Liquid ammonia storage system
By setting up multiple storage tanks in the liquid ammonia storage area and dynamically adjusting the strategy, combined with real-time monitoring and risk assessment of the monitoring and protection units, the safety and energy consumption issues of liquid ammonia storage are solved, and efficient and safe liquid ammonia storage is achieved.
Patent Information
- Application Number
- CN202510786614.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-12
- Publication Date
- 2025-09-30
AI Technical Summary
Existing liquid ammonia storage methods have safety and energy consumption issues. Normal pressure and low temperature storage is safe, but the process is complex and energy consumption is high. Normal temperature and pressurized storage is less safe, but the equipment investment is small and the risk of leakage is high.
Multiple storage tanks are set up in the liquid ammonia storage area, and the storage strategy is dynamically adjusted according to the real-time transportation volume of the liquid ammonia tank trucks. The storage tanks are monitored and risk assessed in real time through monitoring units and protection units. The storage strategy is optimized using correlation models to avoid excessive or low levels of liquid ammonia in a single storage tank and to deal with potential risks in a timely manner.
The transportation efficiency of liquid ammonia from tank trucks to storage tanks is improved, the operating risks and overall operation and maintenance costs of storage tanks are reduced, and the safe operation of the liquid ammonia storage system is ensured.
Smart Images
Figure CN120720530A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of liquid ammonia storage, and in particular to a liquid ammonia storage system. Background Art
[0002] Liquid ammonia is a toxic gas with a pungent odor, which can harm the human body if inhaled. Liquid ammonia is also easily vaporized, flammable, and explosive. During the storage of liquid ammonia, a safe process must be established based on these characteristics to ensure the safety of workers.
[0003] Currently, liquid ammonia storage is generally divided into three types: normal pressure and low temperature storage; normal temperature and pressurized storage; and pressurized low temperature storage. Normal pressure and low temperature storage offers improved safety, but the process is complex and requires a high-powered pressure-maintaining ice machine, resulting in high energy consumption. Normal temperature and pressurized storage offers a simple process, requires minimal equipment investment, and consumes less energy, but carries a high risk of liquid ammonia leakage and is less safe. Summary of the Invention
[0004] The purpose of this application is: to solve the above technical problems, this application provides a liquid ammonia storage system, which aims to reduce the storage cost of liquid ammonia and ensure the safety of liquid ammonia during storage.
[0005] In some embodiments of the present application, by setting up multiple storage tanks in the liquid ammonia storage area and dynamically adjusting the storage strategy according to the real-time transportation volume of the liquid ammonia tank truck, the transportation efficiency of liquid ammonia from the tank truck to the liquid ammonia storage tank is improved, while avoiding the liquid ammonia amount in a single storage tank being too high or too low, reducing the operating risks of each storage tank, and thus reducing the overall operation and maintenance cost of liquid ammonia storage.
[0006] In some embodiments of the present application, an additional protection unit is provided to periodically monitor the operating status of each storage tank to promptly issue early warnings of potential operating risks. At the same time, the protection unit is used to promptly handle potential risks to avoid major safety issues and ensure the safe operation of the liquid ammonia storage system.
[0007] In some embodiments of the present application, a liquid ammonia storage system is provided, characterized by comprising: A storage unit comprising a plurality of storage tanks for storing liquid ammonia; Central control unit, used to set the working parameters of the storage unit; The central control unit is also used to set multiple monitoring points; A monitoring unit, comprising a plurality of monitoring submodules, wherein the monitoring submodules are arranged at respective monitoring points, and the monitoring unit is used to collect operating parameters of the storage unit; A protection unit is connected to the storage unit through a pipeline, and the protection unit is used to control the pressure in each storage tank.
[0008] In some embodiments of the present application, the central control unit includes: The first processing module is used to establish a storage tank sequence A, A=(a1, a2…a i …a n ), where a i is the i-th storage tank; n is the number of storage tanks; The first processing module is further used to establish a correlation model of all storage tanks; The second processing module is used to generate an operation risk value for each storage tank according to a preset detection time node; The third processing module is used to set the working strategy of the storage unit according to the amount of liquid ammonia to be stored.
[0009] In some embodiments of the present application, establishing the association model includes: According to the storage tank sequence A, set ai as the target storage tank in sequence; generating correlation evaluation values between the target storage tank and each storage tank; Establish the associated evaluation value series P, P=(p1, p2…p i …p n ), where p i is the correlation evaluation value between the target storage tank and the i-th storage tank; Preset a first correlation evaluation value interval (P1, P2); If pi is in the first associated evaluation value interval, set ai as the associated storage tank of the target storage tank; Generate a sub-association mapping table of the target storage tank according to all associated storage tanks of the target storage tank; Generate the sub-association mapping table of each storage tank in turn; Establish an association model based on all sub-association mapping tables.
[0010] In some embodiments of the present application, the third processing module is further configured to: Generate liquid ammonia storage capacity W according to the liquid ammonia tank truck parameters; Generate initial evaluation values for each storage tank; Establish the initial evaluation value sequence B, B=(b1,b2…b i …b n ), where b i is the initial evaluation value of the i-th storage tank; Generate storage evaluation values for each storage tank based on the initial evaluation value sequence B; Establish a storage evaluation value sequence C, C=(c1,c2…c i …c n ), where c i is the storage evaluation value of the i-th storage tank; Set the storage tank corresponding to the maximum storage evaluation value in the storage evaluation value sequence C as the marked storage tank; According to the association model, set all associated storage tanks of the marked storage tank as first-level storage tanks; Set the marked storage tank as a first-level storage tank; Establish a first-level storage tank sequence A1, A1=(a 11 , a 12 … a 1i … a 1n1 ), where a 1i is the i-th first-level storage tank; n1 is the number of first-level storage tanks; Generate a first-level storage quantity w1 according to the first-level storage tank sequence A1; If w1>W, generate a first-level storage strategy; If w1<W, generate a second-level storage strategy.
[0011] In some embodiments of the present application, generating the initial evaluation value of each storage tank includes: According to the storage tank sequence A, set a i as the storage tank to be evaluated; Obtain the historical parameters of the storage tank to be evaluated; Generate the initial evaluation value b of the storage tank to be evaluated; [[ID=XX]]b=e1*Q1* (η i *j i )]+e2*Q2*U; Where, e1 is a preset first weight coefficient; e2 is a preset second weight coefficient; Q1 is a preset first fixed coefficient; Q2 is a preset second fixed coefficient; θ is the number of equipment evaluation indicators; η i is the influence factor of the i-th equipment evaluation indicator; j i is the reference value of the i-th equipment evaluation indicator in the storage tank to be evaluated; U is the remaining storage quantity of the storage tank to be evaluated; Generate the initial evaluation value of each storage tank in sequence.
[0012] In some embodiments of the present application, generating the storage evaluation value of each storage tank includes: According to the storage tank sequence A, set a i as the storage tank to be corrected; Obtain all associated storage tanks of the storage tank to be corrected according to the association model; Generate the storage evaluation value c of the storage tank to be corrected; c=e3*Q3*b'+e4*Q4* (b 1i )]; Wherein, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; b' is the initial evaluation value of the storage tank to be corrected; n2 is the number of associated storage tanks of the storage tank to be corrected; b 1i is the initial evaluation value of the i-th associated storage tank of the storage tank to be corrected.
[0013] In some embodiments of the present application, the second processing module is further configured to: Set a in sequence according to the storage tank sequence A i Storage tanks to be monitored; Establish multiple monitoring points based on the equipment parameters of the storage tank to be monitored; Obtain the monitoring data packets of each monitoring point at the current monitoring time node; Generate a risk assessment value f of the storage tank to be monitored at the current monitoring time node based on all monitoring data packets; Generate the risk assessment value of each storage tank at the current monitoring time node in sequence; Establish the risk assessment series F at the current monitoring time node, F=(f1,f2…f i …f n ), where f i is the risk assessment value of the i-th storage tank at the current monitoring time node; Determine whether to generate an early warning instruction based on the risk assessment value sequence F.
[0014] In some embodiments of the present application, generating a risk assessment value f of the storage tank to be monitored at the current detection time node includes: f=e5*Q5* Y(i)*(k i -r*k')]+e6*Q6*[ k i / m]+e7*Q7*V; Among them, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; m is the amount of pressure data collected; k i is the ith pressure value collected; k' is the pressure threshold; r is the correction coefficient set based on the initial evaluation value of the storage tank to be monitored; k i is the ith pressure value collected; V is the temperature anomaly value.
[0015] In some embodiments of the present application, the second processing module is further configured to: Preset the first risk assessment value threshold F1 and the second risk assessment value threshold F2; If f i<F1, The i-th storage tank does not generate a warning instruction at the current monitoring time node; If F1 < f i <F2, The i-th storage tank generates a first-level warning instruction at the current monitoring time node; If f i >F2, The i-th storage tank generates a second-level warning instruction at the current monitoring time node; Set the working parameters of the protection unit at the current monitoring time node according to all the first-level warning instructions and all the second-level warning instructions at the current monitoring time node.
[0016] In some embodiments of the present application, setting the correction coefficient r includes: Obtain the initial evaluation value Δb of the storage tank to be monitored at the current monitoring time node; Preset the first initial evaluation value interval (B1, B2), the second initial evaluation value interval (B2, B3) and the third initial evaluation value interval (B3, B4); If the initial evaluation value Δb is within the preset first initial evaluation value interval, set the correction coefficient r as the preset first correction coefficient r1, that is, r = r1; If the initial evaluation value Δb is within the preset second initial evaluation value interval, set the correction coefficient r as the preset second correction coefficient r2, that is, r = r2; If the initial evaluation value Δb is within the preset third initial evaluation value interval, set the correction coefficient r as the preset third correction coefficient r1, that is, r = r3; and r1 < r2 < r3 < 1.
[0017] Compared with the prior art, the beneficial effects of a liquid ammonia storage system in an embodiment of the present application are as follows: By setting multiple storage tanks in the liquid ammonia storage area and dynamically adjusting the storage strategy according to the real-time transportation volume of the liquid ammonia tank truck, the transportation efficiency of liquid ammonia from the tank truck to the liquid ammonia storage tank is improved. At the same time, the liquid ammonia volume in a single storage tank is prevented from being too high or too low, reducing the operation risks of each storage tank, thereby reducing the overall operation and maintenance costs of liquid ammonia storage.
[0018] The added protection unit monitors the operation status of each storage tank periodically, warns of potential operation risks in a timely manner, and uses the protection unit to process potential risks in a timely manner, avoiding major safety problems and ensuring the safe operation of the liquid ammonia storage system. Brief Description of the Drawings
[0019] Figure 1 It is a schematic structural diagram of a liquid ammonia storage system in a preferred embodiment of an embodiment of the present application. Detailed Embodiments
[0020] The following embodiments are used to illustrate the present invention, but are not intended to limit the scope of the present invention.
[0021] In the description of this application, it should be understood that the terms "center", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc., indicating the orientation or position relationship, are based on the orientation or position relationship shown in the accompanying drawings, and are only for the convenience of describing this application and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on this application.
[0022] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature specified as "first" or "second" may explicitly or implicitly include one or more of such features. Throughout this application, unless otherwise specified, "plurality" means two or more.
[0023] In the description of this application, it should be noted that, unless otherwise expressly specified or limited, the terms "mounted," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; mechanical connections or electrical connections; direct connections or indirect connections through an intermediate medium; and internal connections between two components. Those skilled in the art will understand the specific meanings of the above terms in this application based on the specific circumstances.
[0024] like Figure 1 As shown, a liquid ammonia storage system according to a preferred embodiment of the present application includes: A storage unit, comprising a plurality of storage tanks, wherein the storage tanks are used to store liquid ammonia; Central control unit, used to set the working parameters of the storage unit; The central control unit is also used to set multiple monitoring points; A monitoring unit, comprising a plurality of monitoring submodules, the monitoring submodules being arranged at various monitoring points, and the monitoring unit being used to collect operating parameters of the storage unit; The protection unit is connected to the storage unit through a pipeline, and the protection unit is used to control the pressure in each storage tank.
[0025] Specifically, the storage tank is preferably a normal pressure low-temperature liquid ammonia storage tank, and each low-temperature liquid ammonia storage tank is connected by a pipeline. Normal temperature liquid ammonia is transported from outside the factory to the tank area loading and unloading platform by a tank truck, and is transported to each storage tank through the unloading crane pipe.
[0026] Specifically, the protection unit includes a safety ice machine and a pressure-maintaining ice machine, which are connected to each storage tank. If during the transportation process, the temperature difference between the storage tank, the liquid ammonia pipeline and the environment causes abnormal pressure fluctuations in the pipeline, the safety ice machine will absorb a small amount of gaseous ammonia into the safety ice machine, compress and condense it, and then return it to the storage tank to maintain stable pressure in the tank.
[0027] Specifically, when the pressure in the storage tank exceeds the threshold, the pressure-maintaining ice machine extracts the gaseous ammonia in the tank into the ammonia-liquid separator. The separated gas phase enters the pressure-maintaining ice machine for compression and condensation, and then merges with the liquid phase separated by the ammonia-liquid separator and returns to the liquid ammonia storage tank to ensure that the storage tank will not be seriously over-pressurized.
[0028] Specifically, the monitoring submodule prioritizes temperature sensors and pressure sensors, and sets corresponding sensors according to the data categories required to be collected at each monitoring point.
[0029] Specifically, the central control unit includes: The first processing module is used to establish a storage tank sequence A, A=(a1, a2…a i …a n ), where a i is the i-th storage tank; n is the number of storage tanks; The first processing module is also used to establish a correlation model of all storage tanks; The second processing module is used to generate an operation risk value for each storage tank according to a preset detection time node; The third processing module is used to set the working strategy of the storage unit according to the amount of liquid ammonia to be stored.
[0030] Specifically, according to the storage tank sequence A, ai is set as the target storage tank in sequence; generating correlation evaluation values between the target storage tank and each storage tank; Establish the associated evaluation value series P, P=(p1, p2…p i …p n ), where p i is the correlation evaluation value between the target storage tank and the i-th storage tank; Preset a first correlation evaluation value interval (P1, P2); If pi is in the first associated evaluation value interval, set ai as the associated storage tank of the target storage tank; Generate a sub-association mapping table of the target storage tank according to all associated storage tanks of the target storage tank; Generate the sub-association mapping table of each storage tank in turn; Establish an association model based on all sub-association mapping tables.
[0031] Specifically, the storage unit includes multiple storage groups. All the storage tanks within a single storage group are arranged on the same transportation path, and the transportation paths of different storage groups are different.
[0032] Specifically, according to the positional relationship between the storage tanks and all the transportation path parameters, the correlation evaluation value between each storage tank is set. The storage tanks in the same group are mutually associated storage tanks.
[0033] Specifically, the larger the correlation evaluation value, the lower the time cost required for the tanker truck to switch from one storage tank to another for liquid ammonia storage.
[0034] In the preferred embodiment of this application, the third processing module is further configured to: Generate the liquid ammonia storage quantity W to be stored according to the liquid ammonia tanker truck parameters; Generate the initial evaluation value of each storage tank; Establish an initial evaluation value sequence B, B = (b1, b2... b i ... b n ), where b[[ID=X]] i is the initial evaluation value of the i-th storage tank; Generate the storage evaluation value of each storage tank according to the initial evaluation value sequence B; Establish a storage evaluation value sequence C, C = (c1, c2... c i ... c n ), where c[[ID=X]] i is the storage evaluation value of the i-th storage tank; Set the storage tank corresponding to the maximum storage evaluation value in the storage evaluation value sequence C as the marked storage tank; Set all the associated storage tanks of the marked storage tank as the first-level storage tanks according to the association model; [[ID=X]] Set the marked storage tank as the first-level storage tank; Establish a first-level storage tank sequence A1, A1 = (a 11 , a 12 ... a 1i ... a 1n1 ), where a[[ID=X]] 1i is the i-th first-level storage tank; n1 is the number of first-level storage tanks; Generate the first-level storage quantity w1 according to the first-level storage tank sequence A1; If w1 > W, generate a first-level storage strategy; If w1 < W, generate a second-level storage strategy.
[0035] Specifically, the amount of liquid ammonia to be stored, W, is generated based on the amount of liquid ammonia transported in the liquid ammonia tanker. The primary storage strategy generates the optimal storage capacity and storage sequence for each primary storage tank based on a preset optimization model, thereby avoiding excessive storage of liquid ammonia in a single storage tank and reducing the operating risk and overall operation and maintenance costs of the storage tank.
[0036] Specifically, the secondary storage strategy means that after all the primary storage tanks are eliminated from the storage tank, the storage tank with the largest storage evaluation value among the remaining storage tanks is selected as the secondary storage tank, and the primary storage capacity is updated according to the remaining storage capacity of the secondary storage tank and all the associated storage tanks of the secondary storage tank. If the primary storage capacity is greater than the liquid ammonia to be stored W, the selection of storage tanks is stopped. If the primary storage capacity is less than the liquid ammonia to be stored W, the selection of storage tanks is continued according to the above principle until the total remaining storage capacity of the selected storage tanks is greater than the liquid ammonia to be stored W, and the required storage capacity of each selected storage tank and the storage order of each selected storage tank are generated according to the preset optimization model.
[0037] Specifically, generate initial evaluation values for each storage tank, including: Set a in sequence according to the storage tank sequence A i This is the storage tank to be evaluated; Obtain historical parameters of the storage tank to be evaluated; Generate an initial evaluation value b of the storage tank to be evaluated; b=e1*Q1*[ (η i *j i )]+e2*Q2*U; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of equipment evaluation indicators; η i is the influencing factor of the i-th equipment evaluation index; j i is the reference value of the i-th equipment evaluation index in the storage tank to be evaluated; U is the remaining storage capacity of the storage tank to be evaluated; Generate initial evaluation values for each storage tank in sequence.
[0038] Specifically, each storage tank is equipped with a radar level meter, which generates the corresponding remaining storage volume by real-time monitoring of the liquid level in each storage tank.
[0039] Specifically, equipment evaluation indicators include, but are not limited to, the storage tank's historical failure frequency, total operating life, and the current amount of liquid ammonia stored. A higher initial evaluation value indicates a lower likelihood of operational failure for the currently evaluated storage tank and a longer remaining service life.
[0040] specific Specifically, all parameters in the model are normalized by presetting a first fixed coefficient and a second fixed coefficient, so that each parameter is in the same value range.
[0041] Specifically, the storage evaluation value of each storage tank is generated, including: Set a in sequence according to the storage tank sequence A i For storage tanks to be corrected; Obtain all associated storage tanks of the storage tank to be corrected according to the associated model; Generate a storage evaluation value c of the storage tank to be corrected; c=e3*Q3*b'+e4*Q4*[ (b 1i )]; Wherein, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; b' is the initial evaluation value of the storage tank to be corrected; n2 is the number of associated storage tanks of the storage tank to be corrected; b 1i is the initial evaluation value of the i-th associated storage tank of the storage tank to be corrected.
[0042] Specifically, all parameters in the model are normalized by presetting the third fixed coefficient and the fourth fixed coefficient, so that each parameter is in the same value range.
[0043] Specifically, by correcting the initial evaluation value of each storage tank and selecting the corresponding optimal storage group, the switching cost during liquid ammonia transportation is reduced, the overall scheduling of the liquid ammonia storage system is achieved, and the overall operation and maintenance cost is reduced.
[0044] It is understandable that in the above embodiment, by setting up multiple storage tanks in the liquid ammonia storage area and dynamically adjusting the storage strategy according to the real-time transportation volume of the liquid ammonia tank truck, the transportation efficiency of liquid ammonia from the tank truck to the liquid ammonia storage tank is improved, while avoiding the liquid ammonia volume in a single storage tank being too high or too low, reducing the operating risks of each storage tank, and thus reducing the overall operation and maintenance cost of liquid ammonia storage. In the preferred embodiment of the present application, a is set in sequence according to the storage tank sequence A. i Storage tanks to be monitored; Establish multiple monitoring points based on the equipment parameters of the storage tank to be monitored; Obtain the monitoring data packets of each monitoring point at the current monitoring time node; Generate a risk assessment value f of the storage tank to be monitored at the current monitoring time node based on all monitoring data packets; Generate the risk assessment value of each storage tank at the current monitoring time node in sequence; Establish the risk assessment series F at the current monitoring time node, F=(f1,f2…fi …f n ), where f i is the risk evaluation value of the i-th storage tank at the current monitoring time node; Judge whether to generate a warning instruction according to the risk evaluation value sequence F.
[0045] Specifically, generating the risk evaluation value f of the storage tank to be monitored at the current detection time node includes: f = e5 * Q5 * Y(i) * (k i - r * k')] + e6 * Q6 * k i / m] + e7 * Q7 * V;[[ID=MISSING]] Among them, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; m is the acquisition volume of pressure data; k i is the i-th pressure value collected; k' is the pressure value threshold; r is the correction coefficient set based on the initial evaluation value of the storage tank to be monitored; k i is the i-th pressure value collected; V is the temperature anomaly value.
[0046] Specifically, all parameters in the model are normalized through the preset fifth fixed coefficient, sixth fixed coefficient and seventh fixed coefficient, so that each parameter is within the same value range.[[ID=3)]]
[0047] Specifically, pressure monitoring points are set inside each storage tank, and multiple temperature monitoring points are set on the outer wall. The potential risks of the storage tank are warned in time by collecting the pressure data and temperature data of each monitoring point.
[0048] Specifically, at the pressure monitoring point, a continuous pressure value curve needs to be collected at a single monitoring time node, and multiple pressure values are generated by randomly selecting points.
[0049] Specifically, by analyzing the temperature data of each temperature monitoring point, the greater the temperature anomaly value, the greater the possibility that the current storage tank has potential risks.
[0050] Specifically, the pressure value threshold can be set according to historical parameters.
[0051] Specifically, the second processing module is also used for: Preset the first risk evaluation value threshold F1 and the second risk evaluation value threshold F2; If f i .<F1, no warning instruction is generated for the i-th storage tank at the current monitoring time node; If F1 < f i <F2, the i-th storage tank generates a first-level warning instruction at the current monitoring time node; If f i >F2, the i-th storage tank generates a second-level warning instruction at the current monitoring time node; Set the working parameters of the protection unit at the current monitoring time node according to all the first-level warning instructions and all the second-level warning instructions at the current monitoring time node.
[0052] Specifically, the first-level warning instruction means that there is an abnormal pressure state in the currently monitored storage tank, and it is necessary to timely extract the gaseous ammonia in the tank into the ammonia liquid separator through the protection unit. After the separated gas phase is compressed and condensed by the pressure-maintaining ice machine, it converges with the liquid phase separated by the ammonia liquid separator and then returns to the liquid ammonia storage tank to ensure that the storage tank will not be severely over-pressurized.
[0053] Specifically, the second-level warning instruction means that the currently monitored storage tank is in an accident state, and it is necessary to pass the liquid ammonia in the monitored storage tank through the ammonia storage液器 of the protection unit into the emergency ammonia discharge device, automatically open the fire water inlet valve to absorb the liquid ammonia, and the formed ammonia water enters the accident pool for subsequent treatment.
[0054] Specifically, setting the correction coefficient r includes: Obtain the initial evaluation value Δb of the storage tank to be monitored at the current monitoring time node; Preset the first initial evaluation value interval (B1, B2), the second initial evaluation value interval (B2, B3) and the third initial evaluation value interval (B3, B4); If the initial evaluation value Δb is within the preset first initial evaluation value interval, set the correction coefficient r to the preset first correction coefficient r1, that is, r = r1; If the initial evaluation value Δb is within the preset second initial evaluation value interval, set the correction coefficient r to the preset second correction coefficient r2, that is, r = r2; If the initial evaluation value Δb is within the preset third initial evaluation value interval, set the correction coefficient r to the preset third correction coefficient r1, that is, r = r3; and r1 < r2 < r3 < 1.
[0055] Specifically, dynamically correct the corresponding correction coefficient according to the real-time initial evaluation value of the storage tank to be monitored, improve the warning efficiency for the abnormal operation state of the storage tank, and timely warn of potential operation risks.
[0056] It can be understood that in the above embodiments, by periodically monitoring each storage tank, potential operation risks are timely warned, and at the same time, the protection unit is used to timely handle potential risks, avoiding larger safety problems and ensuring the safe operation of the liquid ammonia storage system.
[0057] According to the first concept of the present application, by setting up multiple storage tanks in the liquid ammonia storage area and dynamically adjusting the storage strategy according to the real-time transportation volume of the liquid ammonia tank truck, the transportation efficiency of liquid ammonia from the tank truck to the liquid ammonia storage tank is improved, while avoiding the liquid ammonia amount in a single storage tank being too high or too low, reducing the operating risks of each storage tank, and thus reducing the overall operation and maintenance cost of liquid ammonia storage.
[0058] According to the second concept of the present application, the added protection unit periodically monitors the operating status of each storage tank and promptly issues early warnings for potential operating risks. At the same time, the protection unit is used to promptly handle potential risks to avoid major safety issues and ensure the safe operation of the liquid ammonia storage system.
[0059] The above is only a preferred embodiment of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and replacements can be made without departing from the technical principles of the present application. These improvements and replacements should also be regarded as the scope of protection of the present application.
Claims
1. A liquid ammonia storage system, characterized in that: Comprising: A storage unit, including a plurality of storage tanks for storing liquid ammonia; A central control unit for setting the operating parameters of the storage unit; The central control unit is further used for setting a plurality of monitoring points; A monitoring unit, including a plurality of monitoring sub-modules, the monitoring sub-modules are arranged at each monitoring point, and the monitoring unit is used for collecting the operating parameters of the storage unit; A protection unit, connected to the storage unit through a pipeline, and the protection unit is used for controlling the pressure in each storage tank.
2. The liquid ammonia storage system according to claim 1, wherein: The central control unit includes: The first processing module is used to establish a storage tank sequence A, A=(a1, a2…a i …a n ), where a i is the i-th storage tank; n is the number of storage tanks; The first processing module is further used for establishing an association model of all storage tanks; A second processing module for generating an operating risk value for each storage tank according to a preset detection time node; A third processing module for setting the operating strategy of the storage unit according to the liquid ammonia to be stored.
3. The liquid ammonia storage system according to claim 2, wherein: When establishing the association model, it includes: Sequentially setting ai as the target storage tank according to the storage tank sequence A; Generating an association evaluation value between the target storage tank and each storage tank; Establish the associated evaluation value series P, P=(p1, p2…p i …p n ), where p i is the correlation evaluation value between the target storage tank and the i-th storage tank; Presetting a first association evaluation value interval (P1, P2); If pi is within the first association evaluation value interval, setting ai as the associated storage tank of the target storage tank; Generating a sub-association mapping table of the target storage tank according to all the associated storage tanks of the target storage tank; Sequentially generating the sub-association mapping tables of each storage tank; Establishing an association model according to all the sub-association mapping tables.
4. The liquid ammonia storage system according to claim 3, wherein: The third processing module is further used for: Generating the liquid ammonia to be stored W according to the liquid ammonia tanker parameters; Generating an initial evaluation value for each storage tank; Establish the initial evaluation value sequence B, B=(b1,b2…b i …b n ), where b i is the initial evaluation value of the i-th storage tank; Generating a storage evaluation value for each storage tank according to the initial evaluation value sequence B; Establish a storage evaluation value sequence C, C=(c1,c2…c i …c n ), where c i is the storage evaluation value of the i-th storage tank; Setting the storage tank corresponding to the maximum storage evaluation value in the storage evaluation value sequence C as the marked storage tank; Setting all the associated storage tanks of the marked storage tank as the first-level storage tanks according to the association model; Setting the marked storage tank as the first-level storage tank; Establish a first-level storage tank array A1, A1=(a 11 ,a 12 …a 1i …a 1n1 ), where a 1i is the i-th primary storage tank; n1 is the number of primary storage tanks; Generating the first-level storage quantity w1 according to the first-level storage tank sequence A1; If w1 > W, generating a first-level storage strategy; If w1 < W, generating a second-level storage strategy.
5. The liquid ammonia storage system according to claim 4, wherein: Generating an initial evaluation value for each storage tank, including: Set a in sequence according to the storage tank sequence A i This is the storage tank to be evaluated; Obtaining the historical parameters of the storage tank to be evaluated; Generating an initial evaluation value b for the storage tank to be evaluated; b=e1*Q1*[ (η i *j i )]+e2*Q2*U; Wherein, e1 is the preset first weight coefficient; e2 is the preset second weight coefficient; Q1 is the preset first fixed coefficient; Q2 is the preset second fixed coefficient; θ is the number of equipment evaluation indicators; η i is the influencing factor of the i-th equipment evaluation index; j i is the reference value of the i-th equipment evaluation index in the storage tank to be evaluated; U is the remaining storage capacity of the storage tank to be evaluated; Sequentially generating the initial evaluation values of each storage tank.
6. The liquid ammonia storage system according to claim 5, characterized in that: Generating a storage evaluation value for each storage tank, including: Set a in sequence according to the storage tank sequence A i For storage tanks to be corrected; Obtaining all the associated storage tanks of the storage tank to be corrected according to the association model; Generating a storage evaluation value c for the storage tank to be corrected; c=e3*Q3*b'+e4*Q4*[ (b 1i )]; Wherein, e3 is the preset third weight coefficient; e4 is the preset fourth weight coefficient; Q3 is the preset third fixed coefficient; Q4 is the preset fourth fixed coefficient; b' is the initial evaluation value of the storage tank to be corrected; n2 is the number of associated storage tanks of the storage tank to be corrected; b 1i is the initial evaluation value of the i-th associated storage tank of the storage tank to be corrected.
7. The liquid ammonia storage system according to claim 4, wherein: The second processing module is further used for: Set a in sequence according to the storage tank sequence A i Storage tanks to be monitored; Establishing a plurality of monitoring points according to the equipment parameters of the storage tank to be monitored; Obtaining the monitoring data packets of each monitoring point at the current monitoring time node; Generating a risk evaluation value f of the storage tank to be monitored at the current monitoring time node according to all the monitoring data packets; Sequentially generating the risk evaluation values of each storage tank at the current monitoring time node; Establish the risk assessment series F at the current monitoring time node, F=(f1,f2…f i …f n ), where f i is the risk assessment value of the i-th storage tank at the current monitoring time node; Judging whether to generate a warning instruction according to the risk evaluation value sequence F.
8. The liquid ammonia storage system according to claim 7, characterized in that: Generating the risk evaluation value f of the storage tank to be monitored at the current detection time node, including: f=e5*Q5* Y(i)*(k i -r*k')]+e6*Q6*[ k i / m]+e7*Q7*V; Among them, e5 is the preset fifth weight coefficient; e6 is the preset sixth weight coefficient; e7 is the preset seventh weight coefficient; Q5 is the preset fifth fixed coefficient; Q6 is the preset sixth fixed coefficient; Q7 is the preset seventh fixed coefficient; m is the amount of pressure data collected; k i is the ith pressure value collected; k' is the pressure threshold; r is the correction coefficient set based on the initial evaluation value of the storage tank to be monitored; k i is the ith pressure value collected; V is the temperature anomaly value.
9. The liquid ammonia storage system according to claim 8, wherein: The second processing module is further used for: Presetting a first risk evaluation value threshold F1 and a second risk evaluation value threshold F2; If f i <F1, the i-th storage tank does not generate a warning instruction at the current monitoring time node; If F1 < f i <F2, the i-th storage tank generates a first-level warning instruction at the current monitoring time node; If f i >F2, the i-th storage tank generates a secondary warning instruction at the current monitoring time node; Setting the operating parameters of the protection unit at the current monitoring time node according to all the first-level warning instructions and all the second-level warning instructions at the current monitoring time node.
10. The liquid ammonia storage system according to claim 8, wherein: Setting the correction coefficient r includes: Obtain the initial evaluation value Δb of the storage tank to be monitored at the current monitoring time node; Preset a first initial evaluation value interval (B1, B2), a second initial evaluation value interval (B2, B3) and a third initial evaluation value interval (B3, B4); If the initial evaluation value Δb is within the preset first initial evaluation value interval, the correction coefficient r is set to the preset first correction coefficient r1, that is, r=r1; If the initial evaluation value Δb is within the preset second initial evaluation value interval, the correction coefficient r is set to the preset second correction coefficient r2, that is, r=r2; If the initial evaluation value Δb is within the preset third initial evaluation value interval, the correction coefficient r is set to the preset third correction coefficient r1, that is, r=r3; and r1 <r2<r3<1。