurality of positions according to the real data of the air pressures of the plurality of positions; and constructing or updating at least one data of a distribution map, a business portrait feature, a distribution address portrait feature and a distribution flow portrait feature for distribution resources according to the height data of the plurality of positions.
Optionally, the method further comprises: and transmitting the measured data calibration parameter value of the calibrated equipment to the calibrated equipment so that the calibrated equipment calibrates the measured data obtained by the subsequent measurement target parameter of the calibrated equipment.
Optionally, the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: according to the first measurement data, the second measurement data and the measurement data calibration function, real data of the measurement data calibration parameter value of the first device, the measurement data calibration parameter value of the second device and the target parameter of the target position are respectively obtained; the method further comprises the steps of: obtaining current position data of any one device, and if the current position data of any one device represents that the any one device is currently located at the target position, providing real data of target parameters of the target position for the any one device, so that when the any one device displays the data of the target parameters of the target position, the measurement data obtained by measuring the target parameters of the any one device at the target position and the real data of the target parameters of the target position are displayed; or, providing the real data of the target parameter of the target position to the any one device, so that the any one device can display the measurement data obtained by measuring the target parameter at the target position and the real data of the target parameter of the target position when detecting that the any one device is positioned at the target position and the data of the target parameter of the target position needs to be displayed.
Optionally, the calibrated device and the uncalibrated device are both devices for using the same distribution resource; the method is applied to the target equipment used by the same distribution resource; the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device respectively includes: obtaining measurement data obtained by measuring target parameters at a target position by the first device and transmitted by the first device, and obtaining measurement data obtained by measuring the target parameters at the target position by the second device and transmitted by the second device; the obtaining a measurement data calibration function includes: and obtaining the measurement data calibration function provided by the server, or obtaining the measurement data calibration function which is preconfigured.
Optionally, the same device for distributing resource usage includes at least one of the following devices: the mobile communication equipment is used by the same distribution resource; the helmet equipment is used for the same distribution resource; the wearable equipment is used by the same distribution resource; the distribution box is used for the same distribution resource; the same delivery resource uses the vehicles.
Optionally, the method further comprises: after obtaining the measurement data standard parameters of at least one device used by the same distribution resource, sending the measurement data standard parameters of the at least one device used by the same distribution resource to a server; or after obtaining the measurement data standard parameters of any one device used by the same distribution resource, sending the measurement data standard parameters of any one device used by the same distribution resource to any one device.
Optionally, the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: according to the first measurement data, the second measurement data and the measurement data calibration function, real data of the measurement data calibration parameter value of the first device, the measurement data calibration parameter value of the second device and the target parameter of the target position are respectively obtained; the method further comprises the steps of: and sending the real data of the target parameters of the target position to a server, or sending the real data of the target parameters of the target position to at least one device used by the same distribution resource.
Optionally, the target device used by the same delivery resource runs a delivery service terminal application; the calibrating the measurement data obtained by the subsequent measurement target parameters of the calibrated device according to the measurement data calibration parameter values of the calibrated device comprises the following steps: calibrating measurement data obtained by the subsequent measurement target parameters of the calibrated equipment by the distribution service terminal according to the measurement data calibration parameter value of the calibrated equipment; or, the obtaining the measurement data calibration parameter value of the uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function comprises: and the distribution service terminal obtains the measurement data calibration parameter value of the uncalibrated equipment by applying the measurement data calibration parameter value according to the calibrated equipment and the measurement data calibration function.
Optionally, the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: according to the first measurement data, the second measurement data and the measurement data calibration function, real data of the measurement data calibration parameter value of the first device, the measurement data calibration parameter value of the second device and the target parameter of the target position are respectively obtained; the method further comprises the steps of: and applying real data showing the target parameters of the target position by the distribution service terminal.
Optionally, when the real data of the target parameter of the target location is displayed, the distribution service terminal application further displays measurement data obtained by measuring the target parameter at the target location by the at least one device used by the same distribution resource.
In a second aspect, the present application provides a measurement data calibration device comprising: a data acquisition unit configured to obtain measurement data obtained by measuring a target parameter at a target position by a first device and a second device, respectively, using the measurement data obtained by measuring the target parameter at the target position by the first device as first measurement data, and using the measurement data obtained by measuring the target parameter at the target position by the second device as second measurement data; a function obtaining unit configured to obtain a measurement data calibration function for representing a functional relationship between measurement data obtained by measuring a target parameter at any one position by a device and real data of the target parameter at the any one position, the measurement data calibration function including measurement data calibration parameters of the device; a first processing unit configured to obtain a measurement data calibration parameter value of the first device and a measurement data calibration parameter value of the second device, respectively, from the first measurement data, the second measurement data, and the measurement data calibration function, taking the device for which the measurement data calibration parameter value has been obtained as a calibrated device; a calibration processing unit configured to calibrate measurement data obtained by subsequently measuring a target parameter of the calibrated device according to a measurement data calibration parameter value of the calibrated device; or obtaining the measurement data calibration parameter value of an uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function, wherein the uncalibrated device is an uncalibrated device which measures the target parameter of the same position with the calibrated device.
In a third aspect, the present application provides an electronic device comprising: a memory for storing a program; a processor for executing the program stored by the memory, the processor being adapted to perform the method of the first aspect and any of the various possible designs of the first aspect as described above when the program is executed.
In a fourth aspect, the application provides a computer readable storage medium comprising instructions which, when run on a computer, cause the computer to perform the method of the first aspect above and any of the various possible designs of the first aspect.
In a fifth aspect, the present application provides a computer program product comprising: a computer program stored in a readable storage medium, from which it can be read by at least one processor of an electronic device, the at least one processor executing the computer program causing the electronic device to perform the method as described in the first aspect and any of the various possible designs of the first aspect above.
Compared with the prior art, the embodiment of the application has the following advantages:
first measurement data and second measurement data obtained by measuring target parameters by first equipment and second equipment at a target position are respectively obtained; and obtaining a measurement data calibration function representing a functional relationship between the measurement data and the real data of the target parameter; and calculating and obtaining the measurement data calibration parameter value of the first equipment and the measurement data calibration parameter value of the second equipment by using the first measurement data, the second measurement data and the measurement data calibration function. The measurement data calibration parameter value is used as key data in the measurement data calibration process, can be used for equipment which has obtained the measurement data calibration parameter value, and is used for calibrating the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment according to the parameter value; alternatively, the calibration parameter values are used to obtain measurement data for an uncalibrated device. Thereby, a calibration process of the measurement data or the measurement data calibration parameter value is realized, and error propagation in the process is small; further, through the calibration processing, the measurement data obtained according to the subsequent measurement target parameters of the calibrated equipment and the measurement data calibration parameter values of the calibrated equipment are input into the measurement data calibration function, and the obtained real data corresponding to the measurement data obtained according to the subsequent measurement target parameters of the calibrated equipment has high data accuracy and good reliability.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments described in the present application, and other drawings may be obtained according to these drawings for a person having ordinary skill in the art.
Fig. 1 is a schematic diagram of an application scenario of a measurement data calibration method according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for calibrating measurement data according to an embodiment of the present application;
FIG. 3 is a flow chart of determining a calibration anchor device provided by an embodiment of the present application;
FIG. 4 is a schematic diagram of a target parameter measurement device association diagram provided in an embodiment of the present application;
FIG. 5 is a flow chart of obtaining measurement data calibration parameter values provided by an embodiment of the present application;
FIG. 6 is a schematic structural diagram of a measurement data calibration device according to an embodiment of the present application;
fig. 7 is a schematic logic structure diagram of an electronic device according to an embodiment of the present application.
Detailed Description
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. The present application may be embodied in many other forms than those herein described, and those skilled in the art will readily appreciate that the present application may be similarly embodied without departing from the spirit or essential characteristics thereof, and therefore the present application is not limited to the specific embodiments disclosed below.
It should be noted that in the description of the present application, the terms "first," "second," and the like are used for descriptive purposes only and are not to be construed as indicating or implying any particular order or sequence. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art. Furthermore, in the description of the present application, the term "plurality" means two or more, unless otherwise indicated. The term "and/or" describes an association relationship of associated objects, meaning that there may be three relationships, e.g., a and/or B, which may represent: a exists alone, A and B exist together, and B exists alone. The character "/" generally indicates that the context-dependent object is an "or" relationship. The terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed or inherent to such process, method, article, or apparatus.
In order to facilitate understanding of the technical solution of the present application, the following description refers to related concepts, background art, and prior art related to the present application, where technical problems exist in the prior art and technical concepts of the present application:
currently, gas pressure measurement devices are built in electronic devices such as smart phones, wearable electronic devices, navigator, and motion cameras. The gas pressure measuring device can be used for measuring the gas pressure value of the current environment, the gas pressure data value obtained by the measurement can be used in map data, and further map data are enriched, and the obtained gas pressure value can also be used for calculating the current actual altitude and assisting in accurate positioning of a GPS (global positioning system), so that the gas pressure measuring device is widely applied.
However, in the same space-time environment, there is a certain deviation in the measured air pressure data between different devices at the same location, which is influenced by the air pressure measuring device itself. Different devices are affected by differences in the devices themselves, and even at the same location, at the same time, and under the same brand, the measured air pressure values are not the same. This tends to result in an inability to guarantee the accuracy of the measured barometric pressure data and a lower confidence in the measured data. Therefore, the measured data measured by the gas pressure measuring device has the data calibration requirement, and how to realize the calibration of the gas pressure measured data, so that the accuracy and the reliability of the measured data are technical problems to be solved.
Based on the above problems in the prior art, the present application provides a method for calibrating measurement data, so as to improve the accuracy and reliability of the measurement data.
Next, an application scenario of the measurement data calibration method according to an embodiment of the present application will be described with reference to fig. 1, where fig. 1 is an application scenario provided by the present application.
Referring to fig. 1, the cloud service terminal comprises a user terminal 101 and a cloud service terminal 102. The user terminal 101 is provided with a first device and a second device; the cloud server 102 is configured to implement measurement data calibration processing.
As shown in fig. 1, a first device and a second device are disposed at a user end 101; the first device is a barometric sensor 1 in a smart phone of a takeaway delivery person a. When the air pressure sensor 1 is at a target position (positioned near a No. 1 shop of a building 2 of a mall), first measurement data can be measured and obtained; the first measurement data of the air pressure sensor 1 is transmitted to the cloud service end 102 through network communication by the smart phone of the takeaway delivery person a. Of course, a second device is also provided at the user end 101, and the second device is the air pressure sensor 2 in the smart phone of the takeout and distribution person B. The air pressure sensor 2 and the air pressure sensor 1 can also measure and obtain air pressure measurement data (second measurement data) when being positioned at a target position (positioned near the 1 st shop of the 2 nd floor) at the same time; the second measurement data of the air pressure sensor 2 is transmitted to the cloud service end 102 through network communication by the smart phone of the takeaway delivery person B. In the figure, only the procedure in which the user terminal 101 transmits the first measurement data from the first device is shown, and the procedure in which the user terminal 101 transmits the second measurement data from the second device to the cloud service terminal 102 is illustrated with reference to the figure.
The cloud server 102 is configured to implement measurement data calibration processing. In this embodiment, the server of the cloud server 102 may perform calibration processing on the first measurement data and the second measurement data from the first device and the second device of the client 101, and transmit real data corresponding to the calibrated measurement data to the client 101 through network communication.
It should be understood that the above-mentioned client 101 may also be called a client (client) or a workstation (workstation), and corresponds to the cloud server 102, and receives control and management of a server of the cloud server 102. Of course, the above-mentioned process of implementing the measurement data calibration process may also be implemented at the user terminal 101, and this embodiment is given as an illustration and is not limited to practice.
As shown in fig. 1, the device of the user terminal 101 may refer to a User Equipment (UE), a terminal device, an access terminal, a subscriber station, a mobile station, a remote terminal, a mobile device, a user terminal, a wireless communication device, a user agent, or a user equipment. But also cellular phones, cordless phones, session initiation protocol (session initiation protocol, SIP) phones, wireless local loop (wireless local loop, WLL) stations, personal digital assistants (personal digital assistant, PDA), handheld devices with wireless communication capabilities, computing devices or other processing devices connected to wireless modems, car-mounted devices, wearable devices, terminal devices in future 5G networks or terminal devices in future evolving public land mobile communication networks (public land mobile network, PLMNs), etc., but also end devices, logical entities, smart devices, such as mobile phones, smart terminals, etc., or gateway, base station, controllers, etc., communication devices, or internet of things (internet of things, ioT) devices, such as sensors, electricity meters, water meters, etc.
The device of cloud server 102 may be a server. The server has high-speed processor (central processing unit, CPU) operational capability, long-time reliable operation, powerful input/output (I/O) external data throughput capability, and better scalability. The server may be a single server or a cluster of servers. The cloud service end serves the user end, and the content of the service provides resources for the user end, saves the data of the user end and the like. The cloud service end can be a targeted service program or service end equipment running the service program. The pertinence is a program or device specially set up for a certain client application.
The terminal device of the user terminal 101 may communicate with a server of the cloud service terminal 102. The terminal device and the server may communicate using various communication systems, for example, a wired communication system or a wireless communication system. The wireless communication system may be, for example, a global system for mobile communications (global system for mobile communications, GSM) system, a code division multiple access (code division multiple access, CDMA) system, a wideband code division multiple access (wideband code division multiple access, WCDMA) system, a general packet radio service (general packet radio service, GPRS), a long term evolution (long term evolution, LTE) system, an LTE frequency division duplex (frequency division duplex, FDD) system, an LTE time division duplex (time division duplex, TDD), a universal mobile telecommunications system (universal mobile telecommunication system, UMTS), a worldwide interoperability for microwave access (worldwide interoperability for microwave access, wiMAX) communication system, a future fifth generation (5th generation,5G) system or a New Radio (NR), a satellite communication system, etc.
The following describes a method for calibrating measurement data, and a device, an electronic device and a computer storage medium corresponding to the method, respectively, through specific embodiments. It should be noted that the following embodiments may exist alone or in combination with each other, and for the same or similar content, the description will not be repeated in different embodiments.
Based on the technical concept described above, the following describes the overall situation of a measurement data calibration method provided by the embodiment of the present application with reference to fig. 2. Fig. 2 is a schematic flow chart of a measurement data calibration method according to an embodiment of the present application. The method shown in fig. 2 comprises the following steps:
step S201: and respectively obtaining measurement data obtained by the first equipment and the second equipment for measuring the target parameters at the target position, taking the measurement data obtained by the first equipment for measuring the target parameters at the target position as first measurement data, and taking the measurement data obtained by the second equipment for measuring the target parameters at the target position as second measurement data.
The method comprises the steps of obtaining first measurement data obtained by measuring target parameters at a target position by a first device and second measurement data obtained by measuring the target parameters at the target position by a second device respectively.
In this embodiment, the first device and the second device are devices having a gas pressure measurement function. The first device and the second device can be used for measuring the gas pressure at the spatial position of the device. The first device is any one of the following devices: and distributing equipment carried by the resource, and acquiring equipment carried by a user of the online-to-offline service by equipment carried by a merchant staff. The type of the above gas pressure measuring apparatus includes: barometer, barometer sensor, etc.
In specific implementation, the first device and the second device are both described by taking an air pressure sensor as an example. The air pressure sensor is used for measuring the pressure intensity of the air. The air pressure sensor may be disposed in a delivery device for takeaway delivery personnel. For example, they are deployed in numerous devices such as smart phones, smart helmets, smart wearable devices, distribution boxes, distribution carts, etc. of takeaway distribution personnel. In the present embodiment, the first device is represented by the air pressure sensor 1, and the second device is represented by the air pressure sensor 2. The air pressure sensor 1 is arranged in the smart phone of the takeaway delivery person A, and the air pressure sensor 2 is arranged in the smart phone of the takeaway delivery person B. As the ambient air pressure changes at the location of the takeaway dispenser, the measured data from the air pressure sensor changes.
The target location is the same location where the first device and the second device co-exist in a temporal and spatial environment. That is, the target position is in the same position of the first device and the second device, the target position being a position where calibration of measurement data needs to be completed. In this embodiment, the target location is located at the geographic location X of store 1 1 Schematic representation. Of courseThe same position where the air pressure sensor 1 and the air pressure sensor 2 can coexist, except the geographic position X where the No. 1 shop as the target position is located 1 Other geographic locations may also be involved. For easy understanding, further explanation is made, as the movement track of the takeaway delivery person changes, the air pressure sensor 1 corresponding to the delivery device of the takeaway delivery person a and the air pressure sensor 2 corresponding to the delivery device of the takeaway delivery person B follow the change of the movement track, so that air pressure measurement of the position is completed, and measurement data is transmitted to the server through network communication. In a specific implementation, the server can analyze and obtain the same positions of the air pressure sensor 1 and the air pressure sensor 2, including: shop No. 1 (X) 1 ) Shop No. 2 (X) 2 ) Takeaway sorting point (X) 3 ) Etc.; the target positions of the air pressure sensor 1 and the air pressure sensor 2 are the geographic position X of the shop No. 1 in the same position 1 。
It should be appreciated that in a real scenario, takeaway delivery person a and takeaway delivery person B at the same delivery site will typically meet in the same area. For example, takeaway delivery person A may be at the same location as takeaway delivery person B, pick up goods to be delivered at the same location sort point, or take meals at the same merchant, etc. In this case, the possibility is created that the first device corresponding to takeaway delivery person a and the second device corresponding to takeaway delivery person B are located at the same location.
The target parameter is at least one of the following parameters: air pressure parameters, temperature parameters, humidity parameters. For ease of understanding, in this embodiment, a target parameter is taken as an example of a gas pressure parameter to be measured at the target position. The target parameter is a gas pressure parameter which is expected to be measured and obtained by the first equipment and the second equipment; the gas pressure parameter desired to be obtained at the target location is related to the actual data size of the gas pressure at the target location, and the actual gas pressure data size depends on the altitude of the geographical location at which the target location is located. In the present embodiment, the target parameter is P true A representation; namely, the true data of the target parameter is P true A representation; in the present embodiment also relates toReal data P 'corresponding to the measured data obtained by measuring the target parameters' true The data are calculated data, and detailed differences are introduced in the subsequent steps.
In this embodiment, the measurement data is air pressure measurement data measured by the first device and the second device, and is air pressure measurement data obtained by measuring the same target parameter at a target position. In the present embodiment, for convenience of distinction, the barometric pressure measurement data measured at different target positions by the barometric pressure sensor 1 as the first device is used P a Representing, e.g. P a1 、P a2 、P a3 Etc.; using P for barometric pressure measurement data measured by barometric pressure sensor 2 as a second device at a different target location b Representing, e.g. P b1 、P b2 、P b3 Etc.
In this example, store 1 (X 1 ) The geographic position is taken as a target position, and the target parameter is P true1 The first measurement data measured by the air pressure sensor 1 is P a1 The second measurement data measured by the air pressure sensor 2 is P b1 The method comprises the steps of carrying out a first treatment on the surface of the Similarly, if shop No. 2 (X 2 ) The geographic position is taken as a target position, and the target parameter is P true2 The first measurement data measured by the air pressure sensor 1 is P a2 The second measurement data measured by the air pressure sensor 2 is P b2 The method comprises the steps of carrying out a first treatment on the surface of the If the target location is a take-out sort point (X 3 ) The target parameter is P true3 The first measurement data measured by the air pressure sensor 1 is P a3 The second measurement data measured by the air pressure sensor 2 is P b3 The method comprises the steps of carrying out a first treatment on the surface of the Above P a1 、P a2 、P a3 Can be used for forming a first measurement data set corresponding to the first equipment air pressure sensor 1, and the P b1 、P b2 、P b3 Can be used to compose a second set of measurement data corresponding to the second device air pressure sensor 2.
The data in the first measurement data set is data obtained by measurement of the first device, and the measurement data is a measurement data set obtained by measuring different target parameters at different target positions; similarly, the second measurement data set is data obtained by measurement of the second device, and the data in the measurement data set is a measurement data set obtained by measuring different target parameters at different target positions.
In this embodiment, air pressure sensors are provided in smart phones used by takeaway delivery personnel a and takeaway delivery personnel B when they deliver. The air pressure sensors in the smart phones used by the takeaway delivery personnel A and the takeaway delivery personnel B can automatically complete the measurement of the current ambient air pressure value. It should be understood that, due to the difference in the devices of the air pressure sensors used by different takeaway distribution personnel, even in the case of the same air pressure sensor device model at the same place, at the same time, there is a certain difference in the air pressure data measured by the air pressure sensors. For example, store 1 (X 1 ) Where the true gas pressure data at this point is P true1 The real gas pressure is a target parameter expected to be measured by the gas pressure sensor; the data measured by the air pressure sensor 1 corresponding to the takeout and delivery personnel A at the position is P a1 The data measured by the air pressure sensor 2 corresponding to the takeaway delivery personnel B is P b1 . The measurement data is P a1 The measurement data is P b1 With the true gas pressure data P true1 In contrast, there is a certain data deviation, so the measured data P is required a1 And P b1 Calibration is performed.
It should be appreciated that in this embodiment, when the takeaway dispenser a is in the same location as the takeaway dispenser B, the smart phone used by the takeaway dispenser can perform near field sensing. Here, near field perception is explained. The near field sensing technology, which can be called as a near field communication technology, is used as a short-distance high-frequency wireless communication technology, can allow non-contact point-to-point data transmission and exchange data between electronic devices, and has the characteristics of simplicity, rapidness and automatic operation. In practical applications, the near field sensing technology includes bluetooth, infrared sensing, NFC, wi-Fi, beacon, GPS, zigBee, etc. In the embodiment of the application, the near field sensing technology can be used for the server to judge and determine whether different distribution personnel are at the same position or adjacent positions; that is, it is determined whether or not the takeaway dispenser a and the takeaway dispenser B are simultaneously at the target positions.
For example, takeaway dispenser A and takeaway dispenser B are connected to store number 1 (X 1 ) The server obtains the Wi-Fi signal of the shop No. 1 (X 1 ) After Wi-Fi log of (2), it can be determined that the takeaway dispenser A and the takeaway dispenser B are located at the same position (X 1 ) Or a nearby location. Of course, the above-described manner of determining the location by near-field interaction is various. Or in store 2 (X 2 ) When taking a meal, the Bluetooth modules of the takeaway delivery person A and the takeaway delivery person B receive a shop No. 2 (X 2 ) The server, after having acquired the bluetooth signal of shop No. 2 (X 2 ) After the Bluetooth log of (2), it is determined that the takeaway distributor A and the takeaway distributor B are in store No. 2 (X 2 ) Or a nearby location; the takeaway sorting point (X) can also be read by the NFC module of each smart phone for both takeaway and takeaway personnel a and B 3 ) NFC signals of (c), etc.
In particular, for takeaway delivery personnel A and takeaway delivery personnel B, the server determines that the time period of the near field interaction is [ t ] 1 -t 2 ，t 3 -t 4 ，t 5 -t 6 ]. Wherein [ t ] 1 -t 2 ]、[t 3 -t 4 ]、[t 5 -t 6 ]Respectively, as interaction time segments where takeaway and takeaway persons a and B are co-located at different locations. That is, the server judges that: at [ t ] 1 -t 2 ]In the period, the takeaway distributor a and takeaway distributor B are located at the same position of store No. 1 (X 1 ) The method comprises the steps of carrying out a first treatment on the surface of the At [ t ] 3 -t 4 ]In the period, the takeaway distributor a and takeaway distributor B are located at the same position of the shop No. 2 (X 2 ) The method comprises the steps of carrying out a first treatment on the surface of the At [ t ] 5 -t 6 ]In the time period, the same positions of the takeaway delivery personnel A and the takeaway delivery personnel B are taken as takeawaySell sorting point (X) 3 )。
For ease of understanding, in [ t ] 1 -t 2 ]For example. In the interaction time segment, the target position is referred to as shop 1 (X 1 ) Is determined by the geographic location of (a). During this time, takeaway and takeaway staff A and B are co-located at store 1 (X 1 ) At or adjacent to the location. "t 1 "means that takeaway person A is co-located with takeaway person B at X 1 Near field interaction at a geographic location begins a point in time; "t 2 "means that takeaway person A is co-located with takeaway person B at X 1 Near field interaction end time point at geographic location. Similarly, it will be appreciated that "t 3 ”、“t 4 ”、“t 5 ”、“t 6 "meaning. Of course, the time slices of the near field interaction of takeaway delivery person A and takeaway delivery person B can be 1 group of time slices or can be multiple groups of time slices, in this embodiment, the time period for interaction is illustrated by 3 groups of time slices, namely, the takeaway distribution person A and the takeaway distribution person B are in store 1 (X 1 ) Shop No. 2 (X) 2 ) Takeaway sorting point (X) 3 ) There are 3 near field interactions, and the time points of the 3 near field interactions are respectively [ t ] 1 -t 2 ]、[t 3 -t 4 ]、[t 5 -t 6 ]。
With the change of the movement track of the takeaway dispenser, in the smart phone of the takeaway dispenser a, the air pressure sensor 1 is mounted on the store No. 1 (X 1 ) The measured air pressure data at the position is p a1 ，p a1 At t 1 To t 2 A specific air pressure value measured during the time period; the air pressure sensor 1 is arranged in a shop No. 2 (X 2 ) The measured air pressure data at the position is p a2 ，p a2 At t 3 To t 4 A specific air pressure value measured during the time period; the air pressure sensor 1 is located at a take-out sorting point (X 3 ) The measured air pressure data at the position is p a3 ，p a3 At t 5 To t 6 The specific air pressure value measured during the time period. The air pressure data is p a1 ，p a2 ，p a3 Time data t 1 、t 2 、t 3 、t 4 、t 5 、t 6 Together forming a first measurement data set of the air pressure sensor 1. Of course, the specific air pressure value measured in the above-mentioned time period may be an average value of the air pressure values in the time period, or may be an instantaneous value or a median value of the air pressure values in the time period.
Similarly, in the smart phone of takeaway distribution person B, the air pressure sensor 2 of the smart phone is installed in store No. 1 (X 1 ) The measured air pressure data at the position is P b1 ，P b1 At t 1 To t 2 A specific air pressure value measured during the time period; the air pressure sensor 2 is arranged in a shop No. 2 (X 2 ) The measured air pressure data at the position is P b2 ，P b2 At t 3 To t 4 A specific air pressure value measured during the time period; the air pressure sensor 2 is located at the take-out sorting point (X 3 ) The measured air pressure data at the position is P b3 ，P b3 At t 5 To t 6 The specific air pressure value measured during the time period. The air pressure data is P b1 ，P b2 ，P b3 Time data t 1 、t 2 、t 3 、t 4 、t 5 、t 6 Together forming a second measurement data set of the air pressure sensor 2.
In this embodiment, the time data in the first measurement data set and the time data in the second measurement data set are the same data. That is, the first device and the second device act as a device pair, and the data times of the two devices in the device pair remain identical. In particular, the above time data is "t 1 The "12 hour 01 minute" or "12 hour 01 minute 03 seconds" can be accurate.
It should be appreciated that due to the difference in the devices of the air pressure sensors used by takeaway personnel, there may be some data deviation of the obtained air pressure data from the actual air pressure value in the same air pressure environment at the same point in time at the same location. For example, the actual air pressure value of the shop 1 at the early 8 th XX day is 882.5hPa, the air pressure value measured by the air pressure sensor 1 in the smart phone used by takeaway and delivery personnel a at the moment is 893.2hPa, the air pressure value measured by the air pressure sensor 2 in the smart phone used by takeaway and delivery personnel B at the moment is 877.6hPa, and the above values can reflect the deviation between the measured air pressure value and the actual air pressure value, and can also indicate that different air pressure devices have a certain influence on the measured air pressure value.
In this embodiment, the method further includes:
step S201-1: obtaining a plurality of device pairs, both devices in each of the plurality of device pairs measuring a target parameter at the same location;
step S201-2: obtaining a measured data similarity between devices in each of the plurality of device pairs;
step S201-3: determining the equipment in the equipment pair with the measured data similarity meeting the preset similarity condition as calibration anchor point equipment;
the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device respectively includes: and if the first equipment and the second equipment are calibration anchor point equipment, respectively obtaining measurement data obtained by measuring target parameters at a target position by the first equipment and the second equipment.
In step S201-1, it is to be understood that the number of measurement data obtained by the same device on the server side at different times and at different places is large. The measurement data of different devices at different times and at different locations is also numerous. After obtaining a huge amount of measurement data, the server can pair the devices according to the target positions and the target parameters corresponding to the measurement data. For example, in the server, measurement data corresponding to the air pressure sensor 1, the air pressure sensors 2, … …, and the air pressure sensor N is obtained, and the server needs to find two or more devices that measure the target parameter at the same position. The two or more devices found are paired to construct a device pair. Typically, the devices obtained are numerous in number at the same location and under the same target parameters.
Wherein the obtaining a plurality of device pairs includes: obtaining any two devices located at the same position in the same time period; and if the target parameters are measured by any two devices at the same position, constructing the any two devices into a device pair. When the method is implemented, firstly, two devices are required to be determined to be positioned at the same position in the same time period; second, it is necessary to determine whether both devices have measured the target parameters. In the case where the above condition is satisfied, it can be determined as a device pair.
For ease of understanding, an illustration is made. In an embodiment, the server acquires a plurality of device pairs through a WiFi log reported by the user side. For example, a device pair 1 composed of a first device and a second device, a device pair 2 composed of a first device and a third device, and the like. Taking the device pair 1 as an example, a detailed description will be given. The air pressure sensor 1 as the first device and the air pressure sensor 2 as the second device are described above at [ t ] 1 -t 2 ]Shop number 1 (X) 1 ) At the position, and the air pressure sensor 1 and the air pressure sensor 2 are at the X 1 Where the target parameter P is measured true1 And the measurement data obtained by the air pressure sensor 1 is P a1 The measurement data obtained by the air pressure sensor 2 is P b1 . Further, the same device pair may be located at the same or different target locations within different time periods; the target locations may be the same or different between different pairs of devices within the same time period.
Wherein, the obtaining any two devices located at the same position in the same time period comprises the following modes:
first, movement track data of any two devices are obtained, if it is determined that the movement track data of any two devices all include position data of the same position, and time points of any two devices located at the same position are all within the same time period, the any two devices are determined to be any two devices located at the same position within the same time period, and the movement track data of any two devices includes position location data of any two devices.
For example, movement locus data of the air pressure sensor 1 and the air pressure sensor 2 is obtained, the movement locus data being identical to movement locus data of a smart phone in which the air pressure sensor is located. The GPS module (Global Positioning System global positioning system) of the smart phone can obtain the position positioning data, and further obtain the movement track data. The server analyzes the movement track data of the air pressure sensor 1 and the movement track data of the air pressure sensor 2, and determines that the movement track data of the air pressure sensor 1 and the movement track data of the air pressure sensor 2 are included in the shop 1 (X 1 ) Shop No. 2 (X) 2 ) Takeaway sorting point (X) 3 ) Equivalent to the position data of the one position, the air pressure sensor 1 and the air pressure sensor 2 are determined as the device pair. The movement track data of the corresponding equipment obtained by the server contains equipment information of the equipment, and the equipment information is used for forming equipment pairs.
Second, a first log of sending and receiving a near-field communication signal sent by the near-field communication sending and receiving device located at the same position is obtained, if it is determined that the near-field communication sending and receiving device detects the near-field communication signal sent by any two devices in the same time period according to the first log of sending and receiving a near-field communication signal, the any two devices are determined to be any two devices located at the same position in the same time period, and the first log of sending and receiving a near-field communication signal records information of a time point when the near-field communication sending and receiving device detects the near-field communication signal and information of a device sending the near-field communication signal.
For example, shop No. 1 (X 1 ) The WiFi signal receiving and transmitting device can receive the WiFi signal when takeout personnel move to the vicinity of the position. Shop No. 1 (X) 1 ) The WiFi signal receiving and transmitting device can record the connection condition of the WiFi signal in a first log mode and report the connection condition to the server. The server obtains shop number 1 (X) 1 ) After the first log of the above, the time point information (near-field interaction end time) of the connection and disconnection of the above-mentioned WiFi signal by the air pressure sensor 1 can be obtainedPoint, near field interaction end time point), device information of the air pressure sensor 1; the time point information of the connection and disconnection of the WiFi signal of the air pressure sensor 2 and the equipment information of the air pressure sensor 2 can also be obtained; if it is determined that store 1 (X 1 ) The WiFi signals of the air pressure sensor 1 and the air pressure sensor 2 are connected by the smart phone near field communication module where the air pressure sensor 1 and the air pressure sensor 2 are respectively located, and then the equipment information of the air pressure sensor 1 and the equipment information of the air pressure sensor 2 are utilized to form equipment pairs.
Thirdly, a second log for receiving and transmitting short-range communication signals sent by one of the two arbitrary devices is obtained, if it is determined that the short-range communication signals sent by the other of the two arbitrary devices are detected at least at one time point in the same time period and at the same position by the one of the two arbitrary devices according to the second log for receiving and transmitting short-range communication signals, the two arbitrary devices are determined to be any two devices located at the same position in the same time period, and the second log for receiving and transmitting short-range communication signals records time point information of the short-range communication signals detected by the one of the two arbitrary devices and device information of the device sending the short-range communication signals.
For example, a WiFi log sent by a smart phone of the takeaway dispenser a where the air pressure sensor 1 is located is obtained, and the WiFi log is used as a second log to record a WiFi history record of a smart phone of the takeaway dispenser a connected to other devices, and if the wlan module of the smart phone of the takeaway dispenser B where the air pressure sensor 2 is located receives the WiFi signal, the second log records information of a time point when the wlan module receives WiFi and information of a time point when the WiFi is disconnected (a near field interaction end time point and a near field interaction end time point) and device information of the air pressure sensor 2.
The movement track data, the short-range communication signal receiving and transmitting first log and the short-range communication signal receiving and transmitting second log of the equipment can be used for pairing the equipment in pairs on one side of the server, and the equipment pair is obtained.
In this embodiment, the method further includes: judging whether to obtain measurement data which are reported by any two devices and are obtained by measuring the target parameters at the same position; and if the measurement data reported by the arbitrary two devices and obtained by measuring the target parameters at the same position are confirmed to be obtained, determining that the arbitrary two devices measure the target parameters at the same position. For example, the server needs to determine whether to obtain [ t ] 1 -t 2 ]Shop number 1 (X) 1 ) Where the target parameter P is measured from the air pressure sensor 1 true1 Is measured with the data P of (1) a1 Measuring target parameter P from barometric sensor 2 true1 Is measured with the data P of (1) b1 . The server judges that the measurement data P is obtained a1 And measurement data P b1 In the case of (a), it can be determined that the air pressure sensor 1 and the air pressure sensor 2 are in the shop No. 1 (X 1 ) Where the target parameter P is measured true1 。
In this embodiment, the method further includes: obtaining measurement data obtained by measuring the target parameter at least one position in at least one time period by two devices in each device pair; obtaining a measured data distance measurement value between two devices in each device pair according to measured data obtained by measuring the target parameter at least one position in at least one time period by the two devices in each device pair; and obtaining the similarity of the measured data between the devices in each device pair according to the measured data distance measurement value between the two devices in each device pair.
In particular, in the device pair 1 formed by the air pressure sensor 1 and the air pressure sensor 2: shop with target position 1 (X) 1 ) When the measured target parameter is P true1 The first measurement data measured by the air pressure sensor 1 is P a1 The second measurement data measured by the air pressure sensor 2 is P b1 The method comprises the steps of carrying out a first treatment on the surface of the Shop with target position No. 2 (X) 2 ) When the measured target parameter is P true2 The first measurement data measured by the air pressure sensor 1 is P a2 Second measurement number measured by the air pressure sensor 2According to P b2 The method comprises the steps of carrying out a first treatment on the surface of the The target location is the take-out sorting point (X 3 ) When the measured target parameter is P true3 The first measurement data measured by the air pressure sensor 1 is P a3 The second measurement data measured by the air pressure sensor 2 is P b3 . The data can be used to calculate the measurement value of the distance "d" between the air pressure sensor 1 and the air pressure sensor 2 12 "; the measured data distance measurement value "d 12 "can be used to calculate the measurement data similarity between the air pressure sensor 1 and the air pressure sensor 2" S 12 ". Similarly, from the pair of devices 2 formed by the air pressure sensor 1 and the air pressure sensor 3, the measurement data similarity "S" between the air pressure sensor 1 and the air pressure sensor 3 can be calculated 13 ”。
If the number of the measured data obtained by measuring the target parameter at the same position in the same time period by two devices in any one device pair is a plurality of, acquiring average measured data or median measured data in the measured data obtained by measuring the target parameter at the same position in the same time period by the two devices in any one device pair; for example, the air pressure sensor 1 is installed in a shop No. 1 (X 1 ) The measured air pressure data at the position is p a1 ，p a1 At t 1 To t 2 A specific air pressure value measured during the time period; the specific air pressure value p a1 For t is 1 To t 2 Average or median air pressure over a period of time.
The method for obtaining the measurement data distance measurement value between the two devices in each device pair according to the measurement data obtained by measuring the target parameter at least one position in at least one time period by the two devices in each device pair comprises the following steps: and obtaining a measured data distance measurement value between two devices in each device pair according to average measured data or median measured data obtained by measuring the target parameter at the same position in the same time period by the two devices in any device pair.
Wherein the obtaining the measurement data distance measurement value between the two devices in each device pair according to the measurement data obtained by measuring the target parameter at least one position in at least one time period by the two devices in each device pair comprises: obtaining a measured data difference value between measured data obtained by measuring the target parameter at the same position in the same time period by two devices in any pair; acquiring duration data of the same time period; and obtaining the measurement data distance measurement value between the two devices in any one device pair according to the measurement data difference value and the duration data of the same time period.
For example, the air pressure sensor 1 and the air pressure sensor 2 are installed in a shop 1 (X 1 ) At position t 1 To t 2 Measuring target parameter P during a time period true1 The obtained measurement data P a1 And measurement data P b1 The difference in measurement data between can be expressed as "(P) b1 -P a1 ) ", t is as described above 1 To t 2 The duration data within a time period may be expressed as "(t) 2 -t 1 ) ". For another example, the air pressure sensor 1 and the air pressure sensor 2 are arranged in a shop No. 2 (X 2 ) At position t 3 To t 4 Measuring target parameter P during a time period true2 The obtained measurement data P a2 And measurement data P b2 The difference in measurement data between can be expressed as "(P) b2 -P a2 ) ", t is as described above 3 To t 4 The duration data within a time period may be expressed as "(t) 4 -t 3 )”。
If both devices in any one device pair measure the target parameter at a plurality of positions in a plurality of time periods, the number of measurement data differences is a plurality, and the number of duration data is a plurality.
The obtaining the measurement data distance metric value between the two devices in any pair of devices includes:
obtaining a product value between the time length data of any one time period in the plurality of time periods and the measured data difference value corresponding to the any one time period; for example, "(t 2 -t 1 )*abs(P b1 -P a1 )”。
Obtaining the sum of the product values corresponding to all the time periods in the time periods as a product sum; for example, "(t 2 -t 1 )*abs(P b1 -P a1 )+(t 4 -t 3 )*abs(P b2 -P a2 )+(t 6 -t 5 )*abs(P b3 -P a3 )”。
Obtaining the sum value of the duration data of all the time periods in the plurality of time periods as a duration sum value; for example, "(t 2 +t 4 +t 6 -t 1 -t 3 -t 5 )”。
And obtaining a quotient between the product and the duration sum as a measured data distance measurement value between two devices in any pair of devices. In particular, the measured data distance measurement value of the air pressure sensor 1 and the air pressure sensor 2 is "d 12 "means; the formula of calculating the distance metric of the measurement data according to the product and the duration sum is shown in formula 1-1.
The obtaining the similarity of the measured data between the devices in each device pair according to the measured data distance measurement value between the two devices in each device pair comprises the following steps: and inputting the measured data distance measurement value between the two devices in each device pair into a relation function between the measured data similarity and the measured data distance measurement value, and obtaining the measured data similarity between the devices in each device pair.
In the relation function between the measured data similarity and the measured data distance metric, the measured data similarity is a variable, the measured data distance metric is an independent variable, and the measured data distance metric is a power value of the indication function.
In order to facilitate understanding of the measurement data distance measurement values and the measurement data similarity between the devices in the pair, a detailed description is made. Taking the device pair 1 as an example, the air pressure sensor 1 and the air pressure sensor 2 of the device pair 1 coexist at the same position at 3, and the device pair comprises: shop No. 1 (X) 1 ) Shop No. 2 (X) 2 ) Takeaway sorting point (X) 3 ). The air pressure sensor 1 and the air pressure sensor 2 measure the target parameters at the same position at the position 3 to obtain corresponding measurement data P a1 、P a2 、P a3 、P b1 、P b2 、P b3 Time data t 1 、t 2 、t 3 、t 4 、t 5 、t 6 。
The obtained first measurement data and second measurement data can be used for calculating the measurement data distance measurement value d between the first device and the second device 12 . In the present embodiment, the measurement data distance metric value measured by the air pressure sensor 1 and the air pressure sensor 2 is calculated as follows:
d＝((t 2 -t 1 )*abs(P b1 -P a1 )+(t 4 -t 3 )*abs(P b2 -P a2 )+(t 6 -t 5 )*abs(P b3 -P a3 ))/(t 2 +t 4 +t 6 -t 1 -t 3 -t 5 ) Equation 1-1 wherein d represents a measured data distance metric value between two devices; abs represents an absolute value function;
in the present embodiment, the measured data distance measurement value "d" measured by both the air pressure sensor 1 of the takeaway dispenser a and the air pressure sensor 2 of the takeaway dispenser B is calculated 12 ", the measurement data similarity" S "between the two devices of the air pressure sensor 1 and the air pressure sensor 2 can be further obtained 12 ". The calculation formula of the similarity of the measured data between the air pressure sensor devices is as follows:
s=2/(1+c exp (-d k)) formula 1-2
Wherein s represents the similarity of the measurement data; d represents a measured data distance metric value; k and c are constants. It should be appreciated that the similarity of measured data between the above-described barometric pressure sensor devices is used to indicate the proximity between measured barometric pressure data.
In the present embodiment, based on measurement data between air pressure data measured by both the air pressure sensor 1 of the takeaway dispenser a and the air pressure sensor 2 of the takeaway dispenser BDistance measurement value "d 12 ", the measurement data similarity" S between the air pressure sensor 1 and the air pressure sensor 2 is calculated 12 ". It should be appreciated that in a real scenario, the number of devices that can perform near field interaction with the delivery device of takeaway delivery person a or the delivery device of takeaway delivery person B at store 1 is not limited, and may be one device or multiple devices. In this embodiment, for ease of understanding, the example of near field interaction between the smart phone of takeaway delivery person a and the smart phone of takeaway delivery person B will be described. Of course, near field interaction is performed between the smart phone of the takeaway delivery person A and the smart phone of the takeaway delivery person C, so that the measurement data similarity S between the air pressure sensor 1 and the air pressure sensor 3 can be calculated and obtained 13 "; near-field interaction is carried out between the smart phone of the takeaway delivery person B and the smart phone of the takeaway delivery person C, so that the measurement data similarity S between the air pressure sensor 2 and the air pressure sensor 3 can be calculated and obtained 23 "and the like. Through the above-described process, the measurement data similarity between a plurality of different air pressure sensor devices can be calculated.
In this embodiment, the method further includes: and taking the equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold as a node in the graph, constructing an edge in the graph between two pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold, taking the measured data similarity between the pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold as the weight of the edge of the two pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold, and constructing a target parameter measurement equipment association graph.
The devices in the above device pairs may be used to form nodes in a target parameter measurement device association graph. Further, the nodes forming the target parameter measurement device association graph are nodes corresponding to devices with measurement data similarity exceeding a composition similarity threshold. That is, in the process of forming the target parameter measurement device association diagram, the device needs to be screened according to the measurement data similarity "S", and the screening condition is a preset composition similarity threshold. The composition similarity threshold may be a data value preset by the server, or may be a threshold dynamically set by the server in the process of calibrating measurement data.
The determining the device in the device pair with the measured data similarity meeting the preset similarity condition as the calibration anchor point device comprises the following steps: searching equipment pairs with similarity of measurement data meeting a preset similarity condition in the association diagram of the construction target parameter measurement equipment; and determining the equipment in the equipment pair, the similarity of which meets the preset similarity condition, from the measurement data found in the construction target parameter measurement equipment association diagram as calibration anchor point equipment.
For ease of understanding the above-described target parameter measurement device correlation diagram constructed by the measured data similarity between different air pressure sensor devices obtained by calculation, reference is made to the schematic diagram of fig. 4. 1 node in the map represents 1 barometric pressure sensor device. The graph is composed of a plurality of nodes, indicated by "++", "-o", respectively. Node 3 is used to represent air pressure sensor 3, node 7 is used to represent air pressure sensor 7; and obtaining the similarity of measurement data between the air pressure sensor 3 and the air pressure sensor 7 through calculation, and carrying out equipment connection between the node 3 and the node 7 under the condition that the composition similarity threshold is exceeded. The weight of the sides of the node 3 and the node 7 is the similarity of the measured data between the air pressure sensor 3 and the air pressure sensor 7. Also shown in this figure are nodes of different device signals, such as node a.
In this embodiment, the above-constructed target parameter measurement device association graph can be used to determine a calibration anchor device, specifically: in the target parameter measurement device association diagram, the measurement data similarity between two nodes with connected edges is counted according to the model number of the air pressure sensor device.
It should be understood that the air pressure sensor devices are composed of numerous models, and the air pressure sensor devices represented by different device models are significantly different. Further, the measured barometric pressure measurement data is more significant due to differences between barometric pressure sensor devices. For example, the device model of the air pressure sensor includes: device model I, device model II, device model III, device model IV and device model V. Each device model is composed of at least one or more devices corresponding to the model. Schematically, the device model i is composed of devices 1, 2, 3, … …, and the like. The equipment model II consists of equipment a, equipment b, equipment c, equipment d … … and the like.
In the target parameter measurement device association diagram shown in fig. 4, the nodes (air pressure sensor devices) with the connected edges are counted according to the device types i, ii, iii, iv, v of the air pressure sensors, and the device types are counted. And selecting K models with higher similarity of the measured data as matching models of the calibration anchor point equipment. In the embodiment, the average value of the similarity of the measured data corresponding to each equipment model is obtained by carrying out similarity statistics on the measured data of the equipment corresponding to the equipment model I, the equipment model II, the equipment model III, the equipment model IV and the equipment model V; and sequencing the average value of the similarity of the measurement data corresponding to each equipment model, and obtaining the first N models with higher average value as matching models of the calibration anchor points. Through screening and sorting, the device model I and the device signal II are used as matching models of calibration anchor point devices, and then in the target parameter measurement device association diagram shown in fig. 4, devices (nodes) corresponding to the device model I and the device signal II are all calibration anchor point devices, and the device models serving as the calibration anchor points are small in difference and high in consistency. For ease of understanding, in the association diagram shown in fig. 4, the calibration anchor device and the normal node device are represented by different symbols. As shown in fig. 4, the calibration anchor device is represented by a "+% icon, and the normal node device is represented by a" Σicon.
In this step of the present embodiment, the above-described respectively obtained store (X 1 ) Target parameter P at location true1 The measurement data obtained by the air pressure sensor 1 is "P a1 The measurement data obtained by the air pressure sensor 2 is "P b1 。”
Step S202: obtaining a measurement data calibration function, wherein the measurement data calibration function is used for representing a functional relation between measurement data obtained by measuring a target parameter at any position of equipment and real data of the target parameter at any position, and the measurement data calibration function comprises the measurement data calibration parameter of the equipment.
This step is used to obtain a measurement data calibration function.
The measurement data calibration function may be used to calibrate the first measurement data and the second measurement data. It should be understood that the measurement data calibration function is one-to-one corresponding to the device of the air pressure sensor as the data calibration function. That is, the air pressure sensor devices are each provided with a respective measurement data calibration function. Through the measurement data calibration function, the association relationship between the measurement data obtained by measuring the target parameter at any position of the equipment and the real data of the target parameter at the target position can be established.
The barometric pressure measurement data measured by the barometric pressure sensor is typically a function of the actual barometric pressure value as a target parameter, as shown in the following equation:
y＝f(p ture ) Formulas 1-3
Wherein y represents measurement data measured by the air pressure sensor, e.g. P a1 、P b1 Etc.; p is p ture Representing target parameters, e.g. P true1 、P true2 Etc.; f represents a polynomial function, wherein p ture Is an argument of the function f.
In particular, the first device has a corresponding measurement data calibration function f 1 The method comprises the steps of carrying out a first treatment on the surface of the The second device has a corresponding measurement data calibration function f 2 . For ease of understanding, the function f is calibrated with measured data 1 The details are given for the examples. Calibration function f for measurement data 1 Can be used for indicating that the air pressure sensor 1 is arranged in a shop No. 1 (X 1 ) At the position, the true air pressure value P as the target parameter is measured true1 And the obtained measured air pressure data P a1 Functional relation between them, measurement data calibration function f 1 Can also be used for indicating that the air pressure sensor 1 is arranged in the shop No. 2 (X 2 ) At the position, the true air pressure value P as the target parameter is measured true2 And the obtained measurement data P a2 A functional relationship between them. The measurement data calibration function f 1 As a polynomial function composed of corresponding measured data calibration parameters, e.g. parameter m a 、n a 、O a Etc.
For ease of understanding, in the present embodiment, the above-described measurement data calibration function "f function" is described by taking a binomial example, and the measurement data calibration function is a function of the following form:
Wherein y represents measurement data obtained by measuring a target parameter by the apparatus, e.g. P a1 、P b1 Etc.; p is p ture True data representing the target parameter, e.g. P true1 、P true2 Etc.; m, n, o are measurement data calibration parameters of the device, e is noise data of a module for measuring the target parameters in the device.
In particular, the values of the m, n, o measurement data calibration parameters in the above formulas 1 to 4 are different for different measurement devices. For easy understanding, in the present embodiment, the measurement data calibration parameters in the measurement data calibration function corresponding to the air pressure sensor 1 are respectively represented by m a 、n a 、o a A representation; the measured data calibration parameters in the measured data calibration function corresponding to the air pressure sensor 2 are respectively used m b 、n b 、o b And (3) representing. It should be understood that the above process is a process of obtaining a binomial form of the measurement data calibration function corresponding to the air pressure sensor device, and for the measurement data calibration function of the air pressure sensor 1 and the measurement data calibration function of the air pressure sensor 2, the measurement data calibration parameter m a 、n a 、o a 、m b 、n b 、o b Is obtained by calculation requiring a subsequent step, is currently unknown. In general, not as high an order of a plurality of items is better; the higher the order of the above polynomial, the more data is required in calibration of the measurement data. In addition, the system of higher-order terms The number cannot be approximated simply as a constant related to the apparatus, and is affected by other factors such as air temperature, humidity, etc.
In this step of the present embodiment, the obtained measurement data calibration function is of the binomial form
Step S203: and respectively obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function, and taking the device with the obtained measurement data calibration parameter value as a calibrated device.
This step is used to obtain the measurement data calibration parameter values of the first device and the measurement data calibration parameter values of the second device.
In this embodiment, the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device includes: and respectively obtaining measurement data obtained by measuring target parameters at a plurality of target positions by the first equipment and the second equipment, wherein the number of the first measurement data is a plurality of the measurement data, and the number of the second measurement data is a plurality of the measurement data. For example, store 1 (X 1 ) Where [ t ] 1 -t 2 ]During the time period, the first measurement data P measured by the air pressure sensor 1 a1 Second measurement data P measured by the air pressure sensor 2 b1 The method comprises the steps of carrying out a first treatment on the surface of the Shop number 2 (X) 2 ) Where [ t ] 3 -t 4 ]During the time period, the first measurement data P measured by the air pressure sensor 1 a2 Second measurement data P measured by the air pressure sensor 2 b2 The method comprises the steps of carrying out a first treatment on the surface of the Obtaining a target location take-out sort Point (X 3 ) Where [ t ] 5 -t 6 ]During the time period, the first measurement data P measured by the air pressure sensor 1 a3 Second measurement data P measured by the air pressure sensor 2 b3 。
The obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: and respectively obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function. That is, the above-described process of acquiring the measurement data calibration parameter values corresponding to the first device and the second device is a process of solving the equation set by means of the measurement data calibration function based on the plurality of first measurement data and the plurality of second measurement data. For example, according to p a1 ，p a2 ，p a3 …、P b1 ，P b2 ，P b3 … and measurement data calibration functionForming a set of equations, solving for m a 、n a 、o a 、m b 、n b 、o b Is a process of specific parameter values.
In the above case, the number of target positions is determined as follows: determining a sum of a number of calibration parameters of the measurement data calibration parameters of the first device and a number of calibration parameters of the measurement data calibration parameters of the second device; and determining the number of target positions according to the number and the value of the calibration parameters of the measurement data calibration parameters of the first device and the measurement data calibration parameters of the second device. That is, the target position number is obtained based on the sum of the calibration parameters of the measurement data calibration parameters to be solved. For example, the data to be solved is m a 、n a 、o a 、m b 、n b 、o b The number and value of the calibration parameters are 6, and the number of target positions is 7.
Wherein the difference between the number of target positions and the number and value of calibration parameters of the measurement data calibration parameters of the first device and the measurement data calibration parameters of the second device is 1.
In an embodiment of the present application, the obtaining, according to the first measurement data, the second measurement data, and the measurement data calibration function, a measurement data calibration parameter value of the first device and a measurement data calibration parameter value of the second device respectively includes:
Step S203-1, respectively inputting the first measurement data and the second measurement data into the measurement data calibration function to obtain an equation set, wherein in the equation set, the measurement data calibration parameters of the first device and the measurement data calibration parameters of the second device are parameters to be solved;
step S203-2, according to the equation set, solving the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device.
In the present embodiment, the currently known data is the measurement data "P" of the air pressure sensor 1 a1 ，P a2 ，P a3 The method comprises the steps of carrying out a first treatment on the surface of the The measurement data of the air pressure sensor 2 is "P b1 ，P b2 ，P b3 ". Equations thus obtainable include:
it should be understood that in the above equation, the known number is P a1 ，P a2 ，P a3 ；P b1 ，P b2 ，P b3 The method comprises the steps of carrying out a first treatment on the surface of the The data to be solved includes: the value of the calibration parameter of the measurement data is m a 、n a 、o a 、m b 、n b 、o b Measurement data P true1 . If the specific numerical value of the 7 unknowns is to be obtained, the known number is P a1 ，P a2 ，P a3 ；P b1 ，P b2 ，P b3 In the case of (2), it is necessary to obtain measurement data corresponding to the above-mentioned air pressure sensor 1 and air pressure sensor 2 at 7 target positions; that is, the number of target positions is 7, e.g. "P a1 ，P a2 ，…、P a7 "and" P b1 ，P b2 ，…、P b7 ". Solving to obtain specific values corresponding to 13 unknowns by combining 14 equations as shown in equations 1-5, including: m is m a 、n a 、o a 、m b 、n b 、o b 、P true1 、P true2 、……、P true7 。
In this step of the present embodiment, the measurement data calibration parameter value of the air pressure sensor 1 obtained as described above is m a 、n a 、o a The value of the measurement data calibration parameter of the air pressure sensor 2 is m b 、n b 、o b And also obtain the target position shop No. 1 (X 1 ) Target parameter P at location true1 The method comprises the steps of carrying out a first treatment on the surface of the The air pressure sensor 1 and the air pressure sensor 2, which obtain the above-mentioned measurement data calibration parameter values, are both used as calibrated devices.
Step S204: calibrating measurement data obtained by measuring target parameters of the calibrated equipment according to the measurement data calibration parameter values of the calibrated equipment; or obtaining the measurement data calibration parameter value of an uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function, wherein the uncalibrated device is an uncalibrated device which measures the target parameter of the same position with the calibrated device.
The step is used for calibrating according to the measurement data of the calibrated equipment; alternatively, measured data calibration parameter values for the uncalibrated device are obtained. Namely, the measurement data calibration is completed according to the measurement data calibration parameter value of the calibrated equipment; or a process of obtaining the measurement data calibration parameter values of the uncalibrated device.
The calibrating the measurement data obtained by the subsequent measurement target parameters of the calibrated device according to the measurement data calibration parameter values of the calibrated device comprises the following steps: and inputting the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment and the measurement data calibration parameter values of the calibrated equipment into the measurement data calibration function to obtain real data corresponding to the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment. That is, the measured data calibration parameter value m of the calibrated device air pressure sensor 1 is obtained in step S203 a 、n a 、o a Measurement data calibration parameter value m of air pressure sensor 2 b 、n b 、o b In the case of (2), the barometric pressure sensor 1 and the barometric pressure sensor 2 are subsequently used for measuring the target parameter P truex The obtained measurement data P ax 、P bx Input into the binomial form In (1) can obtain the measurement data P ax 、P bx Corresponding real data P' truex . The real data P 'corresponding to the measured data' truex And target parameter P truex The difference is that the real data P 'corresponding to the measured data' truex For calibrating the parameter value and the data obtained by the calculation of the measurement data calibration function based on the measurement data, the target parameter P truex The gas pressure parameter obtained for the desired measurement is related to the actual data size of the gas pressure there.
For ease of understanding, an illustration is made. In the first case of the present embodiment, if the air pressure sensor 1 is used as a calibrated device, it measures the data calibration parameter value m a 、n a 、o a When known, can be according to the inclusion of m a 、n a 、o a For the measurement data P obtained by measuring the target parameter of the air pressure sensor 1 at the subsequent target position ax Calibration is performed as follows:
it should be understood that the measurement data obtained by the barometric pressure sensor 1 at the target position is P ax By combining P ax Substituting the above formula 1-11 to calculate and obtain corresponding P' truex By calculating the P' truex True data P of the target parameter at the target position truex Comparing to obtain deviation of the data, thereby realizing measurement data as P ax Is used for the calibration of (a). The above-described process is a process of calibrating the subsequent measurement data of the air pressure sensor 1 in the case where the air pressure sensor 1 is used as a calibrated device whose measurement data calibration parameter value is known. I.e. the calibration process of the self-uncalibrated measurement data is completed according to the measurement data calibration parameter values of the calibrated device.
The obtaining the measurement data calibration parameter values of the uncalibrated device according to the measurement data calibration parameter values of the calibrated device and the measurement data calibration function comprises the following steps: obtaining measurement data obtained by the calibrated device for measuring the target parameter at the same position as calibrated device measurement data; obtaining measurement data obtained by measuring the target parameter at the same position by the uncalibrated equipment, and taking the measurement data as uncalibrated equipment measurement data; respectively inputting the measurement data of the calibrated equipment, the measurement data calibration parameter value of the calibrated equipment and the measurement data of the un-calibrated equipment into the measurement data calibration function to obtain an equation set, wherein in the equation set, the measurement data calibration parameter of the un-calibrated equipment is a parameter to be solved; and solving the measurement data calibration parameter values of the uncalibrated equipment according to the equation set.
The obtaining the measurement data calibration parameter values of the uncalibrated device according to the measurement data calibration parameter values of the calibrated device and the measurement data calibration function comprises the following steps: based on the measurement data calibration parameter values of the plurality of calibrated devices and the measurement data calibration function, a measurement data calibration parameter value of an uncalibrated device is obtained. In practice, an uncalibrated device may be calibrated based on a plurality of calibrated devices.
The number of the same positions is a plurality of, and the difference between the number of the same positions and the number of the measurement data calibration parameters of the uncalibrated equipment is 1.
The obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: and respectively obtaining the measurement data calibration parameter value of the first equipment, the measurement data calibration parameter value of the second equipment and the real data of the target parameter of the target position according to the first measurement data, the second measurement data and the measurement data calibration function.
In the second case, in this embodiment, if the air pressure sensor 1 is used as a calibrated device, it measures the data calibration parameter value m a 、n a 、o a When known, can be according to the inclusion of m a 、n a 、o a Obtaining a measurement data calibration parameter value m of the uncalibrated device air pressure sensor 3 c 、n c 、o c . The measurement data calibration parameter value m of the uncalibrated device air pressure sensor 3 is obtained c 、n c 、o c The specific process of (2) is as follows:
it should be appreciated that at the same target location, such as target location # 1 shop (X 1 ) When m of the air pressure sensor 1 a 、n a 、o a When known, based on the barometric pressure measurement data P measured by the barometric pressure sensor 1 a1 Can calculate and obtain P at the target position true1 . Similarly, P can be calculated true1 、P true2 、P true3 、P true4 。
In the above equation, the known number is m a 、n a 、o a 、P a1 、P a2 、P a3 、P a4 、P true1 、P true2 、P true3 、P true4 The method comprises the steps of carrying out a first treatment on the surface of the The number to be solved includes m c 、n c 、o c . In order to solve the specific values of the 3 unknowns, it is necessary to obtain measurement data corresponding to the 4 target positions of the barometric pressure sensor 1 and the barometric pressure sensor 2, as shown by "P" in the formula a1 ，P a2 ，…、P a4 "and" P c1 ，P c2 ，…、P c4 ". Solving for the measurement data calibration parameter value m of the uncalibrated device by combining 8 equations as shown above c 、n c 、o c P true1 . Through the above process, calibration of measurement data of the calibrated device to the uncalibrated device is achieved.
In the third case, in the case where the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device, and the real data of the target parameter are both unknowns, the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device need to be obtained, and the processing procedure may adopt the schematic in step S203 of the present embodiment, which is not described herein again.
In this embodiment, the method further includes: according to the real data of the target parameters of the target position, updating the similarity of measurement data between devices in the device pair where the non-calibrated devices exist in the device pair where the first device or the second device is located; and determining the equipment in the pair of the updated measurement data similarity meeting the preset similarity condition as the calibration anchor point equipment.
In the specific implementation, in the target parameter measurement device association diagram of this embodiment, after calibration of a node is completed, according to the real data of the target parameter of the calibrated target position, the node and other non-calibrated nodes connected to the node are recalculated by using formulas 1-1 and 1-2, the measurement data similarity between the two nodes is determined, and the calibration anchor point device is determined again according to the updated measurement data similarity.
In the measurement data calibration process of this embodiment, calibration may be performed between calibration anchor devices. That is, calibration is performed between calibration anchor devices using the target parameter measurement device association graph.
With continued reference to the illustration of fig. 4, in the implementation, each calibration anchor device of the device model i with the front measurement data similarity ranking is subjected to breadth-first search for M steps, where each step calibrates another calibration anchor device encountered during the search. For example, for the node 1 and the node 2, if the node 1 and the node 2 are both calibration anchor devices, an equation set is constructed according to the measured data measured by the node 1 and the node 2 at the target position, so as to solve the measured data calibration parameters in the measured data calibration function. It should be understood that in the implementation, if the difference between the number of target positions and the number and value of the calibration parameters of the measurement data calibration parameters of the first device and the measurement data calibration parameters of the second device cannot be satisfied is 1, no calibration is performed.
In this embodiment, the method further includes: searching an uncalibrated device with an edge between the uncalibrated device and the calibrated device in the target parameter measurement device association diagram; the obtaining measurement data calibration parameters of an uncalibrated device according to the measurement data calibration parameter values of the calibrated device and the measurement data calibration function comprises the following steps: and obtaining the measurement data calibration parameters of the uncalibrated device with edges between the calibrated device according to the measurement data calibration parameter values of the calibrated device and the measurement data calibration function.
In the specific implementation, after calibration of the calibration anchor point equipment in the target parameter measurement equipment association diagram is completed, breadth-first search can be performed outwards from all the calibration anchor points in the diagram. And (3) performing breadth-first search for M steps outwards by each calibration anchor point device, and calibrating nodes to be calibrated (un-calibrated devices) encountered during search in each step, so as to perform node calibration until all nodes in the map are calibrated. For example, in the map shown in fig. 4, the node b is calibrated by the node a, and the node a has completed the calibration, and the real data corresponding to the measurement data of the node b (uncalibrated device) is provided by the measurement data calibration parameter value after the calibration of the node a (calibrated device) without taking noise into consideration.
In this embodiment, the method further includes: after obtaining the real data of the target parameters of the plurality of positions, at least one data of a distribution map, a business portrait feature, a distribution address portrait feature and a distribution flow portrait feature for distribution resources is constructed or updated according to the real data of the target parameters of the plurality of positions. For example, a delivery map used by takeaway delivery person a, delivery address No. 1 shop (X 1 ) Image characteristics of the image, etc. Of course, according to the obtained real data of the target parameters, the height data of the distribution resources are obtained through the corresponding relation between the air pressure and the altitude, so that the data enrichment of the distribution map is realized.
If the target parameter includes an air pressure parameter, the constructing or updating at least one of a distribution map, a business portrait feature, a distribution address portrait feature, and a distribution flow portrait feature for use by the distribution resource according to the real data of the target parameters of the plurality of positions includes: acquiring height data of the plurality of positions according to the real data of the air pressures of the plurality of positions; and constructing or updating at least one data of a distribution map, a business portrait feature, a distribution address portrait feature and a distribution flow portrait feature for distribution resources according to the height data of the plurality of positions.
In this embodiment, the method further includes: and transmitting the measured data calibration parameter value of the calibrated equipment to the calibrated equipment so that the calibrated equipment calibrates the measured data obtained by the subsequent measurement target parameter of the calibrated equipment. For example, the server processes the obtained measurement data corresponding to the air pressure sensor 1 of the takeaway dispenser A to calibrate the parameter value m a 、n a 、o a The air pressure sensor 1 is transmitted to the user side through network communication, so that the air pressure sensor 1 at the user side directly calibrates the parameter value m according to the measured data a 、n a 、o a Calibrating measurement data obtained by measuring target parameters subsequently; in this caseThe measurement data calibration process is set at the user end, so that the data transmission of network communication can be reduced, the data processing efficiency is improved, and the measurement data reported to the server by the user end can be directly used as real data corresponding to the measurement target parameters at the target position.
The obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: and respectively obtaining the measurement data calibration parameter value of the first equipment, the measurement data calibration parameter value of the second equipment and the real data of the target parameter of the target position according to the first measurement data, the second measurement data and the measurement data calibration function. For example, based on the first measurement data P a1 ，P a2 ，P a3 Second measurement data P b1 ，P b2 ，P b3 Calibration function for measurement data Obtaining measurement data calibration parameter values m of the air pressure sensor 1, respectively a 、n a 、o a Measurement data calibration parameter value m of air pressure sensor 2 b 、n b 、o b Shop number 1 of target location (X) 1 ) Measured target parameter P true1 Corresponding real data P' true1 。
The method further comprises the steps of: obtaining current position data of any one device, and if the current position data of any one device indicates that the any one device is currently located at the target position, providing real data of target parameters of the target position for the any one device, so that when the any one device displays the data of the target parameters of the target position, the measurement data obtained by measuring the target parameters of the any one device at the target position and the real data of the target parameters of the target position are displayed.
In specific implementation, the above process is a process of performing data display after the calibration processing of the measurement data is completed. For example, the target parameter P is measured at the target position 1 after the air pressure sensor 1 is acquired true1 The obtained measurement data P a1 True data P' true1 In the case of (2), since the server has already known the actual geographical position of the target position 1, when the server acquires the current position data of any one of the air pressure sensors X, if the current position data of the air pressure sensor X matches the position data of the target position 1, the server will measure the data P a1 True data P' true1 Is provided to and demonstrated by the air pressure sensor X. In the data display process, the server judges according to the target position and the current position data to obtain a matching result, and then the server can send the real data of the target parameters to the air pressure sensor X. Through the process, the multiparty display of the real data of the target parameters can be realized.
Or, providing the real data of the target parameter of the target position to the any one device, so that the any one device can display the measurement data obtained by measuring the target parameter at the target position and the real data of the target parameter of the target position when detecting that the any one device is positioned at the target position and the data of the target parameter of the target position needs to be displayed.
In particular, the above procedure may be another way of data presentation, or the server may pre-store the measurement data P of the target position 1 a1 True data P' true1 To any one of the devices, such as the air pressure sensor X. When the air pressure sensor X detects itself to be located at the target position 1 by GPS, and it is necessary to display the above measurement data P a1 True data P' true1 In this case, the air pressure sensor X generates the measurement data P a1 True data P' true1 And displaying.
By the above method, the target position is measuredMeasurement data P obtained for a target parameter a1 The server is based on the measurement data P a1 True data P 'obtained by calibration process' true1 Are all displayed.
In the present embodiment, there are also the following cases: the calibrated equipment and the uncalibrated equipment are equipment for using the same distribution resource; the method is applied to the target equipment used by the same distribution resource; that is, different devices used by the same distribution resource can be calibrated with each other. For example, the smart phone used by takeaway dispenser a is a calibrated device and the wearable helmet used by takeaway dispenser a is an uncalibrated device.
In this case, the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device, respectively, includes: obtaining measurement data obtained by measuring target parameters at a target position by the first device and transmitted by the first device, and obtaining measurement data obtained by measuring the target parameters at the target position by the second device and transmitted by the second device;
The obtaining a measurement data calibration function includes: and obtaining the measurement data calibration function provided by the server, or obtaining the measurement data calibration function which is preconfigured. Wherein the same device for distributing resource usage comprises at least one of the following devices: the mobile communication equipment is used by the same distribution resource; the helmet equipment is used for the same distribution resource; the wearable equipment is used by the same distribution resource; the distribution box is used for the same distribution resource; the same delivery resource uses the vehicles.
The method further comprises the steps of: after obtaining the measurement data calibration parameters of at least one device used by the same distribution resource, sending the measurement data calibration parameters of the at least one device used by the same distribution resource to a server; or after obtaining the measurement data calibration parameters of any one of the devices used by the same distribution resource, sending the measurement data calibration parameters of any one of the devices used by the same distribution resource to any one of the devicesAn apparatus. For example, the air pressure sensor 1 in a smart phone used by the takeaway delivery person a obtains the measurement data calibration parameter m a 、n a 、o a Then, calibrating the measured data to the parameter m a 、n a 、o a Sending the message to a server; alternatively, the measurement data is calibrated to a parameter m a 、n a 、o a To other devices used by takeaway distribution person a, such as a wearable helmet.
The obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: according to the first measurement data, the second measurement data and the measurement data calibration function, real data of the measurement data calibration parameter value of the first device, the measurement data calibration parameter value of the second device and the target parameter of the target position are respectively obtained;
the method further comprises the steps of: and sending the real data of the target parameters of the target position to a server, or sending the real data of the target parameters of the target position to at least one device used by the same distribution resource. In particular, the above calibration process yields the true data P' true1 The information can be sent to a server of a service end or any device used by takeout distribution personnel A. The above-mentioned real data P' true1 The display is performed on one side of the takeaway delivery personnel A so as to calculate the altitude of the position where the rider is located, and further provide accurate position service for the rider.
In this embodiment, the target device used by the same delivery resource runs a delivery service terminal application; the calibrating the measurement data obtained by the subsequent measurement target parameters of the calibrated device according to the measurement data calibration parameter values of the calibrated device comprises the following steps: and calibrating the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment by using the calibration parameter value of the calibration equipment according to the measurement data of the calibrated equipment by the distribution service terminal.
Or, the obtaining the measurement data calibration parameter value of the uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function comprises: and the distribution service terminal obtains the measurement data calibration parameter value of the uncalibrated equipment by applying the measurement data calibration parameter value according to the calibrated equipment and the measurement data calibration function.
In specific implementation, the distribution service terminal application comprises a rider distribution application, and the measurement data calibration processing process is arranged on the distribution service terminal application side, so that data transmission of network communication can be reduced, and data processing efficiency is improved.
Wherein the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: according to the first measurement data, the second measurement data and the measurement data calibration function, real data of the measurement data calibration parameter value of the first device, the measurement data calibration parameter value of the second device and the target parameter of the target position are respectively obtained;
the method further comprises the steps of: and applying real data showing the target parameters of the target position by the distribution service terminal.
And when the real data of the target parameters of the target position are displayed, the distribution service terminal application also displays the measured data obtained by measuring the target parameters at the target position by at least one device used by the same distribution resource.
By the measurement data calibration method, calibration of measurement data in the target parameter measurement equipment association diagram is completed without manual intervention, error propagation can be considered in the calibration process, and error propagation can be reduced by relying on a multi-stage calibration mode of the calibration anchor point equipment; further, through the calibration processing, the measurement data obtained according to the subsequent measurement target parameters of the calibrated equipment and the measurement data calibration parameter values of the calibrated equipment are input into the measurement data calibration function, and the obtained real data corresponding to the measurement data obtained according to the subsequent measurement target parameters of the calibrated equipment has high data accuracy and good reliability.
The foregoing provides a method embodiment of calibrating measurement data, and correspondingly, the embodiment of the present application also provides a device for calibrating measurement data, and since the device embodiment is basically similar to the method embodiment, the description of the device embodiment is only illustrative, and the details and implementation effects of the related technical features should be referred to the corresponding description of the method embodiment provided above.
Referring to fig. 6 for understanding the embodiment, fig. 6 is a schematic structural diagram of a measurement data calibration device according to the present embodiment, and as shown in fig. 6, a measurement data calibration device 600 according to the present embodiment includes:
a data acquisition unit 601 configured to obtain measurement data obtained by measuring a target parameter at a target position by a first device and a second device, respectively, using the measurement data obtained by measuring the target parameter at the target position by the first device as first measurement data, and using the measurement data obtained by measuring the target parameter at the target position by the second device as second measurement data;
a function obtaining unit 602 configured to obtain a measurement data calibration function, where the measurement data calibration function is used to represent a functional relationship between measurement data obtained by measuring a target parameter at any one location by a device and real data of the target parameter at the any one location, and the measurement data calibration function includes measurement data calibration parameters of the device;
A first processing unit 603 configured to obtain measurement data calibration parameter values of the first device and measurement data calibration parameter values of the second device, respectively, based on the first measurement data, the second measurement data and the measurement data calibration function, and to take the first device and the second device, for which measurement data calibration parameter values have been obtained, as calibrated devices;
a calibration processing unit 604 configured to calibrate measurement data obtained by subsequently measuring a target parameter of the calibrated device according to the measurement data calibration parameter value of the calibrated device; or obtaining the measurement data calibration parameter value of an uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function, wherein the uncalibrated device is an uncalibrated device which measures the target parameter of the same position with the calibrated device.
In the foregoing embodiments, various methods and apparatuses corresponding to the methods are provided, and in addition, embodiments of the present application further provide embodiments of electronic devices corresponding to the foregoing method embodiments and apparatus embodiments, and since the embodiments of electronic devices are substantially similar to the method embodiments, the description of the embodiments of electronic devices is relatively simple, and details of relevant technical features and implementation effects may be found in the corresponding descriptions of the foregoing method embodiments, which are provided above, and the following descriptions of the embodiments of electronic devices are merely illustrative. The electronic device embodiment is as follows:
Please understand the above-mentioned electronic device with reference to fig. 7, fig. 7 is a schematic diagram of the electronic device. The electronic device provided in this embodiment includes: a processor 701 and a memory 702, a communication bus 703 and a communication interface 704. The processor 701 is configured to execute the one or more computer instructions to implement the steps of the method embodiments described above. The memory 702 is used to store one or more computer instructions for data processing. The communication bus 703 is used for connecting the processor 701 and the memory 702 mounted thereon. The communication interface 704 is configured to provide a connection interface for the processor 701 and the memory 702.
In the above embodiments, a plurality of methods and apparatuses corresponding to the methods are provided, and in addition, the embodiments of the present application further provide a computer readable storage medium for implementing the above methods. The embodiments of the computer readable storage medium provided by the present application are described more simply, and reference should be made to the corresponding descriptions of the above-described method embodiments, which are merely illustrative.
The computer readable storage medium provided in this embodiment stores computer instructions that, when executed by the processor, implement the steps shown in the foregoing method embodiments, which are not described herein.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
1. Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer readable media, as defined herein, does not include non-transitory computer readable media (transmission media), such as modulated data signals and carrier waves.
2. It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
While the application has been described in terms of preferred embodiments, it is not intended to be limiting, but rather, it will be apparent to those skilled in the art that various changes and modifications can be made herein without departing from the spirit and scope of the application as defined by the appended claims.
It should be noted that, the user information (including but not limited to user equipment information, user personal information, etc.) and the data (including but not limited to data for analysis, stored data, presented data, etc.) related to the present application are information and data authorized by the user or fully authorized by each party, and the collection, use and processing of the related data need to comply with the related laws and regulations and standards of the related country and region, and provide corresponding operation entries for the user to select authorization or rejection.

Claims (10)

1. A method of calibrating measurement data, comprising:
respectively obtaining measurement data obtained by measuring target parameters at a target position by first equipment and second equipment, taking the measurement data obtained by measuring the target parameters at the target position by the first equipment as first measurement data, and taking the measurement data obtained by measuring the target parameters at the target position by the second equipment as second measurement data;
obtaining a measurement data calibration function, wherein the measurement data calibration function is used for representing a functional relation between measurement data obtained by measuring a target parameter at any position of equipment and real data of the target parameter at any position, and the measurement data calibration function comprises the measurement data calibration parameter of the equipment;
according to the first measurement data, the second measurement data and the measurement data calibration function, respectively obtaining a measurement data calibration parameter value of the first device and a measurement data calibration parameter value of the second device, and taking the device with the obtained measurement data calibration parameter value as a calibrated device;
calibrating measurement data obtained by measuring target parameters of the calibrated equipment according to the measurement data calibration parameter values of the calibrated equipment; or obtaining the measurement data calibration parameter value of an uncalibrated device according to the measurement data calibration parameter value of the calibrated device and the measurement data calibration function, wherein the uncalibrated device is an uncalibrated device which measures the target parameter of the same position with the calibrated device.
2. The method of calibrating measurement data according to claim 1, further comprising:
obtaining a plurality of device pairs, both devices in each of the plurality of device pairs measuring a target parameter at the same location;
obtaining a measured data similarity between devices in each of the plurality of device pairs;
determining the equipment in the equipment pair with the measured data similarity meeting the preset similarity condition as calibration anchor point equipment;
the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device respectively includes: and if the first equipment and the second equipment are calibration anchor point equipment, respectively obtaining measurement data obtained by measuring target parameters at a target position by the first equipment and the second equipment.
3. The method of calibrating measurement data according to claim 2, wherein the obtaining a plurality of device pairs comprises:
obtaining any two devices located at the same position in the same time period;
and if the target parameters are measured by any two devices at the same position, constructing the any two devices into a device pair.
4. The method of calibrating measurement data according to claim 2, further comprising:
Obtaining measurement data obtained by measuring the target parameter at least one position in at least one time period by two devices in each device pair;
obtaining a measured data distance measurement value between two devices in each device pair according to measured data obtained by measuring the target parameter at least one position in at least one time period by the two devices in each device pair;
and obtaining the similarity of the measured data between the devices in each device pair according to the measured data distance measurement value between the two devices in each device pair.
5. The method of calibrating measurement data according to claim 2, further comprising: taking the equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value as a node in the graph, constructing an edge in the graph between two pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value, taking the measured data similarity between the pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value as the weight of the edge of the two pieces of equipment in the equipment pair with the measured data similarity exceeding the composition similarity threshold value, and constructing a target parameter measurement equipment association graph;
The determining the device in the pair of devices with the measured data similarity meeting the preset similarity condition as the calibration anchor point device comprises the following steps:
searching equipment pairs with similarity of measurement data meeting a preset similarity condition in the association diagram of the construction target parameter measurement equipment;
and determining the equipment in the equipment pair, the similarity of which meets the preset similarity condition, from the measurement data found in the construction target parameter measurement equipment association diagram as calibration anchor point equipment.
6. The method according to claim 1, wherein the obtaining measurement data obtained by measuring the target parameter at the target position by the first device and the second device, respectively, includes: respectively obtaining measurement data obtained by measuring target parameters at a plurality of target positions by first equipment and second equipment, wherein the number of the first measurement data is a plurality of the second measurement data;
the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function respectively includes: and respectively obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data and the measurement data calibration function.
7. The method according to claim 1, wherein the obtaining the measurement data calibration parameter value of the first device and the measurement data calibration parameter value of the second device according to the first measurement data, the second measurement data, and the measurement data calibration function, respectively, includes:
respectively inputting the first measurement data and the second measurement data into the measurement data calibration function to obtain an equation set, wherein in the equation set, the measurement data calibration parameters of the first equipment and the measurement data calibration parameters of the second equipment are parameters to be solved;
and solving the measurement data calibration parameter values of the first device and the measurement data calibration parameter values of the second device according to the equation set.
8. The method according to claim 1, wherein the calibrating the measurement data obtained by measuring the target parameter by the calibrated device based on the measurement data calibration parameter value of the calibrated device comprises: and inputting the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment and the measurement data calibration parameter values of the calibrated equipment into the measurement data calibration function to obtain real data corresponding to the measurement data obtained by the subsequent measurement target parameters of the calibrated equipment.
9. The method of calibrating measurement data according to claim 1, wherein said obtaining measurement data calibration parameter values for an uncalibrated device from measurement data calibration parameter values for the calibrated device and the measurement data calibration function comprises:
obtaining measurement data obtained by the calibrated device for measuring the target parameter at the same position as calibrated device measurement data;
obtaining measurement data obtained by measuring the target parameter at the same position by the uncalibrated equipment, and taking the measurement data as uncalibrated equipment measurement data;
respectively inputting the measurement data of the calibrated equipment, the measurement data calibration parameter value of the calibrated equipment and the measurement data of the un-calibrated equipment into the measurement data calibration function to obtain an equation set, wherein in the equation set, the measurement data calibration parameter of the un-calibrated equipment is a parameter to be solved;
and solving the measurement data calibration parameter values of the uncalibrated equipment according to the equation set.
10. The method of calibrating measurement data according to claim 1, wherein said obtaining measurement data calibration parameter values for an uncalibrated device from measurement data calibration parameter values for the calibrated device and the measurement data calibration function comprises: based on the measurement data calibration parameter values of the plurality of calibrated devices and the measurement data calibration function, a measurement data calibration parameter value of an uncalibrated device is obtained.
CN202310721938.1A 2023-06-16 2023-06-16 Measurement data calibration method and device and electronic equipment Pending CN116735075A (en)

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