CN111696684A - Method for intelligent temperature measurement Internet of things big data early warning platform - Google Patents
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Abstract
The utility model provides a method of intelligence temperature measurement thing networking big data early warning platform, discloses the point of measurement networking becomes thing networking platform, obtains the temperature measurement data in individual different time different places, rectifies the temperature measurement time point of one day, self-training individual's body temperature threshold value, and a point of measurement intelligent control center connects multiunit face identification unit, infrared temperature measurement unit, improves temperature measurement efficiency, in addition with the intelligent bracelet connect intelligent client's display mode, as the current auxiliary technology means of temperature measurement safety, improves the current efficiency of temperature measurement safety.
Description
Technical Field
The invention relates to the technical field of information, in particular to a method for an intelligent temperature measurement Internet of things big data early warning platform.
Background
In one aspect, the temperature of the human body is relatively constant, with normal humans having a slight fluctuation in body temperature within 24 hours, typically not exceeding 1 degree difference. In physiological conditions, the morning body mass is slightly lower and the afternoon is slightly higher. The normal body temperature variation range among individuals can reach 2.7 degrees, the body temperature difference of each person at different time in one day can be 0.6 degree, the body temperature of normal people is lowest at 6 morning, and is highest at 4 afternoon, the temperature measurement early warning is generally carried out without considering the fluctuation of the body temperature, a threshold value is uniformly adopted, the condition that the body temperature of the individuals is different is not considered, and the early warning with higher precision can not be carried out. The vast majority of current technical scheme temperature measurement points are not networked, and the temperature that individual surveyed in different time different places can't be coordinated, also can't and consider the produced error of environment and human body characteristic and correct to reflect the trend of change with individual temperature itself more accurately, reflect health normal conditions, send accurate effective early warning that sends more accurate.
On the other hand, the manual or equipment temperature measurement release mode of the temperature measurement point can cause low efficiency and cause blockage and confusion of people flow, and if the method is a safety measure in an epidemic prevention application scene, the infection risk of group aggregation is increased.
Disclosure of Invention
In view of the problems in the background art, the invention creates the technical scheme of the method for the intelligent temperature measurement Internet of things big data early warning platform, temperature measurement points are networked into the Internet of things platform, temperature measurement data of different places of an individual at different time points are obtained, the temperature measurement time points of one day in a biological cycle are corrected, the early warning threshold value of the individual is automatically self-trained, only a control center is adopted for one temperature measurement point, a plurality of groups of face recognition units and infrared temperature measurement units are connected, the temperature measurement efficiency is improved, in addition, the safety display mode of an intelligent equipment client is controlled by a member system supported by an intelligent bracelet, the member system serves as an auxiliary technical means for the temperature measurement safety monitoring and passing of the temperature measurement points, and the passing efficiency of the temperature measurement safety is further. The specific technical scheme comprises the following contents:
a method of an intelligent temperature measurement Internet of things big data early warning platform is characterized by comprising but not limited to a server cloud platform, a temperature measurement point intelligent control center, a face recognition unit, an infrared temperature measurement unit, a voice unit, an intelligent temperature measurement bracelet and an intelligent equipment client; the server cloud platform is in communication with the intelligent temperature measurement control center, and the intelligent temperature measurement control center is used for performing information communication with the server cloud platform as a role of a system user of the cloud platform.
The intelligent temperature measuring bracelet is connected with the intelligent equipment client in a Bluetooth and hotspot communication mode; the intelligent equipment client is connected with the server cloud platform; when the checkpoint of the temperature measuring point is set, a user submits temperature data of the intelligent temperature measuring bracelet obtained within a currently set time period to the server cloud platform through operation on the intelligent device client, preferably, the value of the set time period is 25 minutes, if the data of the intelligent temperature measuring bracelet within the currently set time period is not available, an instant temperature measuring instruction is sent, and the returned temperature data is set as temperature numerical data in submitted information.
The real-time dynamic user body temperature threshold value is obtained through calculation, the server cloud platform communicates with each temperature measuring point intelligent control center, the user real-time temperature measuring value is larger than the body temperature threshold value, an alarm is sent out, personnel at the temperature measuring points can process the temperature measuring point according to a preset processing scheme, the user real-time temperature measuring result of the intelligent temperature measuring bracelet can be compared with the user body temperature threshold value in real time, and when the temperature measuring value is larger than the body temperature threshold value, the alarm is sent out at a management interface of the server cloud platform and an intelligent equipment client side, and the preset processing is carried out.
The method for the intelligent temperature measurement Internet of things big data early warning platform is characterized by comprising the following steps: the intelligent control center of the temperature measuring point is respectively connected with the face recognition unit and the infrared temperature measuring unit, the face recognition unit is started to be in a monitoring state, when a person is monitored, the relative coordinate of a monitored actual physical space where the face is located and face characteristic data are submitted to the intelligent control center of the temperature measuring point, the intelligent control center of the temperature measuring point searches personal information in a local database, if the personal information cannot be searched, the personal information is submitted to a server cloud platform, if the personal information is returned by the server cloud platform, the personal information is recorded in the local database, otherwise, a personal information registration window is popped up in the intelligent control center of the temperature measuring point, and voice prompt is carried out at the same time; after the registration operation is finished, submitting personal information and face feature codes to the server cloud platform records; and the intelligent temperature measuring point control center converts the current relative coordinates obtained from the face recognition unit into lower computer control parameters, controls and adjusts the spatial direction of the infrared temperature measuring unit to a proper position, and starts temperature measuring action.
The method for the intelligent temperature measurement Internet of things big data early warning platform is characterized by comprising the following steps: and after temperature measurement, submitting the obtained data to an intelligent control center of a temperature measurement point for analysis and processing, and outputting corresponding prompt voice by a voice unit.
The method for the intelligent temperature measurement Internet of things big data early warning platform is characterized by comprising the following steps: the server cloud platform is connected with the plurality of temperature measurement point intelligent control centers, one temperature measurement point intelligent control center is connected with the plurality of face recognition units and the infrared temperature measurement units, and one face recognition unit and one infrared temperature measurement unit form a group to work in a matched mode.
The method for the intelligent temperature measurement Internet of things big data early warning platform is characterized by comprising the following steps: the intelligent temperature measuring bracelet submits the data to the server cloud platform and compares the data with a temperature early warning threshold value corresponding to a corresponding user; the judgment result responds to and returns to the intelligent equipment client information in two ways, wherein the first way is to return an instruction of displaying the dynamic security digital code and the color and pattern form of the appointed skin of the intelligent client interface, and the first way is to check the staff at the temperature measuring point, observe the comparison between the dynamic security digital code displayed by the intelligent client of the user and the color and pattern form of the appointed skin and the standard security interface displayed by the staff background, if the dynamic security digital code is identical with the standard security interface, the user can pass the standard security interface quickly, otherwise, the abnormal record is intercepted; secondly, searching a temperature measuring point with the nearest position distance by taking the positioning data of the intelligent client as a basis, sending an instruction for opening the electronic handrail to the searched temperature measuring point, and releasing the passage of the user; the two modes are used for carrying out safe passing of temperature measurement verification of a safe release supplementary face recognition mode.
The method for the intelligent temperature measurement Internet of things big data early warning platform is characterized by comprising the following steps: and correcting the error of the temperature measurement result value by the environment temperature, wherein the current temperature measurement value C is t at the current time of day, and the error correction calculation method of the temperature measurement result data is as follows:
wherein, λ is the corrected temperature measurement value, K is the weight constant, and a is the value adjusting constant.
The method for the intelligent temperature measurement Internet of things big data early warning platform is characterized in that the individualized normal body temperature threshold value is corrected, the weight of the temperature value after time attenuation to the current normal body temperature threshold value is adopted, time is taken as a parameter variable, attenuation operation is carried out on the temperature measurement weight according to the interval △ T between the current operation time D1 and the temperature measurement data corresponding time D2, the objectivity of influence of historical temperature measurement data on the current temperature measurement safety threshold value is further ensured, all S individual temperature records of a user in the system are searched while the normal body temperature threshold value is ensured to be continuously optimized along with the increase of data, and the body temperature values are respectively:
、
、
....
based on such technical settings, the user personalizes the body temperature threshold
Calculated as follows.
Compared with the prior art, the invention has the beneficial effects that:
the mature product is already popularized in the market by combining the technical means of face recognition and temperature measurement, and the combination of the two effectively solves the corresponding relation between temperature measurement and individuals in an information system, but has no originality and creativity, so that the internet networking platform is added to carry out intelligent operation and solve the prior technical problems, and the innovation is achieved up to now.
The early warning correction of the accompanying personnel is realized, similar data are not searched for temporarily, and compared with the current result of searching for new data, the early warning correction method has creativity, novelty and practicability.
One temperature measuring point is provided with a plurality of groups of face recognition and temperature measuring probes, so that the efficiency is greatly improved, and the passing efficiency of the temperature measuring point is accelerated
According to the state of an individual on a time axis, the influence of the external temperature on the body temperature is corrected, and the individual temperature alarm threshold values are calculated by respectively giving weights, so that the early warning accuracy is greatly improved.
Adopt temperature measurement bracelet and smart machine terminal, connect server cloud platform, carry out the early warning with regard to user's current effective body temperature and compare the operation to show dynamic numeral and customer end skin color shape on the client, the temperature measurement of cooperation temperature measurement point is safe current, has greatly accelerated temperature measurement point people flow speed.
Drawings
Fig. 1 is an overall logic architecture diagram of a technical scheme of a method of an intelligent temperature measurement internet of things big data early warning platform.
Detailed Description
A method for an intelligent temperature measurement Internet of things big data early warning platform comprises but is not limited to a server cloud platform, a temperature measurement point intelligent control center, a face recognition unit, an infrared temperature measurement unit, a voice unit, an intelligent temperature measurement bracelet and an intelligent device client; the server cloud platform is in communication with the intelligent temperature measurement control center, and the intelligent temperature measurement control center is used for performing information communication with the server cloud platform as a role of a system user of the cloud platform.
The intelligent control center of the temperature measuring point converts the current relative coordinates obtained from the face recognition unit into lower computer control parameters, controls and adjusts the spatial direction of the infrared temperature measuring unit to a proper position, and starts temperature measuring action; further, the intelligent control center of the temperature measuring point is respectively connected with the face recognition unit and the infrared temperature measuring unit, the face recognition unit starts a monitoring state, when a person is monitored, relative coordinates of a monitored actual physical space where the face is located and face feature data are submitted to the intelligent control center of the temperature measuring point, the intelligent control center of the temperature measuring point searches personal information in a local database, if the personal information cannot be searched, the personal information is submitted to the server cloud platform, if the personal information returned by the server cloud platform is obtained and recorded in the local database, otherwise, a personal information registration window is popped up in the intelligent control center of the temperature measuring point, and meanwhile, voice prompt 'the person is not registered in the system and please input the personal information'. After the registration operation is completed, the personal information and the face feature codes are submitted to the server cloud platform records. The intelligent control center of the temperature measuring point converts the current relative coordinates obtained from the face recognition unit into control parameters of a lower computer, controls and adjusts the spatial direction of the infrared temperature measuring unit to a proper position, starts temperature measuring action, submits the obtained data to the intelligent control center of the temperature measuring point for analysis and processing after temperature measurement, and outputs corresponding prompt voice by the voice unit, and the prompt voice embodiment is as follows: and when the temperature measurement data is out of the effective range, language information of 'temperature measurement failure' is obtained.
As a preferred technical scheme of the invention, one server cloud platform is connected with a plurality of temperature measurement point intelligent control centers.
As a preferred technical scheme of the invention, one temperature measuring point intelligent control center is connected with a plurality of face recognition units and infrared temperature measuring units, and one face recognition unit and one infrared temperature measuring unit form a group to work cooperatively.
As a preferred technical scheme of the invention, the intelligent temperature measuring bracelet is connected with the intelligent equipment client in a Bluetooth and hotspot communication mode; the intelligent equipment client is connected with the server cloud platform; when a checkpoint of a temperature measuring point is set, a user submits temperature data of the intelligent temperature measuring bracelet obtained within a currently set time period to the server cloud platform through operation on the intelligent device client, preferably, the value of the set time period is 25 minutes, if the data of the intelligent temperature measuring bracelet within the currently set time period is absent, an instant temperature measuring instruction is sent, and the returned temperature data is set as temperature numerical data in submitted information; the intelligent temperature measuring bracelet submits the data to the server cloud platform and compares the data with a temperature early warning threshold value corresponding to a corresponding user; the judgment result responds to and returns to the intelligent equipment client information in two ways, wherein the first way is to return an instruction of displaying the dynamic security digital code and the color and pattern form of the appointed skin of the intelligent client interface, and the first way is to check the staff at the temperature measuring point, observe the comparison between the dynamic security digital code displayed by the intelligent client of the user and the color and pattern form of the appointed skin and the standard security interface displayed by the staff background, if the dynamic security digital code is identical with the standard security interface, the user can pass the standard security interface quickly, otherwise, the abnormal record is intercepted; secondly, searching a temperature measuring point with the nearest position distance by taking the positioning data of the intelligent client as a basis, sending an instruction for opening the electronic handrail to the searched temperature measuring point, and releasing the passage of the user; the two modes are used for carrying out safe passing of temperature measurement verification of a safe release supplementary face recognition mode.
The error correction of the environmental temperature to the temperature measurement result value shows that the temperature of a human body is relatively constant, but the temperature of a normal human body fluctuates in a small range within 24 hours in a day, and the fluctuation range is not more than 1 ℃. Generally, in a relatively stable physiological state, the body temperature is lowest in the morning and reaches a peak value in the afternoon. The normal body temperature variation range among individuals can reach 2.7 degrees, and the more specific medical rule is as follows: the body temperature difference of each person can be 0.6 degrees at different times in one day, and the body temperature of a normal person is lowest in the morning and highest in the afternoon at 4. And if the current temperature measurement value C is t at the current time of day, the error correction calculation method of the temperature measurement result data is as follows:
wherein, λ is the corrected temperature measurement value, K is the weight constant, and a is the value adjusting constant.
The technical scheme of the invention adopts time as parameter variable, and carries out attenuation operation on the weight of temperature measurement according to the interval delta T between the time D1 of current operation and the time D2 corresponding to temperature measurement data, thereby further ensuring the objectivity of the influence of historical temperature measurement data on the current temperature measurement safety threshold value.
Besides ensuring that the normal body temperature threshold can be continuously optimized along with the increase of data, searching all the S individual temperature records of the user in the system, wherein the body temperature values are respectively as follows:
、
、
....
based on such technical settings, the user personalizes the body temperature threshold
Calculated as follows.
The real-time dynamic user body temperature threshold value is obtained through the calculation through the algorithm, the real-time dynamic user body temperature threshold value is communicated to each temperature measuring point intelligent control center through the server cloud platform, the alarm is sent out when the real-time temperature measuring value of the user is larger than the body temperature threshold value, personnel at the temperature measuring points can process the temperature measuring value according to a prefabricated processing scheme, the real-time temperature measuring result of the user of the intelligent temperature measuring bracelet can be compared with the user body temperature threshold value in real time, and when the temperature measuring value is larger than the body temperature threshold value, the alarm is sent out at a management interface of the server cloud platform and. Therefore, a safety platform management result for accurately alarming the body temperature is obtained.
Particularly, it is stated that: reference throughout this specification to "an embodiment," or the like, means that a particular feature, element, or characteristic described in connection with the embodiment is included in embodiments described generally throughout this application. The appearances of the same phrase in various places in the specification are not necessarily all referring to the same embodiment. That is, when a particular feature, element, or characteristic is described in connection with any embodiment, it is submitted that it is within the purview of one skilled in the art to effect such feature, element, or characteristic in connection with other ones of the embodiments, embodiments the present invention has been described with reference to a number of illustrative embodiments of the logical architecture and concepts of the present invention, the scope of protection of the invention is not limited thereto, but many other modifications and embodiments can be devised by those skilled in the art within the framework of the present invention, numerous non-essential variants and modifications can be made to the gist combination and/or to the layout of the technical solutions, which, as is apparent to a person skilled in the art, other uses will be apparent and insubstantial changes or substitutions in implementation can be readily made, and such modifications and implementations will fall within the spirit and scope of the principles disclosed herein.
Claims (7)
1. A method of an intelligent temperature measurement Internet of things big data early warning platform is characterized by comprising but not limited to a server cloud platform, a temperature measurement point intelligent control center, a face recognition unit, an infrared temperature measurement unit, a voice unit, an intelligent temperature measurement bracelet and an intelligent equipment client; the server cloud platform is in communication connection with the intelligent temperature measurement control center, and the intelligent temperature measurement control center is used for performing information communication with the server cloud platform as the role of a system user of the cloud platform;
the intelligent temperature measuring bracelet is connected with the intelligent equipment client in a Bluetooth and hotspot communication mode; the intelligent equipment client is connected with the server cloud platform; when a checkpoint of a temperature measuring point is set, a user submits temperature data of the intelligent temperature measuring bracelet obtained within a currently set time period to the server cloud platform through operation on the intelligent device client, preferably, the value of the set time period is 25 minutes, if the data of the intelligent temperature measuring bracelet within the currently set time period is absent, an instant temperature measuring instruction is sent, and the returned temperature data is set as temperature numerical data in submitted information;
the real-time dynamic user body temperature threshold value is obtained through calculation, the server cloud platform communicates with each temperature measuring point intelligent control center, the user real-time temperature measuring value is larger than the body temperature threshold value, an alarm is sent out, personnel at the temperature measuring points can process the temperature measuring point according to a preset processing scheme, the user real-time temperature measuring result of the intelligent temperature measuring bracelet can be compared with the user body temperature threshold value in real time, and when the temperature measuring value is larger than the body temperature threshold value, the alarm is sent out at a management interface of the server cloud platform and an intelligent equipment client side, and the preset processing is carried out.
2. The method of the big data early warning platform of the intelligent temperature measurement Internet of things is characterized in that: the intelligent control center of the temperature measuring point is respectively connected with the face recognition unit and the infrared temperature measuring unit, the face recognition unit is started to be in a monitoring state, when a person is monitored, the relative coordinate of a monitored actual physical space where the face is located and face characteristic data are submitted to the intelligent control center of the temperature measuring point, the intelligent control center of the temperature measuring point searches personal information in a local database, if the personal information cannot be searched, the personal information is submitted to a server cloud platform, if the personal information is returned by the server cloud platform, the personal information is recorded in the local database, otherwise, a personal information registration window is popped up in the intelligent control center of the temperature measuring point, and voice prompt is carried out at the same time; after the registration operation is finished, submitting personal information and face feature codes to the server cloud platform records; and the intelligent temperature measuring point control center converts the current relative coordinates obtained from the face recognition unit into lower computer control parameters, controls and adjusts the spatial direction of the infrared temperature measuring unit to a proper position, and starts temperature measuring action.
3. The method of the big data early warning platform of the intelligent temperature measurement Internet of things is characterized in that: and after temperature measurement, submitting the obtained data to an intelligent control center of a temperature measurement point for analysis and processing, and outputting corresponding prompt voice by a voice unit.
4. The method of the big data early warning platform of the intelligent temperature measurement Internet of things is characterized in that: the server cloud platform is connected with the plurality of temperature measurement point intelligent control centers, one temperature measurement point intelligent control center is connected with the plurality of face recognition units and the infrared temperature measurement units, and one face recognition unit and one infrared temperature measurement unit form a group to work in a matched mode.
5. The method of the big data early warning platform of the intelligent temperature measurement Internet of things is characterized in that: the intelligent temperature measuring bracelet submits the data to the server cloud platform and compares the data with a temperature early warning threshold value corresponding to a corresponding user; the judgment result responds to and returns to the intelligent equipment client information in two ways, wherein the first way is to return an instruction of displaying the dynamic security digital code and the color and pattern form of the appointed skin of the intelligent client interface, and the first way is to check the staff at the temperature measuring point, observe the comparison between the dynamic security digital code displayed by the intelligent client of the user and the color and pattern form of the appointed skin and the standard security interface displayed by the staff background, if the dynamic security digital code is identical with the standard security interface, the user can pass the standard security interface quickly, otherwise, the abnormal record is intercepted; secondly, searching a temperature measuring point with the nearest position distance by taking the positioning data of the intelligent client as a basis, sending an instruction for opening the electronic handrail to the searched temperature measuring point, and releasing the passage of the user; the two modes are used for carrying out safe passing of temperature measurement verification of a safe release supplementary face recognition mode.
6. The method of the big data early warning platform of the intelligent temperature measurement Internet of things is characterized in that: and correcting the error of the temperature measurement result value by the environment temperature, wherein the current temperature measurement value C is t at the current time of day, and the error correction calculation method of the temperature measurement result data is as follows:
wherein, λ is the corrected temperature measurement value, K is the weight constant, and a is the value adjusting constant.
7. The method for the big data early warning platform of the intelligent temperature measurement Internet of things as claimed in claim 1, is characterized in that the normal body temperature threshold is personalized and corrected, the weight of the body temperature value after time attenuation to the current normal body temperature threshold is adopted, time is taken as a parameter variable, the weight of temperature measurement is subjected to attenuation operation according to the interval △ T between the current operation time D1 and the time D2 corresponding to the temperature measurement data, the objectivity of influence of historical temperature measurement data on the current temperature measurement safety threshold is further ensured, all S individual temperature records of a user in the system are searched while the normal body temperature threshold is ensured to be continuously optimized along with the increase of the data, and the body temperature values are respectively:
、
、
....
based on such technical settings, the user personalizes the body temperature threshold
Calculated according to the following formula;
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112263421A (en) * | 2020-12-23 | 2021-01-26 | 南京市星瑞斯科技有限公司 | Epidemic situation isolation health monitoring system and method thereof |
| CN113884193A (en) * | 2021-09-28 | 2022-01-04 | 深圳市卡联科技股份有限公司 | AI infrared temperature measurement method, system and device based on Internet of things and storage medium |
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| CN111220276A (en) * | 2020-02-04 | 2020-06-02 | 湖南大学 | Method and system for monitoring fever symptoms of human body |
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