CN111351579A - Temperature processing method, temperature processing device, temperature processing system, electronic equipment and storage medium - Google Patents
Temperature processing method, temperature processing device, temperature processing system, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN111351579A CN111351579A CN202010151435.1A CN202010151435A CN111351579A CN 111351579 A CN111351579 A CN 111351579A CN 202010151435 A CN202010151435 A CN 202010151435A CN 111351579 A CN111351579 A CN 111351579A
- Authority
- CN
- China
- Prior art keywords
- temperature
- target object
- error
- acquiring
- obtaining
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012545 processing Methods 0.000 title claims abstract description 33
- 238000003860 storage Methods 0.000 title claims abstract description 24
- 238000003672 processing method Methods 0.000 title abstract description 18
- 238000009529 body temperature measurement Methods 0.000 claims abstract description 102
- 238000000034 method Methods 0.000 claims abstract description 66
- 238000005259 measurement Methods 0.000 claims description 58
- 230000015654 memory Effects 0.000 claims description 33
- 238000009826 distribution Methods 0.000 claims description 29
- 238000001514 detection method Methods 0.000 claims description 24
- 238000004590 computer program Methods 0.000 claims description 11
- 230000008569 process Effects 0.000 abstract description 24
- 230000002829 reductive effect Effects 0.000 abstract description 4
- 230000006870 function Effects 0.000 description 19
- 238000010586 diagram Methods 0.000 description 16
- 238000004891 communication Methods 0.000 description 10
- 230000008859 change Effects 0.000 description 9
- 238000005516 engineering process Methods 0.000 description 6
- 230000003287 optical effect Effects 0.000 description 5
- 238000013528 artificial neural network Methods 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 4
- 230000005291 magnetic effect Effects 0.000 description 4
- 230000005855 radiation Effects 0.000 description 4
- 230000005236 sound signal Effects 0.000 description 4
- 230000036760 body temperature Effects 0.000 description 3
- 230000002159 abnormal effect Effects 0.000 description 2
- 230000001133 acceleration Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 230000001902 propagating effect Effects 0.000 description 2
- 230000003068 static effect Effects 0.000 description 2
- KLDZYURQCUYZBL-UHFFFAOYSA-N 2-[3-[(2-hydroxyphenyl)methylideneamino]propyliminomethyl]phenol Chemical compound OC1=CC=CC=C1C=NCCCN=CC1=CC=CC=C1O KLDZYURQCUYZBL-UHFFFAOYSA-N 0.000 description 1
- 241000283690 Bos taurus Species 0.000 description 1
- RYGMFSIKBFXOCR-UHFFFAOYSA-N Copper Chemical compound [Cu] RYGMFSIKBFXOCR-UHFFFAOYSA-N 0.000 description 1
- 241001465754 Metazoa Species 0.000 description 1
- 241001494479 Pecora Species 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000009395 breeding Methods 0.000 description 1
- 230000001488 breeding effect Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 229910052802 copper Inorganic materials 0.000 description 1
- 239000010949 copper Substances 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 201000001098 delayed sleep phase syndrome Diseases 0.000 description 1
- 208000033921 delayed sleep phase type circadian rhythm sleep disease Diseases 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 239000000284 extract Substances 0.000 description 1
- 210000001061 forehead Anatomy 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 244000144972 livestock Species 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012806 monitoring device Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 244000144977 poultry Species 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 238000004861 thermometry Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/0022—Radiation pyrometry, e.g. infrared or optical thermometry for sensing the radiation of moving bodies
- G01J5/0025—Living bodies
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
- G01J5/06—Arrangements for eliminating effects of disturbing radiation; Arrangements for compensating changes in sensitivity
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/02—Constructional details
- G01J5/06—Arrangements for eliminating effects of disturbing radiation; Arrangements for compensating changes in sensitivity
- G01J5/068—Arrangements for eliminating effects of disturbing radiation; Arrangements for compensating changes in sensitivity by controlling parameters other than temperature
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/48—Thermography; Techniques using wholly visual means
- G01J5/485—Temperature profile
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J5/80—Calibration
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01J—MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT, POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRARED, VISIBLE OR ULTRAVIOLET LIGHT; COLORIMETRY; RADIATION PYROMETRY
- G01J5/00—Radiation pyrometry, e.g. infrared or optical thermometry
- G01J2005/0077—Imaging
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Radiation Pyrometers (AREA)
Abstract
The disclosure relates to a temperature processing method, a temperature processing device, a temperature processing system, an electronic device and a storage medium. The temperature measuring method comprises the following steps: acquiring a first temperature of a target object; acquiring a temperature error of the target object; and adjusting the first temperature according to the temperature error to obtain a second temperature of the target object. Through the process, temperature errors and drifts caused by external factors can be reduced, and the accuracy of the finally obtained temperature measurement result is improved.
Description
Technical Field
The present disclosure relates to the field of security, and in particular, to a temperature processing method, apparatus, system, electronic device, and storage medium.
Background
The infrared temperature measurement product can determine the temperature of an object by the size of infrared energy emitted by the object, theoretically, any object higher than absolute zero can emit infrared radiation energy, but the infrared ray emitting capability of different objects is different. Under the influence of various external factors, the temperature measurement is easy to have large errors and temperature drift.
Therefore, how to effectively improve the temperature measurement precision of the infrared temperature measurement product becomes a problem to be solved urgently.
Disclosure of Invention
The present disclosure presents a temperature processing scheme.
According to an aspect of the present disclosure, there is provided a temperature treatment method including:
acquiring a first temperature of a target object; acquiring a temperature error of the target object; and adjusting the first temperature according to the temperature error to obtain a second temperature of the target object.
In a possible implementation manner, the acquiring a temperature error of the target object includes: acquiring a first error of the target object according to the measured distance of the target object; and/or acquiring a second error of the target object according to the measurement environment of the target object; and obtaining the temperature error according to the obtained error of the target object.
In a possible implementation manner, the obtaining a first error of the target object according to the measured distance of the target object includes: acquiring the distance between the target object and the temperature measuring equipment; and obtaining a first error of the target object by combining a preset relation according to the distance, wherein the preset relation comprises a corresponding relation between the measured distance and the first error.
In one possible implementation manner, the obtaining the distance between the target object and the temperature measurement device includes: acquiring an image of a target object; and according to the image, performing distance detection on the target object to obtain a distance detection result which is used as the distance between the target object and the temperature measuring equipment.
In a possible implementation manner, the obtaining a second error of the target object according to the measurement environment of the target object includes: acquiring a reference temperature corresponding to the target object; acquiring the measured temperature under the measuring environment according to the second temperature of at least part of standard objects, wherein the standard objects comprise objects with the temperature measuring time before the target object and the corresponding second temperature belonging to a preset temperature range; and obtaining a second error of the target object according to the deviation between the reference temperature and the measured temperature.
In one possible implementation manner, the obtaining a reference temperature corresponding to the target object includes: acquiring a target category to which a target object belongs, wherein the target category comprises a category determined according to at least one attribute of the target object; and obtaining the reference temperature of the target object according to the temperature distribution state corresponding to the target category.
In a possible implementation manner, the obtaining a measured temperature in the measurement environment according to a second temperature of at least a part of the standard object includes: and determining to obtain the measured temperature according to the second temperature of part of the standard objects or according to the second temperature of all the standard objects according to the magnitude relation between the number of the standard objects and the first number.
In a possible implementation manner, the determining, according to a magnitude relationship between the number of the standard objects and the first number, whether to obtain the measured temperature according to the second temperature of a part of the standard objects or according to the second temperature of all the standard objects includes: taking an average of second temperatures of a second number of the standard objects closest to the target object as the measurement temperature in a case where the number of the standard objects is not less than the first number, wherein the second number is less than or equal to the first number; alternatively, when the number of the standard objects is smaller than the first number, an average value of the second temperatures of all the standard objects is used as the measurement temperature.
In one possible implementation, the method further includes: and updating the measured temperature according to the second temperature of the target object under the condition that the second temperature of the target object belongs to a preset temperature range.
According to an aspect of the present disclosure, there is provided a temperature processing apparatus including:
the first acquisition module is used for acquiring a first temperature of a target object; the second acquisition module is used for acquiring the temperature error of the target object; and the adjusting module is used for adjusting the first temperature according to the temperature error to obtain a second temperature of the target object.
In a possible implementation manner, the second obtaining module is configured to: acquiring a first error of the target object according to the measured distance of the target object; and/or acquiring a second error of the target object according to the measurement environment of the target object; and obtaining the temperature error according to the obtained error of the target object.
In a possible implementation manner, the second obtaining module is further configured to: acquiring the distance between the target object and the temperature measuring equipment; and obtaining a first error of the target object by combining a preset relation according to the distance, wherein the preset relation comprises a corresponding relation between the measured distance and the first error.
In a possible implementation manner, the second obtaining module is further configured to: acquiring an image of a target object; and according to the image, performing distance detection on the target object to obtain a distance detection result which is used as the distance between the target object and the temperature measuring equipment.
In a possible implementation manner, the second obtaining module is further configured to: acquiring a reference temperature corresponding to the target object; acquiring the measured temperature under the measuring environment according to the second temperature of at least part of standard objects, wherein the standard objects comprise objects with the temperature measuring time before the target object and the corresponding second temperature belonging to a preset temperature range; and obtaining a second error of the target object according to the deviation between the reference temperature and the measured temperature.
In a possible implementation manner, the second obtaining module is further configured to: acquiring a target category to which a target object belongs, wherein the target category comprises a category determined according to at least one attribute of the target object; and obtaining the reference temperature of the target object according to the temperature distribution state corresponding to the target category.
In a possible implementation manner, the second obtaining module is further configured to: and determining to obtain the measured temperature according to the second temperature of part of the standard objects or according to the second temperature of all the standard objects according to the magnitude relation between the number of the standard objects and the first number.
In a possible implementation manner, the second obtaining module is further configured to: taking an average of second temperatures of a second number of the standard objects closest to the target object as the measurement temperature in a case where the number of the standard objects is not less than the first number, wherein the second number is less than or equal to the first number; alternatively, when the number of the standard objects is smaller than the first number, an average value of the second temperatures of all the standard objects is used as the measurement temperature.
In one possible implementation manner, the apparatus further includes an update module, and the update module is configured to: and updating the measured temperature according to the second temperature of the target object under the condition that the second temperature of the target object belongs to a preset temperature range.
According to an aspect of the present disclosure, there is provided an electronic device including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the instructions stored by the memory to perform the temperature processing method described above.
According to an aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon computer program instructions which, when executed by a processor, implement the above-described temperature processing method.
In the embodiment of the disclosure, the first temperature of the target object is obtained, and the temperature error of the target object is obtained, so that the first temperature is adjusted according to the temperature error to obtain the second temperature of the target object.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure. Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flow chart of a temperature processing method according to an embodiment of the present disclosure.
FIG. 2 shows a block diagram of a temperature processing device according to an embodiment of the present disclosure.
Fig. 3 shows a block diagram of an electronic device in accordance with an embodiment of the disclosure.
Fig. 4 shows a block diagram of an electronic device in accordance with an embodiment of the disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
The term "and/or" herein is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, C, and may mean including any one or more elements selected from the group consisting of A, B and C.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 shows a flowchart of a temperature processing method according to an embodiment of the present disclosure, which may be applied to a temperature measurement device, and in one possible implementation, the temperature measurement device may be a terminal device or other processing device. The terminal device may be a User Equipment (UE), a mobile device, a User terminal, a cellular phone, a cordless phone, a Personal Digital Assistant (PDA), a handheld device, a computing device, a vehicle-mounted device, a wearable device, or the like. In one possible implementation, the temperature measuring device may be a thermometer, a handheld temperature measuring device, or a unified temperature measuring and monitoring device in a large-scale location, or the like.
In some possible implementations, the temperature processing method may also be implemented by the processor calling computer readable instructions stored in the memory.
In a possible implementation manner, the temperature processing method may be applied to an infrared temperature measurement device, such as an infrared thermometer or an infrared temperature measurement monitor, and in one example, the temperature measurement method may also be applied to a device having an infrared temperature measurement function, that is, if one device realizes comprehensive temperature measurement by using multiple temperature measurement principles, and if one temperature measurement function is realized by using infrared sensing, the temperature measurement device may also apply the temperature measurement method provided by the embodiment of the present disclosure. In one example, the temperature processing method may be applied to a temperature measurement apparatus having an image acquisition function.
As shown in fig. 1, in one possible implementation, the temperature processing method may include:
in step S11, a first temperature of the target object is acquired.
In step S12, the temperature error of the target object is acquired.
And step S13, adjusting the first temperature according to the temperature error to obtain a second temperature of the target object.
The target object may be any object having a temperature measurement requirement, and in a possible implementation, the target object may be a measurement object that can acquire temperature by using an infrared temperature measurement principle, such as a human being, poultry, livestock, and other creatures. The number of the target objects is not limited in the embodiment of the present disclosure, and in a possible implementation manner, the number of the target objects may be one, that is, only one target object may be subjected to temperature measurement, or a plurality of target objects may be subjected to temperature measurement sequentially in a certain order; in a possible implementation manner, the number of the target objects may also be multiple, that is, the temperature measurement may be performed on multiple target objects at the same time, and the specific implementation manner may be flexibly determined according to the temperature measurement requirement or the actual situation of the temperature measurement device. The actual conditions of the temperature measuring device may include, but are not limited to, the performance of the device, the resource occupancy, and the like.
The first temperature is the temperature of the target object obtained by the measuring means, and the second temperature is a corrected temperature obtained by adjusting based on the measured first temperature, that is, in the actual application process, considering that there may be inaccuracy in the first temperature, the second temperature may be used as the actual temperature of the target object.
In one possible implementation, the first temperature may be a temperature obtained according to an infrared radiation intensity of the target object, and in one possible implementation, the first temperature may be a temperature measured by an infrared thermometry principle. Specifically, how to measure the first temperature of the target object by using the infrared temperature measurement principle may be different between the specific temperature measurement process and the temperature measurement mode of different infrared temperature measurement devices, so the implementation mode of step S11 may be flexibly determined according to the actual situation. In one possible implementation manner, the implementation manner of step S11 may be: the method comprises the steps of obtaining a thermal graph of infrared radiation intensity of a scene where a target object is located, converting the obtained thermal graph into a temperature chart in centigrade according to a mapping relation between the thermal graph and the temperature in centigrade, and then reading the temperature of an area where the target object is located from the thermal graph, so that the read temperature is used as a first temperature. Of course, after the area where the target object is located is determined, one or more specific areas of the area where the target object is located may be further determined, so that the first temperature is obtained based on the temperatures of the one or more specific areas. In the case where the target object is a human figure, the specific region may include, but is not limited to, a forehead region of the target object, and a region having a high temperature matching degree with the target object may be generally determined as the specific region. The determination method and division of the specific area are not limited, and can be adjusted according to the actual temperature measurement requirement. Other acquisition modes can be flexibly expanded according to the actual situation of the temperature measuring equipment, and are not listed in detail here.
In a possible implementation manner, the temperature processing method provided in the embodiment of the present disclosure may also be considered to be applied to other temperature measurement manners except for infrared temperature measurement, such as temperature measurement and the like implemented by a temperature sensor, when the temperature processing method provided in the embodiment of the present disclosure implements temperature measurement by using other principles, the implementation manner of step S11 may be changed accordingly, such as obtaining the first temperature of the target object by the temperature sensor, and the like, and the following disclosed embodiments are described by taking obtaining the first temperature by infrared temperature measurement as an example, and other implementation manners may be flexibly extended by referring to the following disclosed embodiments, and are not described again.
In addition to the first temperature of the target object obtained through the step S11, the temperature error of the target object can be obtained through the step S12, and since there may be a series of external factors interfering during the temperature measurement, such as the infrared emissivity of the surface of the target object, the temperature of the measurement environment, the degree of attenuation of infrared rays in the air, the temperature measurement distance of the target object, and so on, the obtained first temperature may often be inaccurate, and therefore, the temperature error of the target object due to various external factors can be obtained during the temperature measurement. The implementation form of obtaining the temperature error can be flexibly changed according to different considered external factors, and the specific implementation mode can refer to each subsequent disclosed embodiment without being expanded.
It should be noted that, in the implementation process of steps S11 and S12, the order of implementation is not limited, that is, the first temperature of the target object may be obtained first and then the temperature error of the target object may be obtained, the temperature error of the target object may be obtained first and then the first temperature of the target object may be obtained, the first temperature and the temperature error may be obtained simultaneously in the temperature measurement process, and the selection is flexible according to the actual situation, and the implementation order is not limited in the embodiment of the present disclosure.
After the first temperature and the temperature error are obtained, the first temperature may be adjusted according to the temperature error through step S13 to achieve an effect of correcting the first temperature, so as to obtain the second temperature of the target object, and a specific correction manner may flexibly change according to the difference of the obtained temperature error, which may be referred to in the following disclosure embodiments, and is not expanded here.
In the embodiment of the disclosure, the first temperature of the target object is obtained, and the temperature error of the target object is obtained, so that the first temperature is corrected according to the temperature error to obtain the second temperature of the target object.
In one possible implementation, step S12 may include:
step S121, acquiring a first error of the target object according to the measured distance of the target object. And/or the presence of a gas in the gas,
step S122, acquiring a second error of the target object according to the measurement environment of the target object.
And step S123, obtaining a temperature error according to the obtained error of the target object.
Wherein the first error obtained from the measured distance of the target object may be a temperature drift value generated from the measured distance of the target object. The measured distance may be a distance between the target object and the temperature measuring device, and in the process of performing infrared temperature measurement on the target object, since the infrared radiation intensity may change with the change of the distance, the obtained temperature measurement results may also be different with the difference of the distance between the target object and the temperature measuring device. Therefore, in one possible implementation, a temperature measurement error resulting from a distance between the target object and the temperature measurement device may be taken as the first error.
The second error obtained from the measurement environment of the target object may be a temperature drift value generated from the measurement environment of the target object. Since the temperature measurement device performs temperature measurement on the target object, the temperature measurement device may be used as a measurement environment or a part of the measurement environment, or a measurement scene in which the target object is located may be used as a measurement environment or a part of the measurement environment. In the process of temperature measurement, a temperature measurement device that performs temperature measurement on a target object may generate a certain system error due to a structure of the device itself, and in addition, a scene where the target object is located may also have a certain influence on a temperature measurement result, resulting in an error. For example, in different seasons, in different places such as indoors and outdoors, the influence may be caused by different factors such as climate and place. Therefore, in one possible implementation, these temperature measurement errors due to the measurement environment of the target object may be unified as the second error.
After the first error and/or the second error of the target object are/is obtained, the temperature error may be obtained according to the obtained errors, in one possible implementation, the obtained first error and the obtained second error may be collectively used as the temperature error, in one possible implementation, only the first error may be obtained and the first error may be used as the temperature error, and in one possible implementation, only the second error may be obtained and the second error may be used as the temperature error.
It can be seen from the above disclosure that the temperature error of the target object can be determined only by the measurement distance or the measurement environment, or can be determined by both the measurement distance and the measurement environment, and can be flexibly selected according to the actual situation. In the case where the temperature error is determined by both the measurement distance and the measurement environment, the order of obtaining the temperature error determined according to the measurement distance and obtaining the temperature error determined according to the measurement environment is not limited in the embodiment of the present disclosure, that is, the temperature error determined by the measurement distance may be obtained first, and then the error determined by the measurement environment may be obtained; or the error determined by the measuring environment can be obtained first and then the error determined by the measuring distance can be obtained; the error determined by the measurement distance and the measurement environment can also be obtained at the same time, and flexible selection can be performed according to the actual situation.
The temperature error of the target object is obtained according to the measurement distance and/or the measurement environment of the target object, the measured first temperature can be comprehensively and flexibly corrected, and the accuracy of the temperature measurement result and the flexibility of the temperature measurement process are improved.
Specifically, how to obtain the first error of the target object according to the measured distance of the target object may be flexibly determined according to actual conditions. In one possible implementation, step S121 may include:
in step S1211, a distance between the target object and the temperature measuring device is acquired.
Step S1212, obtaining a temperature error of the target object according to the distance by combining a preset relationship, where the preset relationship is a corresponding relationship between the measured distance and the first error.
The acquisition mode of the distance between the target object and the temperature measuring equipment is not limited, and the distance can be flexibly determined according to the actual condition of the temperature measuring equipment. In one possible implementation, step S1211 may include:
in step S12111, an image of the target object is acquired.
In step S12112, distance detection is performed on the target object according to the image, and a distance detection result is obtained as the distance of the target object.
In the above disclosed embodiment, it has been proposed that the temperature processing method proposed in the embodiment of the present disclosure may be applied to a temperature measuring device with an image capturing function, and therefore, in a possible implementation manner, the temperature measuring device may detect a distance between the target object and the temperature measuring device through a current image of the target object captured, so as to obtain a current distance of the target object.
The acquisition mode of the image of the target object is not limited in the embodiment of the present disclosure, and may be flexibly selected according to the actual situation of the temperature measurement device. In one possible implementation, the process of acquiring the image of the target object may be: the temperature measuring equipment scans a scene where the target object is located to obtain a scanned image, detects the target object from the scanned image, and extracts a corresponding image of the target object as an image of the target object when the target object is detected. The implementation manner of detecting the target object in the scanned image is not limited in the embodiment of the present disclosure, and in one possible implementation manner, the implementation manner may be implemented by a neural network having a target object detection function.
After the image of the target object is acquired, the distance detection may be performed on the target object according to the image in step S12112 to obtain a distance detection result, an implementation manner of step S12112 is also not limited, any method that can implement the distance detection through the image may be used as the implementation manner of step S12112, and in a possible implementation manner, the distance detection process may also be implemented through a neural network having a distance detection function. In a possible implementation manner, the relative distance between the target object and the reference object may also be determined according to the position of the target object in the image and the position of a certain reference object in the image, and then the distance or the relative position relationship between the target object and the temperature measurement device may be indirectly obtained according to the distance or the position relationship between the reference object and the temperature measurement device. The reference object may be a fixed object in the image, such as a building, a large device, a wall, or the like, and the distance between the reference object and the temperature measurement device is not easy to change due to inconvenient movement, so that the distance between the target object and the temperature measurement device may be determined based on the objects.
By acquiring the image of the target object and performing distance detection on the target object according to the current image, the current distance of the target object is obtained, and by the process, the distances of a large number of target objects can be acquired simultaneously in an image recognition mode, so that batch distance detection of the target objects is realized, then the temperature measurement of the batch target objects can be realized conveniently, and the application range and the practicability of the temperature processing method are improved.
In a possible implementation manner, the distance of the target object may also be obtained in other manners, for example, a sensor or the like that can detect the distance between the target object and the temperature measurement device may be disposed on the temperature measurement device to obtain the distance of the target object.
After the current distance of the target object is obtained, the temperature error of the target object may be obtained by combining the preset relationship according to the distance of the target object through step S1212. It has been proposed in the above-mentioned embodiments that the preset relationship may be a corresponding relationship between the measured distance and the first error, and therefore, in a possible implementation manner, the current distance may be substituted into the preset relationship, and then the first error corresponding to the temperature measuring device at the current distance may be obtained.
The specific relationship mode or function of the preset relationship is not limited in the embodiment of the present disclosure, and can be flexibly set according to the actual situation. Since the preset relationship may change correspondingly with different hardware conditions of the temperature measurement device, in a possible implementation manner, the preset relationship of the temperature measurement device may be obtained in a calibration manner before the temperature measurement device leaves a factory or starts to be used. The calibration mode can also be flexibly set according to the actual situation, in a possible implementation mode, the same target object can be respectively subjected to temperature measurement under different measurement distances d, the difference between the temperature measurement result and the real temperature of the target object under each measurement distance is recorded as a temperature drift value delta t, and after a plurality of groups of (d, delta t) are recorded, the corresponding relation delta t between the measurement distance and the first error can be obtained according to the recorded data fitting, so that in the temperature processing process, the first error determined according to the distance can be obtained only by substituting the obtained distance into the corresponding relation.
In the above-described disclosed embodiment, the number of recorded (d, Δ t) groups may be flexibly set according to actual situations, and is not limited in the embodiment of the present disclosure. In a possible implementation manner, a certain distance of the temperature measurement device may be set as a reference point, and then the temperature measurement device moves within a certain range of the reference point at certain intervals, for example, moves once every 0.1 meter, moves once every 0.2 meter, and the like, and the interval of the movement may be flexibly determined according to the actual situation, which is not limited in the embodiment of the present disclosure, so that multiple sets of (d, Δ t) data may be recorded. In one example, a distance of 1.5 meters from the temperature measuring device may be set as a reference point, and then a plurality of movements may be performed along a line at intervals of 0.3 meters within a range of 0.5 meters to 3 meters from the reference point, thereby obtaining a plurality of sets of (d, Δ t) data.
The first error of the target object is obtained by obtaining the distance of the target object and combining the preset relation according to the distance, and through the process, the condition that the temperature measurement result is inaccurate due to the fact that the distance of the target object is far and near can be reduced, and the accuracy of the temperature measurement result is effectively improved.
Similarly, how to obtain the second error of the target object according to the measurement environment of the target object can also be flexibly determined according to the actual situation. In one possible implementation, step S122 may include:
in step S1221, a reference temperature corresponding to the target object is acquired.
Step S1222, obtaining a measured temperature in the measurement environment according to a second temperature of at least a portion of the standard object, wherein the standard object includes an object whose temperature measurement time is before the target object and the corresponding second temperature belongs to a preset temperature range.
And step S1223, obtaining a second error of the target object according to the deviation between the reference temperature and the measured temperature.
The standard object is an object whose temperature measurement time is before the target object and the corresponding second temperature is not more than the preset threshold, an open temperature measurement device can measure the temperature of a large number of target objects, the temperature of one or more target objects may have been measured before the current target object is measured, so as to obtain a plurality of corresponding second temperatures, and the second temperatures can effectively reflect the temperature distribution rule of the target object under the current measurement environment except for the partially abnormal second temperatures, so that the target object whose temperature is measured before the target object and whose measured second temperature is within the normal range (i.e. the preset temperature range) can be used as the standard object.
Specifically, the preset temperature range of whether the second temperature is normal is judged, and the specific value of the preset temperature range can be flexibly set according to the actual situation. In a possible implementation manner, in the case that the target object is a human, the preset temperature range of the second temperature may be set to be below 37.3 ℃, or set to be between 35 ℃ and 37.3 ℃, and the like, and the preset temperature range may be flexibly selected according to actual situations.
The reference temperature refers to the temperature of the target object under normal conditions of the target object, for example, in the case that the target object is a human figure, the reference temperature may be the normal body temperature of the human figure, and may be generally the average value of the temperature of the target object under normal conditions. The measured temperature may be an average of normal temperatures of the target object in the current measurement environment, and the measured temperature may be determined according to the second temperature of at least a portion of the standard object since the second temperature of the standard object belongs to the preset temperature range. Specifically, the determination method of the reference temperature and the measured temperature of the target object may be flexibly determined according to actual situations, and is not limited to the following disclosure embodiments.
In a possible implementation manner, in the case that the target object is a constant temperature creature whose temperature change is within a certain range, the temperature of the target object may follow a certain temperature distribution rule. Therefore, the reference temperature of the target object may be determined based on the temperature distribution rule of the target object. The following disclosure embodiments are all described by taking a target object as an example, and when the target object is of another type, the following disclosure embodiments can be extended.
In one possible implementation, the temperature of the target object may be considered to conform to a Gaussian distribution, in which case the mean of the Gaussian distribution may be consideredAs a reference temperature. Obtaining mean values of Gaussian distributionsThe method of (1) is not limited in the embodiment of the disclosure, and in a possible implementation manner, the mean value of the gaussian distribution may be obtained by collecting temperatures of a large number of target objects in a normal state and counting distribution conditions of the collected temperatures
In a possible implementation manner, the temperature distribution status of the target objects may also vary according to different categories due to different categories of target objects, for example, in the case that the target objects include people, the categories of the target objects may be divided according to at least one of attributes such as age and gender of the people or a combination of multiple attributes. For example, in the case where the target object is a person and the classification is based on the age and sex of the person, the classification of the target object may include the elderly, the young, the male and the female, and the temperature distribution state of different types of target objects may be different. In this case, the reference temperature of the target object may be further determined according to the category of the target object. Thus, in one possible implementation, step S1221 may include:
step S12211, a target category to which the target object belongs is obtained, where the target category includes a category determined according to at least one attribute of the target object.
Step S12212, obtaining a reference temperature of the target object according to the temperature distribution state corresponding to the target category.
The classification condition of the target object can be flexibly changed according to different target objects, so that the classification in the embodiment of the present disclosure is not limited, and the classification can be performed according to actual conditions. As described in the above-mentioned embodiments, when the target object is a person, it may be an old person, a child, a man or a woman, and so on, and thus, in one example, the target object may be classified into an old person, a young person and a minor person according to age, may be classified into a man and a woman according to gender, may be classified into a plurality of subdivided categories according to age and gender at the same time, and may be selected according to actual circumstances. In the classification, factors having an influence on the temperature of the target object may be considered, and specifically, the factors may include, but are not limited to, the above-mentioned attributes such as age and sex.
The implementation manner of step S12211 is also not limited, and in a possible implementation manner, since the above-mentioned disclosed embodiment is mentioned to be implemented by a temperature measurement device having an image acquisition function, a category may be further determined by performing a category detection according to an acquired image of a target object. The specific type detection method is not limited in the embodiments of the present disclosure, and in an example, the type detection may be performed on the target object through a neural network having a classification function. Of course, in the process of actually determining the category to which the target object belongs, the above-mentioned form of the neural network using the classification function may be included, but is not limited to, and the determination may be specifically performed in combination with the actual application scenario, the degree of subdivision of the category, and the like.
After the target category to which the target object belongs is obtained, the reference temperature of the target object can be obtained according to the temperature distribution state corresponding to the target category. Specifically, how to obtain the reference temperature according to the temperature distribution state can be flexibly determined according to the actual distribution condition of the temperature distribution state, and in a possible implementation manner, the distribution average value of the temperature distribution state can be used as the reference temperature. The obtaining manner of the temperature distribution state corresponding to the target category may refer to the obtaining manner of the temperature distribution state of the target object in the above disclosed embodiment, and only the collected object needs to be changed from the target object to the target object in the target category, which is not described herein again.
By obtaining the target category to which the target object belongs and obtaining the reference temperature according to the temperature distribution state corresponding to the target category, through the above process, a more accurate reference temperature can be obtained according to the category of the target object, so that the second error determined based on the reference temperature is more accurate, and the accuracy of temperature measurement is further improved.
The above-mentioned disclosed embodiment has proposed that the measured temperature may be an average value of normal temperatures of the target object in the current measurement environment, and therefore, the measured temperature may be obtained according to a plurality of second temperatures in a normal range previously acquired by the target object, and how to obtain the measured temperature may be flexibly set, and is not limited to the following disclosed embodiments. In one possible implementation, step S1222 may include:
and determining the second temperature of part of the standard objects or the second temperature of all the standard objects according to the size relation between the number of the standard objects and the first number, and obtaining the measured temperature.
For the definition of the standard object, reference may be made to the above-mentioned embodiments, which are not described herein again. The first amount may be a predetermined amount, and is not limited in the embodiments of the present disclosure. As can be seen from the above-mentioned disclosure, the measured temperature may be obtained according to the second temperature of the standard object, and in general, may be determined by the second temperatures of a plurality of standard objects, since the method proposed by the embodiment of the present disclosure may be applied in an environment with a large number of target objects, if the measured temperatures are obtained by storing the second temperatures of all the standard objects, a large storage space may be required, thereby resulting in an excessively high hardware requirement for the temperature measuring device. Thus, in one possible implementation, the measured temperature may be obtained from the second temperatures of the standard objects within the first number by setting a first number.
The second temperature according to part of standard objects or all the standard objects is determined according to the size relation between the standard objects and the first quantity to obtain the measured temperature, and the data volume and the calculated volume stored in the temperature measuring process can be effectively restrained and obtained, so that the hardware requirement on the temperature measuring equipment is reduced, and the feasibility and the practicability of temperature measurement are improved.
Specifically, how to obtain the measured temperature according to the magnitude relationship between the number of the standard objects and the first number may be flexibly determined according to actual conditions, and is not limited to the following disclosed embodiments. In one possible implementation, step S1222 may include:
in step S12221, in a case where the number of the standard objects is not less than the first number, an average value of second temperatures of a second number of the standard objects closest to the target object is taken as the measured temperature, where the second number is less than or equal to the first number. Or,
in step S12222, in the case where the number of the standard objects is smaller than the first number, the average value of the second temperatures of all the standard objects is taken as the measured temperature.
The second number may be another preset number value, and the size of the value is not limited in the embodiment of the present disclosure, as long as the value is not greater than the first number.
In one possible implementation, if a standard object does not exist before the target object and the temperature of the target object belongs to the preset temperature range, the second temperature of the target object may be set as an initial value of the measured temperature, and if the standard object exists before the target object, an average value of the second temperatures of all the standard objects before the target object may be used as the measured temperature.
In a possible implementation manner, only the second temperatures of the second number of standard objects may be saved, and an average value of the second temperatures of the second number of standard objects may be used as the ambient temperature, so that the requirement on the storage space may be reduced, and the acquisition speed of the ambient temperature may also be increased, thereby improving the efficiency and the accuracy of the temperature measurement process.
Specifically, in the process of selecting the second number of standard objects, which standard objects are selected can be flexibly selected according to actual situations, and the method is not limited to the following disclosure embodiments. In a possible implementation manner, since the measurement environment may change with the passage of time, in order to make the acquired environment temperature close to the current measurement environment, a second number of standard objects closest to the current target object may be selected, the measurement temperature obtained based on the second temperatures of the standard objects may better reflect the current measurement environment, and then the first temperature may be better adjusted according to the second error obtained from the measurement temperature, thereby improving the accuracy of temperature measurement.
In the case where the average value of the second temperatures of the second number of standard objects is used as the measured temperature, there may be a case where the number of the second temperatures obtained before the current target object is less than the second number, that is, the standard objects before the target object may be less than the second number, and at this time, the average value of the second temperatures of the standard objects may be directly used as the measured temperature.
By taking the average value of the second temperatures of the second number of standard objects closest to the target object as the measured temperature under the condition that the number of the standard objects is not less than the first number, and taking the average value of the second temperatures of all the standard objects as the ambient temperature under the condition that the number of the standard objects is less than the first number, more accurate measured temperature can be obtained through the above process, so that the accuracy of the second error obtained based on the measured temperature is improved, and the accuracy of the temperature measurement result is improved.
In a possible implementation manner, since the corresponding reference temperature may be obtained according to a target category to which the target object belongs, and correspondingly, the measured temperature may also be obtained according to the target category, that is, in the process of obtaining the measured temperature, the measured temperature is obtained according to a second temperature of a standard object that belongs to the same category as the target object, and how to implement the combination based on the implementation manners of the foregoing disclosed embodiments is specifically performed, and details are not repeated here.
After the reference temperature and the measured temperature are acquired, a second error of the target object may be obtained according to a deviation between the reference temperature and the measured temperature through step S1223. Specifically, the calculation manner may be flexibly determined according to an actual obtaining manner of the reference temperature and the measured temperature, and in a possible implementation manner, a difference between the reference temperature and the measured temperature may be used as the second error of the target object.
After the temperature error is obtained by any of the above-described implementations, the first temperature may be adjusted to obtain a temperature measurement result of the second temperature as the target object in step S13. The specific adjustment mode can be flexibly determined according to the implementation form of the temperature error, and is not limited to the following disclosure embodiments. In one possible implementation manner, the sum of the first temperature and the first error may be taken as the second temperature; in one possible implementation, the sum of the first temperature and the second error may be taken as the second temperature; in a possible implementation, the second temperature may also be the sum of the first temperature, the second error, and the third error.
It can be further seen from the foregoing disclosure that, in a case of acquiring a temperature error of a target object obtained according to a measurement environment, a measured temperature of the target object may be obtained according to a second temperature of a second number of standard objects closest to the target object, and therefore, if the second temperature of the target object currently measured belongs to a preset temperature range, the target object currently measured may be used as a standard object of a next target object, and the second temperature of the target object currently measured may be used in an acquisition process of the temperature error of the next target object, and therefore, in a possible implementation manner, the temperature processing method provided in this disclosure may further include:
in step S14, the measured temperature is updated according to the second temperature of the target object when the second temperature of the target object belongs to the preset temperature range.
The mode of updating the ambient temperature may be flexibly determined according to a specific obtaining mode of the ambient temperature, and a specific implementation manner may refer to each of the above-described disclosed embodiments, which is not described herein again.
Under the condition that the second temperature of the target object belongs to the preset temperature range, the measured temperature is updated according to the second temperature of the target object, so that more accurate measured temperature can be obtained in time under the condition of measuring the temperature of a plurality of target objects, the accuracy of temperature errors is improved, and the accuracy of temperature measurement results is improved.
Further, in a possible implementation manner, the temperature processing method provided in the embodiment of the present disclosure may further include: displaying the second temperature of the at least one target object.
It has been proposed in the above-mentioned disclosed embodiment that, in a possible implementation manner, a plurality of target objects may be subjected to batch temperature measurement by the above-mentioned method, and therefore, during the batch measurement, the second temperatures of the target objects may be displayed separately, or the second temperatures of the target objects may be displayed simultaneously. Nor is it intended to be limiting as to how particular is shown in the embodiments of the present disclosure. In a possible implementation manner, since the temperature measurement device can acquire the image of the target object, the second temperature of the target object can be further displayed near the image of the target object, so that the temperatures of a plurality of target objects can be observed in batch in time, whether the target object with abnormal temperature exists or not can be found in time, and the safety is improved.
FIG. 2 shows a block diagram of a temperature processing device according to an embodiment of the present disclosure. As shown, the apparatus 20 may include:
the first acquiring module 21 is configured to acquire a first temperature of the target object.
And a second obtaining module 22, configured to obtain the temperature error of the target object.
And the adjusting module 23 is configured to adjust the first temperature according to the temperature error to obtain a second temperature of the target object.
In one possible implementation manner, the second obtaining module is configured to: acquiring a first error of a target object according to the measurement distance of the target object; and/or acquiring a second error of the target object according to the measurement environment of the target object; and obtaining the temperature error according to the obtained error of the target object.
In one possible implementation manner, the second obtaining module is further configured to: acquiring the distance between a target object and temperature measuring equipment; and obtaining a first error of the target object by combining a preset relation according to the distance, wherein the preset relation comprises a corresponding relation between the measured distance and the first error.
In one possible implementation manner, the second obtaining module is further configured to: acquiring an image of a target object; and performing distance detection on the target object according to the image to obtain a distance detection result as the distance between the target object and the temperature measuring equipment.
In one possible implementation manner, the second obtaining module is further configured to: acquiring a reference temperature corresponding to a target object; acquiring a measured temperature under a measuring environment according to a second temperature of at least part of standard objects, wherein the standard objects comprise objects of which the temperature measuring time is before a target object and the corresponding second temperature belongs to a preset temperature range; and obtaining a second error of the target object according to the deviation between the reference temperature and the measured temperature.
In one possible implementation manner, the second obtaining module is further configured to: acquiring a target category to which a target object belongs, wherein the target category comprises a category determined according to at least one attribute of the target object; and obtaining the reference temperature of the target object according to the temperature distribution state corresponding to the target category.
In one possible implementation manner, the second obtaining module is further configured to: and determining the second temperature of part of the standard objects or the second temperature of all the standard objects according to the size relation between the number of the standard objects and the first number, and obtaining the measured temperature.
In one possible implementation manner, the second obtaining module is further configured to: taking an average value of second temperatures of a second number of standard objects closest to the target object as a measured temperature in a case where the number of standard objects is not less than the first number, wherein the second number is less than or equal to the first number; alternatively, in a case where the number of the standard objects is smaller than the first number, an average value of the second temperatures of all the standard objects is taken as the measured temperature.
In a possible implementation manner, the apparatus further includes an updating module, where the updating module is configured to: and updating the measured temperature according to the second temperature of the target object under the condition that the second temperature of the target object belongs to the preset temperature range.
In a possible implementation manner, the embodiment of the disclosure further discloses an application example, and the application example provides a human body temperature measurement method, which can be widely applied to public places such as the ground, airports, office buildings, rail transit, office buildings, residential gates and the like, so as to realize rapid human body temperature monitoring, early warning and the like.
Specifically, the process of human body temperature measurement proposed by the application example of the present disclosure may be:
firstly, the current body temperature of a human body is measured through infrared temperature measuring equipment, and the measurement result is recorded as tMeasuringAnd the current image of the human body is collected through infrared temperature measuring equipment.
After the image of the current human body is collected, on one hand, distance estimation can be performed according to the image of the current human body to obtain the current distance between the current human body and the infrared temperature measurement equipment, and then the temperature error delta t under the current distance is obtained according to the corresponding relation delta t between the temperature measurement distance and the temperature error f (d).
On the other hand, the system temperature error under the current environment can be obtained according to the current human body image, and the specific process can be as follows: classifying and detecting according to the image of the current human body, determining the category of the current human body, namely whether the current human body is a man or a woman, an old person or a young and old year and the like, and reading the categoryIn the application example of the present disclosure, in order to improve the temperature measurement efficiency, the step of classification detection may be omitted, and the overall temperature distribution state of the human body of all categories may be directly obtained, and since the temperature distribution state of the human body generally follows the gaussian temperature, the mean value of the gaussian distribution of the overall temperature distribution state may be obtainedAs a reference temperature.
In the application example of the present disclosure, a temperature array with a length of N may be established, and in a case where the current human body is the first temperature measurement object, if the obtained temperature measurement result is normal, the temperature may be set as an initial value of the temperature array, and then an average temperature of the temperature array is taken as the ambient temperature. Under the condition that the current human body is not the first object, the temperature of the temperature measurement objects with normal temperature of the N individuals closest to the current human body can be filled into the temperature array, and then the average temperature of the temperature array is used as the ambient temperature. In an application example of the present disclosure, the obtained ambient temperature may be recorded as
After the reference temperature and the ambient temperature are obtained, the difference between the reference temperature and the ambient temperature can be determinedAs the system temperature error in the current environment. Then, according to the two temperature errors and the temperature measurement result of the temperature measurement device, the final temperature measurement result of the current human body can be obtained
After the final temperature measurement result of the current human body is obtained, if the final temperature measurement result is normal, the temperature array with the length of N can be updated according to the final temperature measurement result, namely, the final temperature measurement result of the measurement time is deleted from the temperature array, and the current final temperature measurement result is recorded, so that the temperature of the next human body can be measured by using the updated temperature array.
It should be noted that the method proposed by the above application example can be applied to other scenes and objects with temperature measurement requirements, such as collective temperature measurement of breeding objects such as cattle and sheep in animal husbandry, besides the above mentioned objects and scenes, and is not limited to the above application example.
It is understood that the above-mentioned method embodiments of the present disclosure can be combined with each other to form a combined embodiment without departing from the logic of the principle, which is limited by the space, and the detailed description of the present disclosure is omitted.
It will be understood by those skilled in the art that in the method of the present invention, the order of writing the steps does not imply a strict order of execution and any limitations on the implementation, and the specific order of execution of the steps should be determined by their function and possible inherent logic.
Embodiments of the present disclosure also provide a computer-readable storage medium having stored thereon computer program instructions, which when executed by a processor, implement the above-mentioned method. The computer readable storage medium may be a volatile computer readable storage medium or a non-volatile computer readable storage medium.
An embodiment of the present disclosure further provides an electronic device, including: a processor; a memory for storing processor-executable instructions; wherein the processor is configured as the above method.
In practical applications, the memory may be a volatile memory (RAM); or a non-volatile memory (non-volatile memory) such as a ROM, a flash memory (flash memory), a Hard Disk (Hard Disk Drive, HDD) or a Solid-State Drive (SSD); or a combination of the above types of memories and provides instructions and data to the processor.
The processor may be at least one of ASIC, DSP, DSPD, PLD, FPGA, CPU, controller, microcontroller, and microprocessor. It is understood that the electronic devices for implementing the above-described processor functions may be other devices, and the embodiments of the present disclosure are not particularly limited.
The electronic device may be provided as a terminal, server, or other form of device.
Based on the same technical concept of the foregoing embodiments, the embodiments of the present disclosure also provide a computer program, which when executed by a processor implements the above method.
Fig. 3 is a block diagram of an electronic device 800 in accordance with an embodiment of the disclosure. For example, the electronic device 800 may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, or the like terminal.
Referring to fig. 3, electronic device 800 may include one or more of the following components: processing component 802, memory 804, power component 806, multimedia component 808, audio component 810, input/output (I/O) interface 812, sensor component 814, and communication component 816.
The processing component 802 generally controls overall operation of the electronic device 800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing components 802 may include one or more processors 820 to execute instructions to perform all or a portion of the steps of the methods described above. Further, the processing component 802 can include one or more modules that facilitate interaction between the processing component 802 and other components. For example, the processing component 802 can include a multimedia module to facilitate interaction between the multimedia component 808 and the processing component 802.
The memory 804 is configured to store various types of data to support operations at the electronic device 800. Examples of such data include instructions for any application or method operating on the electronic device 800, contact data, phonebook data, messages, pictures, videos, and so forth. The memory 804 may be implemented by any type or combination of volatile or non-volatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power supply component 806 provides power to the various components of the electronic device 800. The power components 806 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the electronic device 800.
The multimedia component 808 includes a screen that provides an output interface between the electronic device 800 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 808 includes a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the electronic device 800 is in an operation mode, such as a shooting mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 810 is configured to output and/or input audio signals. For example, the audio component 810 includes a Microphone (MIC) configured to receive external audio signals when the electronic device 800 is in an operational mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 804 or transmitted via the communication component 816. In some embodiments, audio component 810 also includes a speaker for outputting audio signals.
The I/O interface 812 provides an interface between the processing component 802 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 814 includes one or more sensors for providing various aspects of state assessment for the electronic device 800. For example, the sensor assembly 814 may detect an open/closed state of the electronic device 800, the relative positioning of components, such as a display and keypad of the electronic device 800, the sensor assembly 814 may also detect a change in the position of the electronic device 800 or a component of the electronic device 800, the presence or absence of user contact with the electronic device 800, orientation or acceleration/deceleration of the electronic device 800, and a change in the temperature of the electronic device 800. Sensor assembly 814 may include a proximity sensor configured to detect the presence of a nearby object without any physical contact. The sensor assembly 814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 816 is configured to facilitate wired or wireless communication between the electronic device 800 and other devices. The electronic device 800 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 816 receives a broadcast signal or broadcast related personnel information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 816 further includes a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the electronic device 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors or other electronic components for performing the above-described methods.
In an exemplary embodiment, a non-transitory computer-readable storage medium, such as the memory 804, is also provided that includes computer program instructions executable by the processor 820 of the electronic device 800 to perform the above-described methods.
Fig. 4 is a block diagram of an electronic device 1900 according to an embodiment of the disclosure. For example, the electronic device 1900 may be provided as a server. Referring to fig. 4, electronic device 1900 includes a processing component 1922 further including one or more processors and memory resources, represented by memory 1932, for storing instructions, e.g., applications, executable by processing component 1922. The application programs stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processing component 1922 is configured to execute instructions to perform the above-described method.
The electronic device 1900 may also include a power component 1926 configured to perform power management of the electronic device 1900, a wired or wireless network interface 1950 configured to connect the electronic device 1900 to a network, and an input/output (I/O) interface 1958. The electronic device 1900 may operate based on an operating system stored in memory 1932, such as Windows Server, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, or the like.
In an exemplary embodiment, a non-transitory computer readable storage medium, such as the memory 1932, is also provided that includes computer program instructions executable by the processing component 1922 of the electronic device 1900 to perform the above-described methods.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA), can execute computer-readable program instructions to implement various aspects of the present disclosure by utilizing state personnel information of the computer-readable program instructions to personalize the electronic circuitry.
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Having described embodiments of the present disclosure, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
Claims (20)
1. A method of temperature processing, the method comprising:
acquiring a first temperature of a target object;
acquiring a temperature error of the target object;
and adjusting the first temperature according to the temperature error to obtain a second temperature of the target object.
2. The method of claim 1, wherein the obtaining the temperature error of the target object comprises:
acquiring a first error of the target object according to the measured distance of the target object; and/or the presence of a gas in the gas,
acquiring a second error of the target object according to the measuring environment of the target object;
and obtaining the temperature error according to the obtained error of the target object.
3. The method of claim 2, wherein obtaining the first error of the target object based on the measured distance of the target object comprises:
acquiring the distance between the target object and the temperature measuring equipment;
and obtaining a first error of the target object by combining a preset relation according to the distance, wherein the preset relation comprises a corresponding relation between the measured distance and the first error.
4. The method of claim 3, wherein the obtaining the distance between the target object and the temperature measurement device comprises:
acquiring an image of a target object;
and according to the image, performing distance detection on the target object to obtain a distance detection result which is used as the distance between the target object and the temperature measuring equipment.
5. The method according to any one of claims 2 to 4, wherein the obtaining of the second error of the target object according to the measurement environment of the target object comprises:
acquiring a reference temperature corresponding to the target object;
acquiring the measured temperature under the measuring environment according to the second temperature of at least part of standard objects, wherein the standard objects comprise objects with the temperature measuring time before the target object and the corresponding second temperature belonging to a preset temperature range;
and obtaining a second error of the target object according to the deviation between the reference temperature and the measured temperature.
6. The method of claim 5, wherein the obtaining a reference temperature corresponding to the target object comprises:
acquiring a target category to which a target object belongs, wherein the target category comprises a category determined according to at least one attribute of the target object;
and obtaining the reference temperature of the target object according to the temperature distribution state corresponding to the target category.
7. The method of claim 5 or 6, wherein the obtaining a measured temperature in the measurement environment based on a second temperature of at least a portion of the standard object comprises:
and determining to obtain the measured temperature according to the second temperature of part of the standard objects or according to the second temperature of all the standard objects according to the magnitude relation between the number of the standard objects and the first number.
8. The method according to claim 7, wherein the determining to obtain the measured temperature according to the second temperature of a part of the standard objects or according to the second temperature of the whole standard objects according to the magnitude relation between the number of the standard objects and the first number comprises:
taking an average of second temperatures of a second number of the standard objects closest to the target object as the measurement temperature in a case where the number of the standard objects is not less than the first number, wherein the second number is less than or equal to the first number; or,
in a case where the number of the standard objects is smaller than the first number, an average value of the second temperatures of all the standard objects is taken as the measurement temperature.
9. The method according to any one of claims 5 to 8, further comprising:
and updating the measured temperature according to the second temperature of the target object under the condition that the second temperature of the target object belongs to a preset temperature range.
10. A temperature management device, comprising:
the first acquisition module is used for acquiring a first temperature of a target object;
the second acquisition module is used for acquiring the temperature error of the target object;
and the adjusting module is used for adjusting the first temperature according to the temperature error to obtain a second temperature of the target object.
11. The apparatus of claim 10, wherein the second obtaining module is configured to:
acquiring a first error of the target object according to the measured distance of the target object; and/or the presence of a gas in the gas,
acquiring a second error of the target object according to the measuring environment of the target object;
and obtaining the temperature error according to the obtained error of the target object.
12. The apparatus of claim 11, wherein the second obtaining module is further configured to:
acquiring the distance between the target object and the temperature measuring equipment;
and obtaining a first error of the target object by combining a preset relation according to the distance, wherein the preset relation comprises a corresponding relation between the measured distance and the first error.
13. The apparatus of claim 12, wherein the second obtaining module is further configured to:
acquiring an image of a target object;
and according to the image, performing distance detection on the target object to obtain a distance detection result which is used as the distance between the target object and the temperature measuring equipment.
14. The apparatus of any one of claims 11 to 13, wherein the second obtaining module is further configured to:
acquiring a reference temperature corresponding to the target object;
acquiring the measured temperature under the measuring environment according to the second temperature of at least part of standard objects, wherein the standard objects comprise objects with the temperature measuring time before the target object and the corresponding second temperature belonging to a preset temperature range;
and obtaining a second error of the target object according to the deviation between the reference temperature and the measured temperature.
15. The apparatus of claim 14, wherein the second obtaining module is further configured to:
acquiring a target category to which a target object belongs, wherein the target category comprises a category determined according to at least one attribute of the target object;
and obtaining the reference temperature of the target object according to the temperature distribution state corresponding to the target category.
16. The apparatus of claim 14 or 15, wherein the second obtaining module is further configured to:
and determining to obtain the measured temperature according to the second temperature of part of the standard objects or according to the second temperature of all the standard objects according to the magnitude relation between the number of the standard objects and the first number.
17. The apparatus of claim 16, wherein the second obtaining module is further configured to:
taking an average of second temperatures of a second number of the standard objects closest to the target object as the measurement temperature in a case where the number of the standard objects is not less than the first number, wherein the second number is less than or equal to the first number; or,
in a case where the number of the standard objects is smaller than the first number, an average value of the second temperatures of all the standard objects is taken as the measurement temperature.
18. The apparatus according to any one of claims 14 to 17, wherein the apparatus further comprises an update module configured to:
and updating the measured temperature according to the second temperature of the target object under the condition that the second temperature of the target object belongs to a preset temperature range.
19. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 9.
20. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any of claims 1 to 9.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010151435.1A CN111351579A (en) | 2020-03-06 | 2020-03-06 | Temperature processing method, temperature processing device, temperature processing system, electronic equipment and storage medium |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010151435.1A CN111351579A (en) | 2020-03-06 | 2020-03-06 | Temperature processing method, temperature processing device, temperature processing system, electronic equipment and storage medium |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111351579A true CN111351579A (en) | 2020-06-30 |
Family
ID=71192535
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010151435.1A Pending CN111351579A (en) | 2020-03-06 | 2020-03-06 | Temperature processing method, temperature processing device, temperature processing system, electronic equipment and storage medium |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111351579A (en) |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108344525A (en) * | 2018-02-09 | 2018-07-31 | 英华达(上海)科技有限公司 | Adaptive body temperature monitoring method and system |
CN109282900A (en) * | 2018-09-17 | 2019-01-29 | 江苏金智科技股份有限公司 | A method of improving the accuracy of Intelligent Mobile Robot infrared measurement of temperature |
CN109419495A (en) * | 2017-08-25 | 2019-03-05 | 中国科学院半导体研究所 | A kind of calibration method based on infrared heat image instrument measuring eye temperature |
CN110196103A (en) * | 2019-06-27 | 2019-09-03 | Oppo广东移动通信有限公司 | Thermometry and relevant device |
CN111339854A (en) * | 2020-02-14 | 2020-06-26 | 北京猎户星空科技有限公司 | Temperature measurement method, temperature measurement device, robot and computer storage medium |
-
2020
- 2020-03-06 CN CN202010151435.1A patent/CN111351579A/en active Pending
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN109419495A (en) * | 2017-08-25 | 2019-03-05 | 中国科学院半导体研究所 | A kind of calibration method based on infrared heat image instrument measuring eye temperature |
CN108344525A (en) * | 2018-02-09 | 2018-07-31 | 英华达(上海)科技有限公司 | Adaptive body temperature monitoring method and system |
CN109282900A (en) * | 2018-09-17 | 2019-01-29 | 江苏金智科技股份有限公司 | A method of improving the accuracy of Intelligent Mobile Robot infrared measurement of temperature |
CN110196103A (en) * | 2019-06-27 | 2019-09-03 | Oppo广东移动通信有限公司 | Thermometry and relevant device |
CN111339854A (en) * | 2020-02-14 | 2020-06-26 | 北京猎户星空科技有限公司 | Temperature measurement method, temperature measurement device, robot and computer storage medium |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US10101156B2 (en) | Method and apparatus for determining spatial parameter based on image and terminal device | |
WO2016110145A1 (en) | Method and device for setting screen brightness | |
US10356558B2 (en) | Obstacle locating method and apparatus | |
EP2919165A2 (en) | Method and device for clustering | |
US20160360713A1 (en) | Methods and apparatus for adjusting plant growth environment | |
CN111200304B (en) | Temperature detection circuit, method and device of wireless charging coil and storage medium | |
CN110598504A (en) | Image recognition method and device, electronic equipment and storage medium | |
TWI718631B (en) | Method, device and electronic apparatus for face image processing and storage medium thereof | |
CN112082656A (en) | Temperature determination method and device, electronic equipment and storage medium | |
CN107508573B (en) | Crystal oscillator oscillation frequency correction method and device | |
CN112990056A (en) | Age identification method and device, electronic equipment and storage medium | |
CN112184787A (en) | Image registration method and device, electronic equipment and storage medium | |
TWI773452B (en) | Calibration method, electronic equipment and computer readable storage medium | |
EP3629318A2 (en) | Method and apparatus for compensating operating parameter of display circuit | |
CN108020374B (en) | Air pressure value determination method and device | |
CN113267785A (en) | Distance detection method and device and electronic equipment | |
CN111351579A (en) | Temperature processing method, temperature processing device, temperature processing system, electronic equipment and storage medium | |
US20160125303A1 (en) | Method and apparatus for calculating smart indicator | |
CN108279805B (en) | Protective film detection method, device and storage medium | |
WO2022110801A1 (en) | Data processing method and apparatus, electronic device, and storage medium | |
CN106888291B (en) | Information reminding method and device and terminal | |
KR101839007B1 (en) | Smart indicator calculation method, device, program, and recording medium | |
CN111829651B (en) | Method, device and equipment for calibrating light intensity value and storage medium | |
CN109522609B (en) | A method of the reduction nuclear accident dose rate field assessment errors based on expansion factor | |
US20150262033A1 (en) | Method and terminal device for clustering |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200630 |
|
RJ01 | Rejection of invention patent application after publication |