CN107392393B - Stem cell transportation remote system with environment prediction and automatic adjustment functions - Google Patents

Stem cell transportation remote system with environment prediction and automatic adjustment functions Download PDF

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CN107392393B
CN107392393B CN201710708952.2A CN201710708952A CN107392393B CN 107392393 B CN107392393 B CN 107392393B CN 201710708952 A CN201710708952 A CN 201710708952A CN 107392393 B CN107392393 B CN 107392393B
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environment
information
temperature
humidity
stem cell
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CN107392393A (en
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胡小东
熊华强
赵翔
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Chongqing Sidemu Biological Technology Co ltd
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Abstract

The invention provides an environment prediction and automatic regulation method, which comprises the steps of collecting environment information and timestamp information in real time, predicting the environment by using historical data, and automatically regulating the environment according to the prediction result; the invention also provides a method for remote monitoring and remote positioning, which is used for sending the position information and the environment comprehensive information of the stem cells in the transportation process, wherein the position information and the environment comprehensive information comprise the maximum value, the minimum value, the mean value and the variance of the environment temperature and the humidity; the invention also provides a stem cell transportation remote system with environmental prediction and automatic regulation; the system comprises a temperature sensor, a humidity sensor, a memory, a central controller, a transportation client, a temperature regulator and a humidity regulator, and realizes the detection and automatic regulation of the stem cell transportation environment.

Description

Stem cell transportation remote system with environment prediction and automatic adjustment functions
Technical Field
The invention relates to a remote system, in particular to a stem cell transportation remote system with environment prediction and automatic regulation.
Background
The transportation and storage of stem cells have higher requirements on the environment, a set of effective management system is lacked to monitor and manage the transportation environment of the stem cells in the current transportation process of the stem cells, and the current universal error environment adjusting method on the market reversely adjusts the environment according to the error and the threshold value, has the characteristics of larger oscillation, easy occurrence of larger peak value and is not beneficial to the transportation of the stem cells; in order to solve the problems, the invention designs a stem cell transportation remote system with environment prediction and automatic regulation.
Disclosure of Invention
The invention aims to provide a stem cell remote system with environment prediction and automatic regulation, which can realize the detection, prediction and automatic regulation of the storage environment in the process of stem cell transportation and has the functions of storing the real-time change information of the environment and sending the position information at regular time.
The invention is realized by the following technical scheme:
the invention provides an environment monitoring and information storage method, which comprises the following steps: the method comprises the steps of acquiring storage environment information and storage environment information in the transportation process in real time; the environmental information in the stem cell transportation process is quantified by using the environmental temperature and environmental humidity indexes in the stem cell transportation process, the environmental temperature and environmental humidity information in the stem cell transportation process is detected in real time, and the humidity, environmental temperature information and collection time stamp information thereof are stored as the historical information in the stem cell transportation process.
The invention provides an environment prediction and automatic regulation method, which comprises the following steps: the method comprises the steps of predicting and automatically adjusting the environmental information by using historical information so as to achieve the stability of the storage environment in the transportation process.
In the process of stem cell transportation, stem cell storage environment information such as stem cell storage environment temperature, humidity and the like is acquired in real time. Explaining by taking temperature as an example, and the prediction and adjustment methods of other environmental information are the same;
the obtained stem cell storage environment temperature information c and the time stamp information t are stored in a data pair [ t, c ] form; according to the principle that the environmental transformation belongs to linear change and the change rule is closer to the change rule when the time is closer, historical data within 20s is selected according to the following formula to predict the temperature change in the environment:
ti=t0-(1.1i-1)s.t.t0-ti≤20,i=N+
in the above formula, i represents the number of selected historical data points, tiTo select the ith data time information, t0Is the current time. From the above equation, the selected historical data points have 32 points (including the current time). For selecting 32 pairs of data ti,c(ti)](i ═ 0,1,2 …,31), matching using a polynomial of order 31, the expression:
Figure BDA0001382206830000011
in the formula, ajIs a polynomial parameter.
Prediction of temperature using matched polynomials for input time information (t)0+ at), the prediction result is output,
Figure BDA0001382206830000012
rate of change at present time
Figure BDA0001382206830000013
When in use
Figure BDA0001382206830000014
When the temperature is reduced, the temperature is in an increasing trend; when in use
Figure BDA0001382206830000015
The temperature will tend to decrease;
according to at time t0A target temperature of + Δ t of
Figure BDA0001382206830000021
The error function is defined as:
Figure BDA0001382206830000022
when delta is larger than 0, the predicted temperature is higher than the target temperature, and the system needs to be cooled;
when delta is less than 0, the predicted temperature is lower than the target temperature, and the system needs to be warmed.
Comprehensively considering error delta and variation trend
Figure BDA0001382206830000023
The ambient temperature was fine-tuned as follows:
the first condition is as follows: if delta is 0, the environment is not processed, the environment is detected in real time, and the environment temperature, humidity and change trend are predicted; the processing code is defined as 00B;
case two: if Δ > 0 and
Figure BDA0001382206830000024
cooling or drying the environment, detecting the environment in real time and predicting the temperature, humidity and variation trend of the environment; processing the code 01B;
case three: if Δ > 0 and
Figure BDA0001382206830000025
is not harmful to the environmentPerforming any treatment, detecting the environment in real time and predicting the temperature, humidity and variation trend of the environment; processing the code 00B;
case four: if Δ < 0 and
Figure BDA0001382206830000026
carrying out heating or humidifying treatment on the environment, detecting the environment in real time and predicting the temperature, humidity and change trend of the environment; processing the code 10B;
case five: if Δ < 0 and
Figure BDA0001382206830000027
the environment is not processed at all, the environment is detected in real time, the ambient temperature, humidity and change trend are predicted, and the code 00B is processed;
the processing code is defined as a two-bit binary number; the high binary number indicates whether the adding operation is effective, namely whether the temperature is heated or the humidity is humidified; the low binary number indicates whether the subtracting operation is effective, namely whether the temperature reduction operation or the drying treatment is carried out; taken together, 00B indicates that no action is performed.
The invention provides a method for remote monitoring and remote positioning, which comprises the following steps: the method comprises the step of sending the environmental information in the stem cell transportation process and the position information in the stem cell transportation process. The environmental information in the stem cell transportation process contains the maximum value, the minimum value, the mean value and the variance of the environmental variables in the silent time interval, so that the evaluation of the environmental change condition is facilitated.
The invention provides a stem cell transportation remote system with environment prediction and automatic regulation, which comprises:
and the temperature sensor and the humidity sensor are used for detecting temperature and humidity information in the stem cell transportation environment.
And the memory is used for storing the temperature and humidity information detected by the temperature sensor and the humidity sensor and the detection time information thereof.
And the central controller is used for sending an environment adjusting instruction including a temperature adjusting instruction and a humidity adjusting instruction according to an environment predicting and automatic adjusting method by using the temperature and humidity information data in the memory, realizing the transportation environment adjusting control of the stem cells, and sending the environmental information and the position information in the transportation process of the stem cells according to a remote monitoring and remote positioning method.
And the transportation client is used for displaying the temperature and humidity information in the stem cell transportation environment detected by the temperature sensor and the humidity sensor in real time, setting threshold information and carrying out alarm display when the environment exceeds the threshold.
And the management client is used for receiving the environmental information and the position information in the stem cell transportation process sent by the central controller and monitoring the environment in the stem cell transportation process.
The temperature regulator and the humidity regulator receive an environment regulation instruction sent by the central controller and respectively regulate according to the temperature regulation instruction and the humidity regulation instruction contained in the environment regulation instruction.
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The invention is further illustrated with reference to the following figures and examples:
FIG. 1 the present invention is a stem cell delivery remote system with environmental prediction and autoregulation.
Detailed Description
The present invention is described in detail below by way of examples, it should be noted that the following examples are only for illustrating the present invention and should not be construed as limiting the scope of the present invention, and those skilled in the art can make some insubstantial modifications and adaptations of the present invention based on the above-described disclosure.
As shown in figure 1, the stem cell transportation remote system with environment prediction and automatic regulation is characterized in that in the stem cell transportation process, an environment temperature sensor and an environment humidity sensor are installed to detect the environment according to a period of 1ms, the temperature detection precision is 0.01 ℃, and the humidity detection precision is 0.1%; transmitting the ambient temperature, the ambient humidity and the timestamp information to a memory;
the memory receives temperature, humidity and timestamp information sent by the temperature sensor and the humidity sensor and stores data according to a data pair mode;
and the center takes 1s as a period, and performs 31-order polynomial matching on the historical data within 20s according to an environment prediction and automatic adjustment method, wherein the matching polynomial is as follows:
Figure BDA0001382206830000031
predicting the environment by using the matched polynomial to obtain a prediction result
Figure BDA0001382206830000032
And rate of change at the current time
Figure BDA0001382206830000033
And according to the target temperature
Figure BDA0001382206830000034
Calculating error
Figure BDA0001382206830000035
According to calculated rate of change
Figure BDA0001382206830000036
And error delta, and correspondingly fine-tuning the environment as judged by:
when delta is 0, the environment is not processed, the environment is detected in real time, and the environment temperature, humidity and change trend are predicted;
when Δ > 0 and
Figure BDA0001382206830000037
cooling or drying the environment, detecting the environment in real time and predicting the temperature, humidity and variation trend of the environment;
when Δ > 0 and
Figure BDA0001382206830000038
the environment is detected in real time without any treatment, and the ambient temperature, humidity and variation trend are predicted;
when Δ is < 0 and
Figure BDA0001382206830000039
carrying out heating or humidifying treatment on the environment, detecting the environment in real time and predicting the temperature, humidity and change trend of the environment;
when Δ is < 0 and
Figure BDA00013822068300000310
the environment is not processed, and the environment is detected in real time and the ambient temperature, humidity and variation trend are predicted.
In the silent period of the sending position, calculating comprehensive information of the ambient temperature and the ambient humidity in the silent period, wherein the comprehensive information comprises maximum value, minimum value, mean value and variance information; the central controller sends the environment comprehensive information and the stem cell position information to the designated management client at regular time;
the central processing unit updates the environmental monitoring information of the transportation client in real time, including real-time detection of a temperature value and a humidity value, and uses the temperature value, the humidity value and a predicted value thereof to be compared with a threshold, so as to early warn in advance;
the temperature regulator and the humidity regulator receive an environment regulation instruction sent by the central controller and carry out fine adjustment according to the temperature regulation instruction and the humidity regulation instruction contained in the environment regulation instruction.

Claims (3)

1. An environmental prediction and automatic adjustment method, characterized by:
acquiring environmental information and timestamp information in the transportation process, selecting historical data as a sample, and performing environmental prediction and automatic adjustment;
the environmental information comprises the environmental temperature and the environmental humidity in the transportation process of the stem cells;
the environment information and the timestamp information are stored in a data pair [ t, v ], wherein t is the timestamp information, v is the environment information and is the environment temperature or the environment humidity;
the historical data is selected within 20s according to the principle that the change rule is closer to the change rule as the time is closer, and the selection formula is as follows:
ti=t0-(1.1i-1)s.t.t0-ti≤20,i=N+
the environment prediction adopts 31-order polynomial to 32 historical data pairs selected by the historical data method
Figure FDA0002267124280000011
Matching is carried out to obtain t0Predicted result at time + Δ t
Figure FDA0002267124280000012
Rate of change at present time
Figure FDA0002267124280000013
The automatic adjustment is according to t0Target temperature or target humidity at time + Δ t
Figure FDA0002267124280000014
Calculating error
Figure FDA0002267124280000015
From the above rate of change
Figure FDA0002267124280000016
The error function Δ is finely adjusted in five cases:
the first condition is as follows: if delta is 0, the environment is not processed, the environment is detected in real time, and the environment temperature, humidity and change trend are predicted; processing the code 00B;
case two: if Δ > 0 and
Figure FDA0002267124280000017
cooling or drying the environment, detecting the environment in real time and predicting the temperature, humidity and variation trend of the environment; processing the code 01B;
case three: if Δ > 0 and
Figure FDA0002267124280000018
the environment is detected in real time without any treatment, and the ambient temperature, humidity and variation trend are predicted; processing the code 00B;
case four: if Δ < 0 and
Figure FDA0002267124280000019
carrying out heating or humidifying treatment on the environment, detecting the environment in real time and predicting the temperature, humidity and change trend of the environment; processing the code 10B;
case five: if Δ < 0 and
Figure FDA00022671242800000110
the environment is detected in real time without any treatment, and the ambient temperature, humidity and variation trend are predicted; code 00B is processed.
2. A remote monitoring and remote positioning method based on the method of claim 1, characterized in that:
periodically sending environment comprehensive information and position information in the stem cell transportation process;
the environment comprehensive information is environment information in a timing interval, namely a silent time interval, and comprises the maximum value, the minimum value, the mean value, the variance information and the processing code at the current moment;
the processing code is according to the environment prediction and automatic adjustment method.
3. A stem cell transportation remote system based on the method of claim 2, wherein:
the stem cell transportation remote system consists of a temperature sensor, a humidity sensor, a memory, a central controller, a transportation client, a management client, a temperature regulator and a humidity regulator;
the temperature sensor and the humidity sensor monitor environmental information in real time and output environmental temperature, environmental humidity and timestamp information;
the memory receives the environment temperature, the environment temperature and the timestamp information and stores the information in a data pair [ t, v ], wherein t is the timestamp information, and v is the environment information;
the central controller sends out an environment adjusting instruction according to an environment predicting and automatic adjusting method by using the temperature and humidity information data in the memory to realize the adjustment and control of the transportation environment of the stem cells;
the transportation client is used for displaying temperature and humidity information in the stem cell transportation environment detected by the temperature sensor and the humidity sensor and setting threshold information, and alarming and displaying when the environment exceeds the threshold;
the management client is used for receiving the environmental information and the position information in the stem cell transportation process sent by the central controller and monitoring the environment in the stem cell transportation process;
the temperature regulator and the humidity regulator receive an environment regulation instruction sent by the central controller and respectively regulate according to the temperature regulation instruction and the humidity regulation instruction contained in the environment regulation instruction.
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CN107817685B (en) * 2017-12-05 2020-12-11 上海信联信息发展股份有限公司 Intelligent temperature monitoring method, device, system and terminal
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CN117407728B (en) * 2023-12-15 2024-03-15 湖南南华生物技术有限公司 Storage environment real-time monitoring method and system for stem cells

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202286005U (en) * 2011-10-09 2012-07-04 协和干细胞基因工程有限公司 Stem cell storage tank with liquid level and temperature monitoring devices
CN106375487A (en) * 2016-11-29 2017-02-01 合肥瑞萨德环境科技有限公司 Monitoring system for environment monitoring vehicle
CN206161037U (en) * 2016-08-31 2017-05-10 温州科达智能系统工程有限公司 Take alarming function's environment intellectual detection system net

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN202286005U (en) * 2011-10-09 2012-07-04 协和干细胞基因工程有限公司 Stem cell storage tank with liquid level and temperature monitoring devices
CN206161037U (en) * 2016-08-31 2017-05-10 温州科达智能系统工程有限公司 Take alarming function's environment intellectual detection system net
CN106375487A (en) * 2016-11-29 2017-02-01 合肥瑞萨德环境科技有限公司 Monitoring system for environment monitoring vehicle

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
CSCBTM: China Stem Cell Bank Information;Yunlong Ma 等;《2010 Second WRI Global Congress on Intelligent Systems》;20101231;410-413 *

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