A cold chain storage environment temperature monitoring system and method

Abstract

The present invention discloses a cold chain storage environment temperature monitoring system and method, and relates to the technical field of cold chain transportation temperature monitoring. By performing temperature zone analysis according to the transported products, a number of transport records corresponding to the inertia time period of such transported products are obtained, and the transport records include unloading temperature zones and simulated variable values; then all simulated variable values ​​are obtained, and the simulated variable values ​​are analyzed. According to the distribution range of the simulated variable values, if the simulated variable value aggregation degree is high, the recognized variable value is automatically determined; otherwise, the temperature corresponding to the minimum value in all unloading temperature zones is obtained, and it is marked as the lower limit temperature, and the temperature corresponding to the maximum value in all unloading temperature zones is marked as the upper limit temperature; the recognized temperature variable values ​​of all temperature setting intervals are obtained according to the records; then, according to different environments and monitoring conditions, it is determined when to start unloading, and the analysis is started at the beginning of unloading. If the safety time is exceeded under different environments, an alarm is automatically issued; the present invention is simple, effective, and easy to use.

Description

Technical Field

[0001] The present invention belongs to the technical field of cold chain storage temperature monitoring, and specifically relates to a cold chain storage environment temperature monitoring system and method. Background Art

[0002] The patent with publication number CN112185529A discloses a cold chain transport effectiveness monitoring system and method, including a vaccine end to be tested, an intelligent terminal and an authentication center, the vaccine end to be tested includes a vaccine product, the vaccine product is provided with a vaccine identification code and a temperature monitoring circuit, the temperature monitoring circuit includes a power module, a temperature threshold start module, a temperature sensor, a logic circuit module, a clock module, an RFID chip and an RFID antenna. It is a handheld terminal designed for harsh cold chain storage environments, capable of operating in refrigerated and frozen environments, it uses special anti-fog device technology and a waterproof infiltration sealing design of the internal structure of the fuselage to avoid instability caused by long-term operation in cold storage, while ensuring continuous normal operation in low temperature environments as low as 20°C.

[0003] However, for cold chain transportation, the temperature required for transported products is different, especially for vaccines. The most important impact of temperature on vaccines is its stability, and the efficiency of vaccines must not be reduced. In addition, during the production and manufacturing process of vaccines, the national drug regulatory authorities have requirements for the production and manufacturing standards of enterprises, requiring vaccines to have a certain stability so that if they are out of the refrigerated environment, they can still ensure that the potency of the drug will not be significantly reduced. This is our main consideration for the refrigeration requirements for vaccines;

[0004] For products transported through the cold chain, temperature monitoring is a key factor. There is a lack of a reasonable method to determine different temperature control times based on the temperature of temporary placement points during the transportation process. Based on this, a solution is now provided. Summary of the invention

[0005] The present invention aims to solve at least one of the technical problems existing in the prior art; to this end, the present invention proposes a cold chain storage environment temperature monitoring system and method.

[0006] A method for monitoring the temperature of a cold chain storage environment, comprising:

[0007] Step 1: Perform temperature zone analysis based on the transported product. The specific methods of temperature zone analysis are as follows:

[0008] S1: First, obtain several transportation records corresponding to the inertia time period of this type of transportation product, and the transportation records include unloading temperature zone and simulated variable value;

[0009] S2: After that, all the pseudo-variable values ​​are obtained and analyzed. According to the distribution range of the pseudo-variable values, if the pseudo-variable value aggregation degree is high, the recognized variable value is automatically determined;

[0010] S3: Otherwise, obtain the temperature corresponding to the minimum value in all the unloading temperature zones, mark it as the lower limit temperature, and mark the temperature corresponding to the maximum value in all the unloading temperature zones as the upper limit temperature;

[0011] S4: Starting from the lower limit temperature, each time the temperature increases by X2, it is divided into a temperature setting interval until the temperature reaches the upper limit value, and then several temperature setting intervals are obtained; X2 is the preset value;

[0012] S5: Then, the temperature setting interval and the simulated change value are identified and associated. If the temperature overlap range between the temperature setting interval and the temperature unloading zone exceeds X3, the corresponding simulated change value of the temperature unloading zone is assigned to the corresponding temperature setting interval to obtain several temperature change values ​​of the temperature setting interval;

[0013] S6: Select any temperature setting interval, obtain all the corresponding temperature change values, mark them as Ki, i=1, ..., m, indicating that there are m temperature change values; automatically calculate the mean value Pk corresponding to Ki, calculate the absolute value of the difference between all Ki and the mean value Pk, and sum the obtained values, divide the sum by n, and mark the obtained value as the deviation value W;

[0014] When W value is ≤X1, Pk is automatically marked as the recognized temperature change value of the corresponding temperature setting interval. Otherwise, Ki is automatically selected from large to small according to |Ki-P|. After each Ki is selected, it is deleted. After deletion, the W value of the remaining Ki is recalculated. If W≤X1 is still not satisfied, the next Ki is selected in sequence until W≤X1 is reached to obtain the recognized temperature change value of the corresponding temperature setting interval.

[0015] S7: Then, the same process as step S6 is performed on the remaining temperature setting intervals to obtain the recognized temperature change values ​​of all temperature setting intervals.

[0016] Furthermore, before proceeding to step 1, the following steps need to be performed:

[0017] Set up the working environment, specifically:

[0018] It includes the transport object and the transfer object. The transport object refers to the corresponding cold chain transport tool, also refers to the cold chain transport vehicle, and the transfer object refers to the place where the corresponding cold chain transport tool is transferred and stored after transportation.

[0019] The transport object is provided with a weight acquisition unit for acquiring the weight information of the transported product, and the transported product refers to the product that needs to be transported by means of a cold chain.

[0020] Further, in step S1:

[0021] The inertia time period refers to the time period T1 from the current time forward, where T1 is the preset value;

[0022] The unloading temperature zone refers to the temperature range from the minimum temperature to the maximum temperature of the transfer location during the period from unloading the transported product to transferring to the storage location; the transfer location is the area where the transported product is temporarily placed, waiting to be transferred to the transfer object;

[0023] The pseudo variable value refers to the average speed of temperature download within the unloading temperature zone. It is obtained by obtaining the temperature difference in the transport box where the corresponding transport product is located from the temperature in the transport object to the temperature when it is transferred to the transfer object, and then dividing the temperature difference by the unloading time.

[0024] Furthermore, the specific method of determining the variable value in step S2 is:

[0025] Mark it as Ni, i=1,...,n, directly obtain the mean value of Ni, and mark it as P;

[0026] Calculate the absolute value of all differences between Ni and P, sum the obtained values, divide the sum by n, and mark the obtained value as the deviation value W;

[0027] When W value ≤ X1, X1 is the preset value, and the mean P of the simulated variable value is automatically marked as the recognized variable value.

[0028] Furthermore, in step S5, the association method is determined to be:

[0029] First, all temperature setting intervals are obtained, and one temperature setting interval is selected. Then, the temperature setting interval is obtained. When the temperature overlap range between the temperature setting interval and any unloading temperature zone exceeds X3, the simulated change value of the corresponding unloading temperature zone is assigned to the corresponding temperature setting interval, and the simulated change value is re-marked as the temperature change value of the temperature setting interval. The corresponding temperature setting interval will obtain several temperature change values; X3 is a preset value, and X3<1;

[0030] Here, the temperature overlap range refers to obtaining the overlap range between the unloading temperature zone and the temperature setting zone, and subtracting the minimum value from the maximum value of the overlapping range to obtain the weighted value, and at the same time subtracting the minimum value from the maximum value of the unloading temperature zone to obtain the unloading value, and dividing the weighted value by the unloading value to obtain the temperature overlap range;

[0031] Then, select the next temperature setting interval and repeat the above steps to obtain the temperature change values ​​of all temperature setting intervals.

[0032] Furthermore, after completing step 1, the following steps are required:

[0033] Step 2: Obtain the real-time weight information of all transport products in the transport object and mark it as the actual transport weight;

[0034] Monitor the actual transport weight in real time, obtain the initial actual transport weight, and mark it as the transport value;

[0035] When the actual transport load begins to decrease and the downward change value exceeds X4, X4 becomes the preset value and a unloading signal is generated;

[0036] After that, the actual increased weight of the transfer object is obtained. When the actual increased weight is equal to the transportation value, the unloading completion signal is generated.

[0037] Furthermore, after completing step 2, the following steps are required:

[0038] Step 3: When the unloading signal is detected, the real-time temperature of the transfer location where the unloading is located is obtained, and it is compared with the temperature setting interval to obtain the recognized temperature change value of the corresponding temperature setting interval;

[0039] At the same time, the real-time temperature of the transported product is obtained, the standard temperature range in which the transported product should be stored is obtained, within which the transported product can be guaranteed not to deteriorate, the upper limit of the standard temperature range is obtained, the upper limit is subtracted from the real-time temperature and then divided by the recognized temperature change value, and the result is marked as the controllable time;

[0040] When the unloading signal is generated, the timing will be automatically started. If the unloading completion signal is not generated after a controllable time, an alarm will be automatically sounded.

[0041] A cold chain storage environment temperature monitoring system, which adopts the above-mentioned cold chain storage environment temperature monitoring method to monitor the cold chain storage environment temperature.

[0042] Compared with the prior art, the present invention has the following beneficial effects:

[0043] The present invention obtains several transport records corresponding to the inertia time period of the transported products by performing temperature zone analysis according to the transported products, and the transport records include the unloading temperature zone and the simulated change value; then all the simulated change values ​​are obtained, and the simulated change values ​​are analyzed. According to the distribution range of the simulated change values, if the simulated change value aggregation degree is high, the confirmed change value is automatically determined; otherwise, the temperature corresponding to the minimum value in all the unloading temperature zones is obtained, and it is marked as the lower limit temperature, and the temperature corresponding to the maximum value in all the unloading temperature zones is marked as the upper limit temperature; according to the records, the confirmed temperature change values ​​of all temperature setting intervals are obtained;

[0044] Then, according to different environments and monitoring conditions, it is determined when to start unloading, and analysis is started when unloading starts. If the safety time is exceeded under different environments, an alarm is automatically issued. The present invention is simple, effective, and easy to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 It is a flow chart of the monitoring method of the present invention. DETAILED DESCRIPTION

[0046] The technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figure 1 The present application provides a method for monitoring the temperature of a cold chain storage environment, which specifically includes the following steps:

[0048] Step 1: Set up the working environment, specifically:

[0049] It includes the transport object and the transfer object. The transport object refers to the corresponding cold chain transport tool, also refers to the cold chain transport vehicle, and the transfer object refers to the place where the corresponding cold chain transport tool is transferred and stored after transportation.

[0050] The transport object is provided with a weight acquisition unit for acquiring the weight information of the transport product, and the transport product refers to the product that needs to be transported by cold chain;

[0051] Step 2: Perform temperature zone analysis based on the transported product. The specific methods of temperature zone analysis are as follows:

[0052] S1: First, obtain several transportation records corresponding to the inertia time period of this type of transportation product, and the transportation records include unloading temperature zone and simulated variable value;

[0053] Here, the inertia time period refers to the time period T1 from the current time forward;

[0054] The unloading temperature zone refers to the temperature range from the minimum temperature to the maximum temperature of the transfer location during the period from unloading the transported product to transferring to the storage location; the transfer location is the area where the transported product is temporarily placed, waiting to be transferred to the transfer object;

[0055] The pseudo variable value refers to the average speed of temperature download within the unloading temperature zone, which is obtained by obtaining the temperature difference between the temperature in the transport box where the corresponding transport product is located and the temperature when it is transferred to the transfer object, and then subtracting the unloading time from the temperature difference;

[0056] S2: Then get all the pseudo-variable values ​​and analyze them:

[0057] Mark it as Ni, i=1,...,n, directly obtain the mean value of Ni, and mark it as P;

[0058] Calculate the absolute value of all differences between Ni and P, sum the obtained values, divide the sum by n, and mark the obtained value as the deviation value W;

[0059] When W value ≤ X1, X1 is a preset value, and the mean value P of the simulated variable value is automatically marked as the recognized variable value; otherwise, the analysis of step S3 is performed;

[0060] S3: Obtain the temperature corresponding to the minimum value in all the unloading temperature zones, mark it as the lower limit temperature, and mark the temperature corresponding to the maximum value in all the unloading temperature zones as the upper limit temperature;

[0061] For example, if the temperature is -1℃, -13℃, -4℃, -8℃, -17℃, -18℃, 4℃, 3℃, 2℃, 5℃, 7℃, then the temperature corresponding to the minimum value is -18℃, and the temperature corresponding to the maximum value is 7℃, then the lower limit temperature = -18℃, and the upper limit temperature = 7℃;

[0062] S4: Starting from the lower limit temperature, each time the temperature increases by X2, it is divided into a temperature setting interval until the temperature reaches the upper limit value, and then several temperature setting intervals are obtained; X2 is the preset value;

[0063] S5: Then, the temperature setting interval and the simulated variable value are identified and associated. The identification and association method is:

[0064] First, all temperature setting intervals are obtained, and one temperature setting interval is selected. Then, the temperature setting interval is obtained. When the temperature overlap range between the temperature setting interval and any unloading temperature zone exceeds X3, the simulated change value of the corresponding unloading temperature zone is assigned to the corresponding temperature setting interval, and the simulated change value is re-marked as the temperature change value of the temperature setting interval. The corresponding temperature setting interval will obtain several temperature change values; X3 is a preset value, and X3<1;

[0065] Here, the temperature overlap range refers to obtaining the overlap range between the unloading temperature zone and the temperature setting zone, and subtracting the minimum value from the maximum value of the overlapping range to obtain the weighted value, and at the same time subtracting the minimum value from the maximum value of the unloading temperature zone to obtain the unloading value, and dividing the weighted value by the unloading value to obtain the temperature overlap range;

[0066] Then, select the next temperature setting interval and repeat the above steps to obtain the temperature change values ​​of all temperature setting intervals;

[0067] S6: Select any temperature setting interval, obtain all the corresponding temperature change values, mark them as Ki, i=1, ..., m, indicating that there are m temperature change values; automatically calculate the mean value Pk corresponding to Ki, calculate the absolute value of the difference between all Ki and the mean value Pk, and sum the obtained values, divide the sum by n, and mark the obtained value as the deviation value W;

[0068] When W value is ≤X1, Pk is automatically marked as the recognized temperature change value of the corresponding temperature setting interval. Otherwise, Ki is automatically selected from large to small according to |Ki-P|. After each Ki is selected, it is deleted. After deletion, the W value of the remaining Ki is recalculated. If W≤X1 is still not satisfied, the next Ki is selected in sequence until W≤X1 is reached to obtain the recognized temperature change value of the corresponding temperature setting interval.

[0069] S7: Then, the same process as step S6 is performed on the remaining temperature setting intervals to obtain the recognized temperature change values ​​of all temperature setting intervals;

[0070] Step 3: Obtain the real-time weight information of all transport products in the transport object and mark it as the actual transport weight;

[0071] Monitor the actual transport weight in real time, obtain the initial actual transport weight, and mark it as the transport value;

[0072] When the actual transport load begins to decrease and the downward change value exceeds X4, X4 becomes the preset value and a unloading signal is generated;

[0073] After that, the actual weight of the transferred object is obtained. When the actual weight is equal to the transport value, a signal for completion of unloading is generated.

[0074] Step 4: When the unloading signal is detected, the real-time temperature of the transfer location where the unloading is located is obtained, and it is compared with the temperature setting interval to obtain the recognized temperature change value of the corresponding temperature setting interval;

[0075] At the same time, the real-time temperature of the transported product is obtained, the standard temperature range in which the transported product should be stored is obtained, within which the transported product can be guaranteed not to deteriorate, the upper limit of the standard temperature range is obtained, the upper limit is subtracted from the real-time temperature and then divided by the recognized temperature change value, and the result is marked as the controllable time;

[0076] When the unloading signal is generated, the timing will be automatically started. If the unloading completion signal is not generated after a controllable time, an alarm will be automatically sounded, indicating that the temperature inside the transported product is about to become uncontrollable and requires emergency treatment.

[0077] Of course, the present application also provides a cold chain storage environment temperature monitoring system, which adopts the aforementioned cold chain storage environment temperature monitoring method to perform cold chain storage environment temperature monitoring.

[0078] Some of the data in the above formula are calculated by removing the dimensions and taking their numerical values. The formula is a formula that is closest to the actual situation obtained by software simulation of a large amount of collected data; the preset parameters and preset thresholds in the formula are set by technical personnel in this field according to actual conditions or obtained through simulation of a large amount of data.

[0079] The above embodiments are only used to illustrate the technical method of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical method of the present invention.

Claims

1. A method for monitoring the temperature of a cold chain storage environment, characterized in that: include: Step 1: Perform temperature zone analysis based on the transported product. The specific methods of temperature zone analysis are as follows: S1: First, obtain several transportation records corresponding to the inertia time period of this type of transportation product, and the transportation records include unloading temperature zone and quasi-variable value; S2: After that, all the pseudo-variable values ​​are obtained and analyzed. According to the distribution range of the pseudo-variable values, if the pseudo-variable value aggregation degree is high, the recognized variable value is automatically determined; the specific method for determining the recognized variable value is: Mark the pseudo-variable value as Ni, i=1,...,n, directly obtain the mean value of Ni and mark it as P; Calculate the absolute value of all differences between Ni and P, sum the obtained values, divide the sum by n, and mark the obtained value as the deviation value W; When W value ≤ X1, X1 is the preset value, and the mean value P of the quasi-variable value is automatically marked as the recognized variable value; S3: Otherwise, obtain the temperature corresponding to the minimum value in all the unloading temperature zones, mark it as the lower limit temperature, and mark the temperature corresponding to the maximum value in all the unloading temperature zones as the upper limit temperature; S4: Starting from the lower limit temperature, each time the temperature increases by X2, it is divided into a temperature setting interval until the temperature reaches the upper limit value, and then several temperature setting intervals are obtained; X2 is the preset value; S5: Then, the temperature setting interval and the simulated change value are identified and associated. If the temperature overlap range between the temperature setting interval and the temperature unloading zone exceeds X3, the corresponding simulated change value of the temperature unloading zone is assigned to the corresponding temperature setting interval to obtain several temperature change values ​​of the temperature setting interval; S6: Select any temperature setting interval, obtain all the corresponding temperature change values, mark them as Ki, i=1, ..., m, indicating that there are m temperature change values; automatically calculate the mean value Pk corresponding to Ki, calculate the absolute value of the difference between all Ki and the mean value Pk, and sum the obtained values, divide the sum by n, and mark the obtained value as the deviation value W; When W value is ≤X1, Pk is automatically marked as the recognized temperature change value of the corresponding temperature setting interval. Otherwise, Ki is automatically selected from large to small according to |Ki-P|. After each Ki is selected, it is deleted. After deletion, the W value of the remaining Ki is recalculated. If W≤X1 is still not satisfied, the next Ki is selected in sequence until W≤X1 is reached to obtain the recognized temperature change value of the corresponding temperature setting interval. S7: Then, the same process as step S6 is performed on the remaining temperature setting intervals to obtain the recognized temperature change values ​​of all temperature setting intervals.

2. A cold chain storage environment temperature monitoring method according to claim 1, characterized in that: Before proceeding to step 1, you need to perform the following steps: Set up the working environment, specifically: It includes the transport object and the transfer object. The transport object refers to the corresponding cold chain transport tool, also refers to the cold chain transport vehicle, and the transfer object refers to the place where the corresponding cold chain transport tool is transferred and stored after the transportation is completed; The transport object is provided with a weight acquisition unit for acquiring the weight information of the transported product, and the transported product refers to the product that needs to be transported by means of a cold chain.

3. A cold chain storage environment temperature monitoring method according to claim 1, characterized in that: In step S1: The inertia time period refers to the time period T1 from the current time forward; The unloading temperature zone refers to the temperature range from the minimum temperature to the maximum temperature of the transfer location during the period from unloading the transported product to transferring to the storage location; the transfer location is the area where the transported product is temporarily placed, waiting to be transferred to the transfer object; The pseudo variable value refers to the average speed of temperature download within the unloading temperature zone. It is obtained by obtaining the temperature difference in the transport box where the corresponding transport product is located from the temperature in the transport object to the temperature when it is transferred to the transfer object, and then dividing the temperature difference by the unloading time.

4. A cold chain storage environment temperature monitoring method according to claim 1, characterized in that: In step S5, the association method is determined as: First, all temperature setting intervals are obtained, and one temperature setting interval is selected. Then, the temperature setting interval is obtained. When the temperature overlap range between the temperature setting interval and any unloading temperature zone exceeds X3, the simulated change value of the corresponding unloading temperature zone is assigned to the corresponding temperature setting interval, and the simulated change value is re-marked as the temperature change value of the temperature setting interval. The corresponding temperature setting interval will obtain several temperature change values; X3 is a preset value, and X3<1; Here, the temperature overlap range refers to obtaining the overlap range between the unloading temperature zone and the temperature setting zone, and subtracting the minimum value from the maximum value of the overlapping range to obtain the weighted value, and at the same time subtracting the minimum value from the maximum value of the unloading temperature zone to obtain the unloading value, and dividing the weighted value by the unloading value to obtain the temperature overlap range; Then, select the next temperature setting interval and repeat the above steps to obtain the temperature change values ​​of all temperature setting intervals.

5. A cold chain storage environment temperature monitoring method according to claim 1, characterized in that: After completing step 1, you need to perform the following steps: Step 2: Obtain the real-time weight information of all transport products in the transport object and mark it as the actual transport weight; Monitor the actual transport weight in real time, obtain the initial actual transport weight, and mark it as the transport value; When the actual transport load begins to decrease and the downward change value exceeds X4, X4 becomes the preset value and a unloading signal is generated; After that, the actual increased weight of the transfer object is obtained. When the actual increased weight is equal to the transportation value, the unloading completion signal is generated.

6. A method for monitoring the temperature of a cold chain storage environment according to claim 5, characterized in that: After completing step 2, you need to perform the following steps: Step 3: When the unloading signal is detected, the real-time temperature of the transfer location where the unloading is located is obtained, and it is compared with the temperature setting interval to obtain the recognized temperature change value of the corresponding temperature setting interval; At the same time, the real-time temperature of the transported product is obtained, the standard temperature range in which the transported product should be stored is obtained, within which the transported product can be guaranteed not to deteriorate, the upper limit of the standard temperature range is obtained, the upper limit is subtracted from the real-time temperature and then divided by the recognized temperature change value, and the result is marked as the controllable time; When the unloading signal is generated, the timing will be automatically started. If the unloading completion signal is not generated after a controllable time, an alarm will be automatically sounded.

7. A cold chain storage environment temperature monitoring system, characterized in that: The system adopts the cold chain storage environment temperature monitoring method as described in any one of claims 1-6 to monitor the cold chain storage environment temperature.

Images