A temperature early warning system for storage tanks

Abstract

The present invention relates to the technical field of temperature early warning, and specifically discloses a temperature early warning system for a material storage tank, the system comprising: an area division module, for dividing a warehouse into a plurality of areas, and each area has and has only one refrigeration device; a data acquisition module, for respectively acquiring the operating status data of the refrigeration devices in all areas, and making different levels of early warnings according to the risk level of the operating status of the refrigeration devices by accurately judging the operating status of the refrigeration devices, and taking corresponding countermeasures according to the different levels of early warning warnings, so that not only can the refrigeration equipment be adjusted and repaired in time to ensure the refrigeration effect, but also the temperature change of the material storage tank can be warned in advance, so as to realize the early warning of the internal temperature of the material storage tank, thereby improving the efficiency and accuracy of the early warning, and enabling management personnel to discover and deal with potential risks more quickly and accurately.

Description

Technical Field

[0001] The invention relates to the technical field of temperature early warning, and in particular to a temperature early warning system for a storage tank. Background Art

[0002] Petroleum is a viscous, dark brown liquid known as the "blood of industry". The development of the chemical industry is inseparable from this important raw material. With the development of the global economy and the increasing demand for energy and chemicals, the demand for petroleum is also growing. At the same time, the limited nature of petroleum resources also requires the chemical industry to find alternative raw materials and develop new technologies to ensure the sustainable development of the industry.

[0003] As an indispensable raw material for the chemical industry, petroleum is stored in storage tanks after mining and piled in warehouses. Since petroleum is a flammable substance, excessively high temperatures may cause petroleum to volatilize and evaporate, increasing the risk of fire. Therefore, during the storage process, multiple sets of refrigeration equipment will be installed to control the temperature in the warehouse to ensure that the stored petroleum products are within the appropriate temperature range to maintain their quality and stability. The temperature of the storage tanks is monitored through a temperature early warning system. Once an abnormal temperature rise is detected, an alarm will be issued immediately so that preventive measures can be taken in time.

[0004] The existing temperature warning system usually monitors the temperature of the storage tank to realize the monitoring of the oil temperature inside the storage tank. However, the warning system can only issue an alarm when the temperature of the storage tank changes. If there is a problem with the refrigeration work of the refrigeration equipment, the temperature of the storage tank will change after a period of time. At this time, the common temperature warning system will not issue an advance warning, resulting in the staff being unable to adjust the refrigeration temperature of the refrigeration equipment in time, or to inspect the refrigeration equipment to ensure the stability of the temperature of the storage tank, which in turn leads to risks in the storage of oil. Summary of the invention

[0005] The purpose of the present invention is to provide a storage tank temperature early warning system to solve the following technical problems:

[0006] How to provide early warning of temperature changes in storage tanks and respond in a timely manner.

[0007] The purpose of the present invention can be achieved through the following technical solutions:

[0008] A storage tank temperature early warning system, the system comprising:

[0009] The area division module is used to divide the warehouse into multiple areas, and each area has only one refrigeration device;

[0010] A data collection module is used to collect the operating status data of the refrigeration equipment in all areas;

[0011] A data processing module is used to calculate the operating status risk index of the refrigeration equipment in each area according to the collected operating status data of the refrigeration equipment;

[0012] An analysis and comparison module is used to compare the calculated operating state risk index of the refrigeration equipment with a preset operating state risk index threshold range, and judge whether the operating state of the refrigeration equipment is good or not according to the comparison result;

[0013] The early warning module decides whether to issue an early warning and the level of the early warning according to the judgment result of whether the operating status of the refrigeration equipment is good.

[0014] Furthermore, the data collected by the data acquisition module include the power supply voltage, noise value, condensation temperature, and area of ​​different regions and the number of storage tanks of the refrigeration equipment, which are used to provide accurate data for the data processing module.

[0015] Furthermore, the calculation process of the operating status risk index of the refrigeration equipment includes:

[0016] By formula Calculate the risk index A of the refrigeration equipment operation status in the xth area during a data collection. x :

[0017] Where x is any region, GDY x is the power supply voltage of the refrigeration equipment in the xth area during a data collection, GDY1 is the preset standard power supply voltage of the refrigeration equipment, β x is the current fluctuation influence coefficient of the refrigeration equipment in the xth area during a data collection, ZY x is the noise value of the refrigeration equipment in the xth area in a data collection, ZY1 is the preset standard noise value of the refrigeration equipment, a is any condensation temperature collection position in the xth area, b is the total number of condensation temperature collection positions in the xth area, and a∈[1,b], LN a is the condensing temperature of the refrigeration equipment at the ath collection position in the xth area in a data collection, For all LN a The average value of , y1 and y2 are weight coefficients.

[0018] Furthermore, the analysis and comparison process includes:

[0019] By collecting data once, the operating status risk index A of the refrigeration equipment in all areas x Respectively with the preset operating status risk index threshold interval [A 01 , A 02 ] for comparison;

[0020] If all A x all 01 , the system determines that the operating status of the refrigeration equipment in all areas at the current time is normal, and no warning is needed;

[0021] If any A x ∈[A 01 , A 02 ], the system determines that the operating status of the refrigeration equipment in the area at the current time point is low risk, and issues a first-level warning through the early warning module;

[0022] If any A x >A 02 ,The system determines that the operating status of the refrigeration equipment in the area at the current time point is high-risk, and issues a secondary warning through the early warning module.

[0023] Furthermore, the analysis and comparison process also includes:

[0024] When the system determines that the operating status of the refrigeration equipment in all areas of the data collection is normal, there is no need to issue an early warning through the early warning module. Instead, the system issues an early warning of future temperature changes in the storage tank by calculating the discrete coefficient of the operating status risk index of all refrigeration equipment in the warehouse.

[0025] When the system determines that the operating status of the refrigeration equipment in the xth area in a data collection has a low risk, a first-level warning is issued through the warning module, and the system adjusts the operating temperature of the refrigeration equipment according to the operating status risk index of the refrigeration equipment in the xth area in the data collection;

[0026] When the system determines that there is a high risk in the operating status of the refrigeration equipment in the xth area during a data collection, a secondary warning is issued through the early warning module, that is, the back-end management personnel are warned through the early warning module to arrange maintenance personnel to repair the refrigeration equipment in a timely manner.

[0027] Furthermore, the process of adjusting the operating temperature of the refrigeration equipment includes:

[0028] By formula Calculate and obtain the adjusted operating temperature r of the refrigeration equipment;

[0029] Among them, r Z The standard operating temperature preset for the refrigeration equipment, f L For the adjustment coefficient comparison table function, CLT x is the number of storage tanks in the xth area in a data collection, CLT0 is CLT x Standard value, MG i is the area influence function in the xth region, and μ is the error influence coefficient.

[0030] ​Furthermore, the calculation process of the dispersion coefficient of the operating status risk index of all refrigeration equipment in the warehouse includes:

[0031] By formula Calculate and obtain the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse;

[0032] Among them, k is the total number of divided areas, g is the proportional coefficient, For all A x The average value of A x The maximum value of A x The minimum value of .

[0033] Furthermore, the process of early warning of future temperature changes in the storage tank includes:

[0034] By comparing the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse with the preset discrete coefficient threshold S k Make a comparison;

[0035] If S<S k , the system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is small, and then determines that the probability of temperature changes in the storage tank in the future is small, and no warning is issued;

[0036] If S>S k ,The system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is large, and then determines that the probability of temperature changes in the storage tank in the future is high, and issues a warning.

[0037] Beneficial effects of the present invention:

[0038] (1) The present invention can accurately judge the operating status of the refrigeration equipment, make different levels of warnings according to the risk level of the operating status of the refrigeration equipment, and take corresponding countermeasures according to the different levels of warnings. It can not only adjust and repair the refrigeration equipment in time to ensure the refrigeration effect, but also make early warnings of temperature changes in the storage tank, realize early warning of the internal temperature of the storage tank, improve the efficiency and accuracy of the warning, and enable management personnel to discover and deal with potential risks more quickly and accurately.

[0039] (2) The present invention calculates the operating status risk index of the refrigeration equipment in each area through the data processing module, and compares the calculated operating status risk index of the refrigeration equipment with the preset operating status risk index threshold range through the analysis and comparison module to judge whether the operating status of the refrigeration equipment is good, thereby judging the refrigeration effect of the refrigeration equipment, and when the refrigeration effect of the refrigeration equipment deteriorates, timely inspecting and repairing the refrigeration equipment to ensure the stability of the temperature of the storage tank, thereby achieving early warning of the temperature change of the storage tank and improving the stability of the oil storage inside the storage tank.

[0040] (3) The present invention adjusts the warning level of the warning module according to the risk level of the operating status of the refrigeration equipment, and makes different responses according to different warning levels. It can not only adjust the temperature of the refrigeration equipment in time, or perform maintenance to ensure the refrigeration effect, but also make early warnings of temperature changes in the storage tank, realize early warning of the internal temperature of the storage tank, improve the efficiency and accuracy of the warning, and enable management personnel to discover and deal with potential risks and problems in time, thereby avoiding the expansion of faults and the increase of maintenance costs.

[0041] (4) The present invention compares the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse with the preset discrete coefficient threshold S k By comparing the volatility of the operating status risk index of all refrigeration equipment in the warehouse, the probability of future temperature changes in the storage tank can be judged, thereby providing early warning of temperature changes in the storage tank, improving warning efficiency and accuracy, and enabling managers to discover and deal with potential risks more quickly and accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below in conjunction with the accompanying drawings.

[0043] Figure 1 It is a schematic block diagram of a temperature warning system for a storage tank in the present invention; DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not 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.

[0045] See also Figure 1 As shown, in one embodiment, the present application provides a storage tank temperature early warning system, the system comprising:

[0046] The area division module is used to divide the warehouse into multiple areas, and each area has only one refrigeration device;

[0047] A data collection module is used to collect the operating status data of the refrigeration equipment in all areas;

[0048] A data processing module is used to calculate the operating status risk index of the refrigeration equipment in each area according to the collected operating status data of the refrigeration equipment;

[0049] An analysis and comparison module is used to compare the calculated operating state risk index of the refrigeration equipment with a preset operating state risk index threshold range, and judge whether the operating state of the refrigeration equipment is good or not according to the comparison result;

[0050] The early warning module decides whether to issue an early warning and the level of the early warning according to the judgment result of whether the operating status of the refrigeration equipment is good;

[0051] Through the above technical solution, this embodiment can divide the warehouse into multiple areas by setting up an area division module, and ensure that there is one and only one refrigeration equipment in each area, and then the operating status data of the refrigeration equipment in all areas are collected respectively through the data acquisition module, and then the operating status risk index of the refrigeration equipment in each area is calculated respectively through the data processing module according to the collected operating status data of the refrigeration equipment, and the calculated operating status risk index of the refrigeration equipment is compared with the preset operating status risk index threshold range through the analysis and comparison module, and whether the operating status of the refrigeration equipment is good is judged according to the comparison result, and then the early warning module is used to judge the result according to whether the operating status of the refrigeration equipment is good, and decide whether to issue an early warning and the level of the early warning issued;

[0052] Through such settings, the system calculates the operating status risk index of the refrigeration equipment in each area through the data processing module, and compares the calculated operating status risk index of the refrigeration equipment with the preset operating status risk index threshold range through the analysis and comparison module to judge whether the operating status of the refrigeration equipment is good, thereby judging the refrigeration effect of the refrigeration equipment, and when the refrigeration effect of the refrigeration equipment deteriorates, timely repair the refrigeration equipment to ensure the stability of the temperature of the storage tank, thereby achieving early warning of the temperature change of the storage tank and improving the stability of the oil storage inside the storage tank;

[0053] And because the early warning module is set with multiple early warning levels, the staff can accurately respond according to the early warning level issued by the early warning module, including adjusting the temperature of the refrigeration equipment or repairing the refrigeration equipment, thereby ensuring the refrigeration stability of the refrigeration equipment and further ensuring the stability of the oil storage inside the storage tank.

[0054] The data collected by the data acquisition module include the power supply voltage, noise value, condensing temperature of the refrigeration equipment, and the area of ​​different regions and the number of storage tanks, which are used to provide accurate data for the data processing module;

[0055] Through the above technical scheme, this embodiment collects data such as the power supply voltage, noise value, condensing temperature, area of ​​different regions and the number of storage tanks of the refrigeration equipment through the data acquisition module, so as to provide accurate data for the subsequent data processing module to calculate the operating status risk index of the refrigeration equipment in each region respectively, thereby improving the accuracy of the judgment of the operating status of the refrigeration equipment and ensuring that the system can make accurate early warnings for temperature changes in the storage tanks.

[0056] The calculation process of the operating status risk index of the refrigeration equipment includes:

[0057] By formula Calculate the risk index A of the refrigeration equipment operation status in the xth area during a data collection. x :

[0058] Where x is any region, GDY x is the power supply voltage of the refrigeration equipment in the xth area during a data collection, GDY1 is the preset standard power supply voltage of the refrigeration equipment, β x is the current fluctuation influence coefficient of the refrigeration equipment in the xth area in a data collection, which can be obtained based on the test according to the influence of the current fluctuation influence coefficient on the risk index of the refrigeration equipment operation status, ZY x is the noise value of the refrigeration equipment in the xth area in a data collection, ZY1 is the preset standard noise value of the refrigeration equipment, a is any condensation temperature collection position in the xth area, b is the total number of condensation temperature collection positions in the xth area, and a∈[1,b], LN a is the condensing temperature of the refrigeration equipment at the ath collection position in the xth area in a data collection, For all LN a The average value of y1 and y2 are weight coefficients, which can be set according to empirical fitting;

[0059] Through the above technical solution, this embodiment provides the refrigeration equipment operation status risk index A in the xth area in a data collection. x , can be obtained by formula It is obvious that in a data collection, the lower the power supply voltage of the refrigeration equipment in the xth area, and the greater the influence coefficient of the refrigeration equipment current fluctuation, the noise value and the dispersion coefficient of the refrigeration equipment condensation temperature, the higher the risk index A of the refrigeration equipment operation status in the xth area.x The larger the value, the worse the refrigeration effect of the refrigeration equipment in the xth area, and the refrigeration equipment may even be damaged. After a period of time, the temperature inside the storage tank will change. At this time, the system will issue an early warning through the early warning device. On the contrary, when the power supply voltage of the refrigeration equipment in the xth area is higher, and the influence coefficient of the current fluctuation of the refrigeration equipment, the noise value and the dispersion coefficient of the condensation temperature of the refrigeration equipment are smaller, the risk index A of the operation status of the refrigeration equipment in the xth area is higher. x The smaller it is, the better the refrigeration effect in the xth area is, and the temperature inside the storage tank is relatively stable and will not change, so there is no need to issue an early warning through the early warning device;

[0060] Through such a setting, the operating status risk index of the refrigeration equipment can be accurately calculated, so as to make a preliminary judgment on the operating status of the refrigeration equipment, and decide whether to issue an early warning based on the judgment result, so as to ensure the stability of the operation of the refrigeration equipment. In addition, based on the preliminary judgment on the operating status of the refrigeration equipment, early warning of temperature changes in the storage tank can be achieved, thereby improving the efficiency and accuracy of the early warning, effectively preventing the occurrence of fire and explosion, thereby protecting personnel safety and reducing property losses.

[0061] The analysis and comparison process includes:

[0062] By collecting data once, the operating status risk index A of the refrigeration equipment in all areas x Respectively with the preset operating status risk index threshold interval [A 01 , A 02 ] for comparison;

[0063] If all A x all 01 , the system determines that the operating status of the refrigeration equipment in all areas at the current time is normal, and no warning is needed;

[0064] If any A x ∈[A 01 , A 02 ], the system determines that the operating status of the refrigeration equipment in the area at the current time point is low risk, and issues a first-level warning through the early warning module;

[0065] If any A x >A 02 , the system determines that the operating status of the refrigeration equipment in the area at the current time point is at high risk, and issues a secondary warning through the early warning module;

[0066] Through the above technical solution, this embodiment calculates the operating status risk index A of the refrigeration equipment in all areas in a data collection. x Respectively with the preset operating status risk index threshold interval [A​01 , A 02 ] to compare, if all A x all 01 , the system determines that the operating status of the refrigeration equipment in all areas at the current time is normal, and no warning is needed;

[0067] If any A x ∈[A 01 , A 02 ], the system determines that the operating status of the refrigeration equipment in the area at the current time point is at low risk, and issues a first-level warning through the early warning module, and adjusts the operating temperature of the refrigeration equipment according to the operating status risk index of the refrigeration equipment in the xth area in this data collection;

[0068] If any A x >A 02 The system determines that the operating status of the refrigeration equipment in the area at the current time point is at high risk, and issues a secondary warning through the early warning module, which alerts the back-end management personnel to arrange maintenance personnel to repair the refrigeration equipment in a timely manner;

[0069] Through this judgment method, the operating status of the refrigeration equipment can be accurately judged, and different levels of warnings can be made according to the risk level of the operating status of the refrigeration equipment. According to the different levels of warnings, corresponding response measures can be taken, which can not only timely adjust and repair the refrigeration equipment to ensure the refrigeration effect, but also make early warnings of temperature changes in the storage tank, realize early warning of the internal temperature of the storage tank, improve the efficiency and accuracy of the warning, and enable managers to discover and deal with potential risks more quickly and accurately;

[0070] It should be noted that the above preset operating status risk index threshold range [A 01 , A 02 ] can be set based on empirical fitting.

[0071] The analysis and comparison process also includes:

[0072] When the system determines that the operating status of the refrigeration equipment in all areas of the data collection is normal, there is no need to issue an early warning through the early warning module. Instead, the system issues an early warning of future temperature changes in the storage tank by calculating the discrete coefficient of the operating status risk index of all refrigeration equipment in the warehouse.

[0073] When the system determines that the operating status of the refrigeration equipment in the xth area in a data collection has a low risk, a first-level warning is issued through the warning module, and the system adjusts the operating temperature of the refrigeration equipment according to the operating status risk index of the refrigeration equipment in the xth area in the data collection;

[0074] ​When the system determines that the operating status of the refrigeration equipment in the xth area in a data collection is at high risk, a secondary warning is issued through the early warning module, that is, the back-end management personnel are warned through the early warning module to arrange maintenance personnel to repair the refrigeration equipment in time;

[0075] Through the above technical solution, when the system determines that the operating status of the refrigeration equipment in all areas in a data collection is normal, there is no need to issue an early warning through the early warning module, and by calculating the discrete coefficient of the operating status risk index of all refrigeration equipment in the warehouse, an early warning is issued for the future temperature change of the storage tank; when the system determines that the operating status of the refrigeration equipment in the kth area in a data collection is at low risk, a first-level early warning is issued through the early warning module, and the system adjusts the operating temperature of the refrigeration equipment according to the operating status risk index of the refrigeration equipment in the xth area in the data collection; when the system determines that the operating status of the refrigeration equipment in the xth area in a data collection is at high risk, a second-level early warning is issued through the early warning module, that is, the back-end management personnel are warned through the early warning module, and the back-end management personnel are reminded to arrange maintenance personnel to repair the refrigeration equipment in time;

[0076] Through such settings, the warning level of the warning module can be adjusted according to the risk level of the operating status of the refrigeration equipment, and different responses can be made according to different warning levels. Not only can the temperature of the refrigeration equipment be adjusted in time, or maintenance can be carried out to ensure the refrigeration effect, but also early warning can be given for temperature changes in the storage tank, and early warning of the internal temperature of the storage tank can be achieved, which improves the efficiency and accuracy of the warning and enables managers to discover and deal with potential risks more quickly and accurately.

[0077] The process of adjusting the operating temperature of the refrigeration equipment comprises:

[0078] By formula Calculate and obtain the adjusted operating temperature r of the refrigeration equipment;

[0079] Among them, r Z The standard operating temperature preset for the refrigeration equipment, f L is the adjustment coefficient comparison table function. The above adjustment coefficient comparison table function can be based on The influence of the value range of the adjusted refrigeration equipment operating temperature on the fitting setting, CLT x is the number of storage tanks in the xth area in a data collection, CLT0 is CLT x The standard value can be set according to the allowable error fitting in the empirical data. iis the area influence function in the x-th region, the area influence function can be set based on test fitting according to the influence of the area size of different regions on the adjusted operating temperature of the refrigeration equipment, μ is the error influence coefficient, and the above error influence coefficient can be set based on empirical fitting;

[0080] Through the above technical solution, this embodiment provides an adjusted refrigeration equipment operating temperature r, which can be expressed by the formula It is calculated that through such settings, when the system determines that there is a low risk in the operating status of the refrigeration equipment in the x-th area in a data collection, the early warning module will first make an early warning of the temperature change of the storage tank, and calculate the adjusted operating temperature of the refrigeration equipment through the data processing unit according to the number of storage tanks in the x-th area in a data collection and the area influence function in the x-th area. Then, the refrigeration equipment is adjusted again according to the adjusted operating temperature through the early warning module, so as to ensure the temperature stability in the area and further ensure the safety of petroleum storage tanks.

[0081] The calculation process of the discrete coefficient of the operating status risk index of all refrigeration equipment in the warehouse includes:

[0082] By formula Calculate and obtain the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse;

[0083] Among them, k is the total number of divided areas, g is the proportional coefficient, and the above proportional coefficient can be set according to empirical fitting. For all A x The average value of A x The maximum value of A x The minimum value of

[0084] Through the above technical solution, this implementation provides the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse, which can be calculated by the formula It is calculated that through such settings, if the dispersion coefficient of the operating status risk index of all refrigeration equipment in the warehouse is large, it means that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is large, and some of the refrigeration equipment may be aged; if the dispersion coefficient of the operating status risk index of all refrigeration equipment in the warehouse is small, it means that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is small, indicating that the status of all refrigeration equipment in the warehouse is in good condition, and there will be no temperature changes that affect the storage tank in the future.

[0085] The process of early warning of future temperature changes in the storage tank includes:

[0086] By comparing the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse with the preset discrete coefficient threshold S k Make a comparison;

[0087] If S k , the system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is small, and then determines that the probability of temperature changes in the storage tank in the future is small, and no warning is issued;

[0088] If S>S k , the system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is large, and then determines that the probability of temperature changes in the storage tank in the future is high, and issues an early warning;

[0089] Through the above technical solution, this embodiment compares the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse with the preset discrete coefficient threshold S k For comparison, if S k , the system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is small, and then determines that the probability of temperature change in the storage tank in the future is small, and no warning is issued; if S>S k , if the system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is large, it will determine that the probability of temperature changes in the storage tank in the future is high, issue an early warning, and increase the monitoring frequency of the refrigeration equipment in the warehouse;

[0090] By setting it in this way, the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse is compared with the preset discrete coefficient threshold S k By comparing the volatility of the operating status risk index of all refrigeration equipment in the warehouse, the probability of temperature changes in the storage tank in the future can be judged, thereby achieving early warning of temperature changes in the storage tank, improving the efficiency and accuracy of early warning, and enabling managers to discover and deal with potential risks more quickly and accurately;

[0091] It should be noted that the above preset discrete coefficient threshold S k It can be set based on experience fitting.

[0092] The above is a detailed description of an embodiment of the present invention, but the content is only a preferred embodiment of the present invention and cannot be considered to limit the scope of implementation of the present invention. All equivalent changes and improvements made within the scope of the present invention should still fall within the scope of the patent coverage of the present invention.​​

Claims

1. A storage tank temperature early warning system, characterized in that: The system comprises: The area division module is used to divide the warehouse into multiple areas, and each area has only one refrigeration device; A data collection module is used to collect the operating status data of the refrigeration equipment in all areas; A data processing module is used to calculate the operating status risk index of the refrigeration equipment in each area according to the collected operating status data of the refrigeration equipment; An analysis and comparison module is used to compare the calculated operating state risk index of the refrigeration equipment with a preset operating state risk index threshold range, and judge whether the operating state of the refrigeration equipment is good or not according to the comparison result; The early warning module decides whether to issue an early warning and the level of the early warning according to the judgment result of whether the operating status of the refrigeration equipment is good; The calculation process of the operating status risk index of the refrigeration equipment includes: By formula Calculate the risk index A of the refrigeration equipment operation status in the xth area during a data collection. x : Where x is any region, GDY x is the power supply voltage of the refrigeration equipment in the xth area during a data collection, GDY1 is the preset standard power supply voltage of the refrigeration equipment, β x is the current fluctuation influence coefficient of the refrigeration equipment in the xth area in a data collection, which can be obtained based on the test according to the influence of the current fluctuation influence coefficient on the risk index of the refrigeration equipment operation status, ZY x is the noise value of the refrigeration equipment in the xth area in a data collection, ZY1 is the preset standard noise value of the refrigeration equipment, a is any condensation temperature collection position in the xth area, b is the total number of condensation temperature collection positions in the xth area, and a∈[1,b], LN a is the condensing temperature of the refrigeration equipment at the ath collection position in the xth area in a data collection. For all LN a The average value of , y1 and y2 are weight coefficients; The analysis and comparison process includes: By collecting data once, the operating status risk index A of the refrigeration equipment in all areas x Respectively with the preset operating status risk index threshold interval [A 01 , A 02 ] for comparison; If all A x All<A 01 , the system determines that the operating status of the refrigeration equipment in all areas at the current time is normal, and no warning is needed; If any A x ∈[A 01 , A 02 ], the system determines that the operating status of the refrigeration equipment in the area at the current time point is low risk, and issues a first-level warning through the early warning module; If any A x >A 02 , the system determines that the operating status of the refrigeration equipment in the area at the current time point is at high risk, and issues a secondary warning through the early warning module; The analysis and comparison process also includes: When the system determines that the operating status of the refrigeration equipment in all areas of the data collection is normal, there is no need to issue an early warning through the early warning module. Instead, the system issues an early warning of future temperature changes in the storage tank by calculating the discrete coefficient of the operating status risk index of all refrigeration equipment in the warehouse. When the system determines that the operating status of the refrigeration equipment in the xth area in a data collection has a low risk, a first-level warning is issued through the warning module, and the system adjusts the operating temperature of the refrigeration equipment according to the operating status risk index of the refrigeration equipment in the xth area in the data collection; When the system determines that there is a high risk in the operating status of the refrigeration equipment in the xth area during a data collection, a secondary warning is issued through the early warning module, that is, the back-end management personnel are warned through the early warning module to arrange maintenance personnel to repair the refrigeration equipment in a timely manner.

2. A storage tank temperature early warning system according to claim 1, characterized in that: The data collected by the data acquisition module include the power supply voltage, noise value, condensation temperature of the refrigeration equipment, and the area of ​​different regions and the number of storage tanks, which are used to provide accurate data for the data processing module.

3. A storage tank temperature early warning system according to claim 2, characterized in that: The process of adjusting the operating temperature of the refrigeration equipment comprises: By formula Calculate and obtain the adjusted operating temperature r of the refrigeration equipment; Among them, rZ is the preset standard operating temperature of the refrigeration equipment, fL is the adjustment coefficient comparison table function, CLT x is the number of storage tanks in the xth area in a data collection, CLT0 is CLT x Standard value, MG i is the area influence function in the x-th region, and the area influence function can be set based on test fitting according to the influence of the area sizes of different regions on the adjusted operating temperature of the refrigeration equipment, and μ is the error influence coefficient.

4. A storage tank temperature early warning system according to claim 3, characterized in that: The calculation process of the discrete coefficient of the operating status risk index of all refrigeration equipment in the warehouse includes: By formula Calculate and obtain the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse; Among them, k is the total number of divided areas, g is the proportional coefficient, For all A x The average value of A x The maximum value of A x The minimum value of .

5. A storage tank temperature early warning system according to claim 4, characterized in that: The process of early warning of future temperature changes in the storage tank includes: By comparing the discrete coefficient S of the operating status risk index of all refrigeration equipment in the warehouse with the preset discrete coefficient threshold S k Make a comparison; If S k , the system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is small, and then determines that the probability of temperature changes in the storage tank in the future is small, and no warning is issued;​ If S>S k ,The system determines that the volatility of the operating status risk index of all refrigeration equipment in the warehouse is large, and then determines that the probability of temperature changes in the storage tank in the future is high, and issues a warning.

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