Construction monitoring alarm method for shallow silo of comprehensive grain storage base and related equipment

Abstract

The application belongs to the technical field of silo construction monitoring, and provides a comprehensive grain storage base shallow silo construction monitoring alarm method and related equipment, which comprises the following steps: obtaining silo monitoring data; determining the settlement degree of an existing silo based on the settlement amount; determining the corrected existing silo data based on the existing silo data and the settlement degree; determining the corrected new silo construction data based on the new silo construction data and the settlement degree; determining the existing silo risk coupling factor based on the settlement degree and the corrected existing silo data; determining the new silo construction influence factor based on the settlement degree and the corrected new silo construction data; determining the risk value based on the existing silo risk coupling factor and the new silo construction influence factor, and determining whether to alarm based on the risk value; and establishing a risk value evaluation system by simultaneously monitoring the new silo construction data and the existing silo state data, thereby solving the problem of insufficient interaction evaluation of the traditional monitoring method.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of silo construction monitoring, and particularly relates to a shallow silo construction monitoring and alarm method for a comprehensive grain storage base and related equipment. BACKGROUND

[0002] In modern grain storage construction, group silo arrangement has become the mainstream construction scheme, usually consisting of 20-30 silos to form a centralized storage group. This arrangement has significant advantages: first, it can greatly improve land utilization and achieve the maximum storage capacity on limited construction land; second, it is conducive to centralized management and mechanized operation, significantly improving operational efficiency; and it is also convenient for implementing a unified temperature and humidity control system to ensure grain quality.

[0003] However, this intensive group silo arrangement poses technical challenges during construction: when a silo is newly built next to an existing silo group, the foundation pit excavation and dewatering activities during its construction process can disrupt the original soil stress balance, causing complex geotechnical engineering problems. Specifically, foundation pit excavation can lead to redistribution of stress in the surrounding soil, possibly causing uneven settlement of the foundation of adjacent silos; dewatering operations can lower the groundwater level, increasing the effective stress of the soil, and thus causing consolidation settlement. Under soft soil foundation conditions, these effects are particularly pronounced, and can easily lead to differential settlement of adjacent existing silos, and in severe cases, can cause structural damage such as silo tilting and wall cracking, and even trigger a chain of structural safety problems.

[0004] The existing silo construction monitoring and alarm technology has two main limitations: on the one hand, the monitoring objects are too single, usually only monitoring the construction process of newly built silos, completely ignoring the influence monitoring of adjacent existing silos; on the other hand, the monitoring indicators are relatively simple, often only focusing on single settlement or inclination data, lacking comprehensive analysis of multiple parameters. This traditional monitoring method cannot fully grasp the complex interactions in group silo construction, especially cannot timely discover and warn potential risks to existing silos caused by the construction of newly built silos. For example, when a newly built silo is excavated, the traditional monitoring system may only focus on the stability of the excavation itself, ignoring the influence of the excavation activity on adjacent silos through soil stress transmission, which can lead to delayed alarms. SUMMARY

[0005] To address the problems in the background art, the present application proposes a shallow silo construction monitoring and alarm method for a comprehensive grain storage base and related equipment.

[0006] To achieve the above-mentioned purpose, the present application adopts the following technical solutions:

[0007] In a first aspect, the present disclosure proposes a shallow silo construction monitoring and alarm method for a comprehensive grain storage base, comprising:

[0008] obtaining silo monitoring data; wherein the silo monitoring data comprises existing silo data, new silo construction data and settlement amount of the existing silo;

[0009] determining a settlement degree of the existing silo based on the settlement amount;

[0010] determining corrected existing silo data based on the existing silo data and the settlement degree;

[0011] determining corrected new silo construction data based on the new silo construction data and the settlement degree;

[0012] determining an existing silo risk coupling factor based on the settlement degree and the corrected existing silo data;

[0013] determining a new silo construction influence factor based on the settlement degree and the corrected new silo construction data;

[0014] determining a risk value based on the existing silo risk coupling factor and the new silo construction influence factor, and determining whether to alarm based on the risk value.

[0015] Preferably, the existing silo data comprises a silo inclination angle and a vibration speed;

[0016] determining corrected existing silo data based on the existing silo data and the settlement degree, specifically comprising:

[0017] determining a corrected inclination angle based on the silo inclination angle and the settlement degree;

[0018] determining a corrected vibration speed based on the vibration speed and the settlement degree.

[0019] Preferably, the new silo construction data comprises a foundation pit dewatering rate and a foundation pit excavation depth;

[0020] determining corrected new silo construction data based on the new silo construction data and the settlement degree, specifically comprising:

[0021] determining a corrected dewatering rate based on the foundation pit dewatering rate and the settlement degree;

[0022] determining a corrected excavation depth based on the foundation pit excavation depth and the settlement degree.

[0023] Preferably, the existing silo risk coupling factor is determined based on the settlement degree, the corrected inclination angle and the corrected vibration speed.

[0024] An expression of the existing silo risk coupling factor is determined as follows: , wherein, is the settlement degree, is the corrected inclination angle, is the corrected vibration speed, is the existing silo risk coupling factor.

[0025] Preferably, the new silo construction influence factor is determined based on the settlement degree and the corrected new silo construction data, and the new silo construction influence factor is determined based on the corrected precipitation rate and the corrected excavation depth;

[0026] An expression of the new silo construction influence factor is determined as follows: , wherein, is the new silo construction influence factor, is the corrected precipitation rate, is the corrected excavation depth.

[0027] Preferably, the risk value is determined based on the existing silo risk coupling factor and the new silo construction influence factor, and specifically includes:

[0028] The existing silo risk coupling factor and the new silo construction influence factor are weighted and fused to obtain the risk value;

[0029] An expression of the risk value is determined as follows: , wherein, is the risk value, is the existing silo risk coupling factor, is the new silo construction influence factor, is the weight of the existing silo risk coupling factor, is the weight of the new silo construction influence factor, and .

[0030] Preferably, whether to alarm is determined based on the risk value, and specifically includes:

[0031] The risk value is compared with a pre-set threshold value to determine whether the risk value is greater than or equal to the threshold value, and if yes, an alarm is given.

[0032] In a second aspect, the present disclosure provides a comprehensive grain storage base shallow silo construction monitoring and alarm system, which includes:

[0033] A data acquisition module is configured to acquire silo monitoring data, wherein the silo monitoring data includes existing silo data and new silo construction data, and the existing silo data includes a settlement amount;

[0034] a settlement degree determination module configured to determine a settlement degree of the existing silo based on the settlement amount;

[0035] an existing data correction module configured to determine corrected existing silo data based on the existing silo data and the settlement degree;

[0036] a new construction data correction module configured to determine corrected new silo construction data based on the new silo construction data and the settlement degree;

[0037] an existing risk coupling factor determination module configured to determine an existing silo risk coupling factor based on the settlement degree and the corrected existing silo data;

[0038] a new construction influence factor determination module configured to determine a new silo construction influence factor based on the settlement degree and the corrected new silo construction data;

[0039] a risk alarm determination module configured to determine a risk value based on the existing silo risk coupling factor and the new silo construction influence factor, and determine whether to alarm based on the risk value.

[0040] In a third aspect, the present disclosure provides a device comprising a memory and a processor, wherein the memory stores computer instructions capable of running on the processor, and the processor executes the computer instructions to perform the comprehensive grain storage base shallow silo construction monitoring and alarm method described above.

[0041] In a fourth aspect, the present disclosure provides a computer readable storage medium storing computer instructions, wherein the computer instructions, when executed, can implement the comprehensive grain storage base shallow silo construction monitoring and alarm method described above.

[0042] The present application has the following beneficial effects:

[0043] The method of the present application simultaneously monitors new silo construction data and existing silo state data, simultaneously analyzes new silo construction data and existing silo state data, establishes a risk value evaluation system, solves the problem of insufficient evaluation of the interaction between new silos and existing silos in traditional monitoring methods, realizes the prevention and control of the cascading structural risk caused by group effect in the construction process of silo groups, and performs correction calculation on the obtained data, which can more accurately reflect the actual impact of construction on silo construction, and further realize timely alarm.

[0044] Other features and advantages of the present application will be set forth in the following description, and in part will become apparent to those skilled in the art from the description, or can be learned by practice of the present application. The objects and other advantages of the present application can be realized and achieved by the structures indicated in the specification and drawings. BRIEF DESCRIPTION OF DRAWINGS

[0045] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or prior art description. Obviously, the drawings described below are only some embodiments of the present application, and the other drawings can be obtained by those skilled in the art without any creative effort based on these drawings.

[0046] Figure 1 A flow chart of a comprehensive grain storage base shallow silo construction monitoring alarm method of the present application is shown;

[0047] Figure 2 A device framework diagram of the present application is shown;

[0048] Figure 3 A device structure schematic diagram of the present application is shown;

[0049] Figure 4 A computer readable storage medium structure schematic diagram of the present application is shown. DETAILED DESCRIPTION

[0050] In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the following will combine the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only some of the embodiments of the present application, not all. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without any creative effort are within the scope of protection of the present application.

[0051] Referring to Figure 1 A comprehensive grain storage base shallow silo construction monitoring alarm method is shown, which specifically includes the following steps:

[0052] S10, obtaining silo monitoring data; wherein the silo monitoring data includes existing silo data, newly built silo construction data and settlement amount of the existing silo;

[0053] Specifically, the settlement amount Obtained by the i-th static level gauge measuring point (i=1, 2, …, n), unit: millimeter (mm), wherein the static level gauge is uniformly arranged along the foundation ring of the existing silo, and the number of measuring points is greater than or equal to 4 (preferably 6-8); silo inclination angle Obtained by the inclination angle sensor, unit: degree (°), wherein the inclination angle sensor is installed at the top of the outer wall of the existing silo, and is used for the overall inclination trend of the existing silo; vibration speed The accelerometer readings are measured in millimeters per second (mm / s). Four accelerometers, preferably evenly distributed, are installed at the foundation of the existing silo to detect construction vibration transmission. The dewatering rate P in the foundation pit is measured by a flow meter in cubic meters per hour (m³ / h). The flow meter is installed inside the dewatering well pipe; the excavation depth H of the foundation pit is measured by a laser rangefinder in meters (m), which is installed at the edge of the new silo foundation pit to scan the bottom of the pit.

[0054] S20. Based on the settlement amount, determine the degree of settlement of the existing silos;

[0055] Specifically, the degree of settlement of existing silos is determined based on the amount of settlement. Its expression is: In the formula, Settlement The maximum value in, Settlement The minimum value in, The degree of settlement; by calculating the degree of settlement The degree of settlement directly reflects the uneven settlement of the existing silo foundation, while simple tilt angle or vibration data cannot distinguish whether the settlement is uniform or localized. For example, even with a small tilt angle, significant settlement on one side of the existing silo (such as the area adjacent to the foundation pit) can still lead to stress concentration in the structure. (Settlement Degree) Its advantage lies in its ability to accurately locate high-risk areas (such as abrupt settlement points), providing a benchmark input for subsequent correction calculations and avoiding the one-sidedness of data from a single measurement point.

[0056] S30. Based on the existing silo data and the degree of settlement, determine the corrected existing silo data;

[0057] Existing silo data includes silo tilt angle and vibration velocity;

[0058] Based on existing silo data and the aforementioned settlement level, the corrected existing silo data is determined, specifically including:

[0059] The corrected tilt angle is determined based on the silo tilt angle and the degree of settlement, and its expression is as follows: In the formula, To correct the tilt angle, The silo tilt angle, The tilt-settlement coupling coefficient is... For the degree of settlement. Correct the tilt angle. By coupling the degree of settlement with the silo tilt angle, the amplification effect of settlement on tilt is quantified, while the simple silo tilt angle... It may be affected by temperature deformation or instrument error, and the corrected version can more truly reflect the structural tilt caused by construction. For example, when is larger, the increase will be significant, indicating that the tilt may be caused by foundation instability rather than temporary load, thus triggering an early warning;

[0060] The corrected vibration velocity is determined based on the vibration velocity and the settlement degree, and the expression is: , wherein is the corrected vibration velocity, is the vibration velocity, is the settlement degree, is the vibration-settlement correlation coefficient, is the settlement degree. The corrected vibration velocity can reflect the enhancement effect of settlement on vibration conduction, while the vibration velocity can only reflect the instantaneous impact of construction machinery. The corrected vibration velocity correlates the increased vibration sensitivity caused by the decrease in foundation stiffness (represented by ). For example, settlement in soft soil areas can amplify vibration propagation, and the corrected vibration velocity can more accurately assess the cumulative fatigue risk of existing silos and avoid underestimating the long-term vibration impact.

[0061] S40, based on the new silo construction data and the settlement degree, determine the corrected new silo construction data;

[0062] The new silo construction data includes the foundation pit dewatering rate and the foundation pit excavation depth .

[0063] Specifically, based on the new silo construction data and the settlement degree, the corrected new silo construction data is determined, specifically including:

[0064] The corrected dewatering rate is determined based on the foundation pit dewatering rate and the settlement degree, and the expression is: , wherein is the corrected dewatering rate, is the dewatering-settlement sensitivity coefficient, is the settlement degree. The corrected dewatering rate can dynamically reflect the influence weight of the foundation pit dewatering rate on the adjacent silo, while the simple dewatering data cannot reflect the actual harm degree to the existing structure, and the corrected dewatering rate automatically adjusts the warning threshold according to the real-time settlement of the existing silo. For example, when the settlement degree exceeds the limit, the corrected dewatering rate The excavation depth will be significantly increased, rather than mechanically following the fixed precipitation standard.

[0065] The modified excavation depth is determined based on the excavation depth of the foundation pit and the settlement degree, and the expression is: , wherein, is the modified excavation depth, is the excavation depth of the foundation pit, is the excavation-inclination interaction coefficient, is the settlement degree. The modified excavation depth is determined based on the excavation depth of the foundation pit and the inclination angle of the existing silo . The excavation depth of the foundation pit only focuses on the progress, while the modified excavation depth can automatically limit the excavation depth when the inclination is intensified, preventing the chain damage of the soil. For example, if the inclination angle of the silo suddenly increases, the modified excavation depth will also increase, at which time it is necessary to slow down the excavation speed or take supporting measures to avoid soil instability or further silo inclination due to blind excavation, and to avoid further unloading-induced collapse.

[0066] It should be further noted that the inclination-settlement coupling coefficient , the vibration-settlement coupling coefficient , the precipitation-settlement sensitivity coefficient , and the excavation-inclination interaction coefficient can be obtained by actual silo construction site tests.

[0067] In a specific embodiment, the method for determining the inclination-settlement coupling coefficient is to simulate settlement by stacking steel plates in the adjacent area of the existing silo, control the settlement degree to be 1mm, 2mm, and simultaneously record the inclination angle of the silo recorded by the inclination sensor , and the expression for calculating the inclination-settlement coupling coefficient is: , wherein, is the inclination-settlement coupling coefficient, is the inclination angle change amount, is the settlement degree. More specifically, if =1mm, =0.15°, then =0.15; if =2mm, =0.32°, then =0.16, and the average value of is 0.155.

[0068] In one specific embodiment, the method for determining the vibration-settlement correlation coefficient is to simulate vibration at the site of a new silo using a vibration hammer, record the existing silo accelerometer data, and simultaneously monitor the settlement degree . The expression for calculating the vibration-settlement correlation coefficient is: , wherein is the vibration-settlement correlation coefficient, is the vibration velocity change amount, is the settlement degree. More specifically, if = 1 mm, = 0.15 mm / s, then = 0.15.

[0069] In one specific embodiment, the method for determining the dewatering-settlement sensitivity coefficient is to simulate the dewatering rate of a foundation pit by pumping water at different rates in a dewatering well and simultaneously monitor the settlement degree . The expression for calculating the dewatering-settlement sensitivity coefficient is: , wherein is the dewatering-settlement sensitivity coefficient, is the settlement degree change amount, is the foundation pit dewatering rate change amount. More specifically, if = 5 , = 0.5 mm, then = 0.1.

[0070] In one specific embodiment, the method for determining the excavation-inclination interaction coefficient is to excavate in stages (e.g., 1 m per stage), record the foundation pit excavation depth and the silo inclination angle . The expression for calculating the excavation-inclination interaction coefficient is: , wherein is the excavation-inclination interaction coefficient, is the silo inclination angle change amount, is the foundation pit excavation depth change amount. More specifically, if is 1 m, is 0.03°, then = 0.03.

[0071] It should be further noted that the present disclosure provides a method for determining the inclination-settlement coupling coefficient , the vibration-settlement correlation coefficient , the dewatering-settlement sensitivity coefficient , and the excavation-inclination interaction coefficient It is only for illustrative purposes, not as a limitation of the present disclosure. In actual engineering, numerical simulation inversion, machine learning data mining or similar engineering experience analogy method can also be used to determine the coefficient. For example, a regression model can be established by long-term monitoring data, or the coefficient value can be optimized in combination with finite element parameter sensitivity analysis. The specific method can be flexibly selected according to the actual conditions.

[0072] It needs to be further understood that the tilt-settlement coupling coefficient , the vibration-settlement coupling coefficient , the precipitation-settlement sensitive coefficient and the excavation-tilt interaction coefficient will change with the specific engineering conditions. The foundation soil, structure form and construction technology of different silos will affect the coefficient value. For example, the of soft soil layer is usually higher than that of rock layer. However, in the same project, if the geological conditions and design parameters do not change during the construction stage, these coefficients can be considered as relatively stable constants, which only need to be verified regularly.

[0073] S50, determining the existing silo risk coupling factor based on the settlement degree and the corrected existing silo data;

[0074] Specifically, the existing silo risk coupling factor is determined based on the settlement degree and the corrected existing silo data, that is, the existing silo risk coupling factor is determined based on the settlement degree, the corrected tilt angle and the corrected vibration speed. The expression for determining the existing silo risk coupling factor is: , wherein is the settlement degree, is the corrected tilt angle, is the corrected vibration speed, is the existing silo risk coupling factor.

[0075] By calculating the existing silo risk coupling factor , the combined effect of construction on the existing structure can be comprehensively evaluated. Specifically, the product of the settlement degree and the corrected tilt angle can capture the synergistic risk caused by uneven deformation of the foundation, and by dividing the corrected vibration speed , the adjusting effect of vibration on the stability of the structure can be reflected. Through the above calculation, the limitations of single parameter monitoring can be overcome. For example, only monitoring the tilt angle will ignore the influence of settlement, and only looking at vibration data cannot evaluate the long-term cumulative damage. Therefore, by calculating the existing silo risk coupling factor , potential problems such as foundation instability and weld cracking can be found earlier, providing a more comprehensive evaluation basis for structural safety.

[0076] S60, determining the new silo construction influence factor based on the settlement degree and the corrected new silo construction data;

[0077] Specifically, the new silo construction influence factor is determined based on the corrected dewatering rate and the corrected excavation depth. The expression for determining the new silo construction influence factor is: , wherein, is the new silo construction influence factor, is the corrected dewatering rate, is the corrected excavation depth. The expression for determining the new silo construction influence factor is: , wherein, is the new silo construction influence factor, is the corrected dewatering rate, is the corrected excavation depth.

[0078] The new silo construction influence factor is calculated by multiplying the corrected dewatering rate and the corrected excavation depth , which can quantify the risk of the construction activity itself. Specifically, by multiplying the corrected dewatering rate and the corrected excavation depth , the synergistic effect of the change in groundwater level caused by dewatering and unloading caused by excavation can be reflected. Compared with controlling dewatering or excavation alone, it is more scientific, for example, in soft soil layers, even if the excavation depth is not large, strong dewatering may still cause rapid settlement of adjacent silos. Therefore, by calculating the new silo construction influence factor, accurate basis can be provided for adjusting the construction progress, and sudden risks can be avoided.

[0079] S70, determining the risk value based on the existing silo risk coupling factor and the new silo construction influence factor, and determining whether to alarm based on the risk value.

[0080] Specifically, the risk value is determined based on the existing silo risk coupling factor and the new silo construction influence factor, specifically including: weighting and fusing the existing silo risk coupling factor and the new silo construction influence factor to obtain the risk value, and the expression is: , wherein, is the risk value, is the existing silo risk coupling factor, is the new silo construction influence factor, is the weight of the existing silo risk coupling factor , and the weight of the new silo construction influence factor , and It should be further pointed out that the weight of the existing silo risk coupling factor and the weight of the new silo construction influence factor The weight will be dynamically adjusted according to the actual engineering situation, and different site geological conditions, silo structure characteristics and construction stages will all affect the weight distribution, for example, the weight of a soft soil foundation project needs to be increased , and the specific gravity needs to be increased when adjacent to sensitive structures.

[0081] In the step S70, it is determined whether to alarm based on the risk value. Specifically, the risk value is compared with a pre-set threshold value to determine whether the risk value is greater than or equal to the threshold value, and if so, an alarm is triggered. For example, it is determined whether the risk value reaches or exceeds a pre-set three-level threshold value , , , . If the risk value is greater than or equal to , , , a first-level early warning is triggered, , , a second-level alarm is triggered, , , an emergency state alarm is started, and if the risk value is less than , , no alarm is triggered. Each threshold value corresponds to a different emergency response measure, such as adjusting construction parameters or personnel evacuation. The threshold value needs to be pre-set according to the engineering risk assessment results.

[0082] The present disclosure solves the problem of insufficient assessment of the interaction between new silos and existing silos in traditional monitoring methods by simultaneously monitoring new silo construction data and existing silo state data, analyzing new silo construction data and existing silo state data, establishing a risk value evaluation system, and achieving the prevention and control of the cascading structural risk caused by group effect in the construction process of silo groups. The data obtained is corrected and calculated, which can more accurately reflect the actual impact of construction on silo construction.

[0083] Referring to Figure 2 , based on the unified inventive concept of the above method, the present disclosure also proposes a comprehensive grain storage base shallow silo construction monitoring and alarm system, which comprises:

[0084] A data acquisition module 110 is configured to acquire silo monitoring data, wherein the silo monitoring data includes existing silo data, new silo construction data, and settlement amount of the existing silo.

[0085] A settlement degree determination module 120 is configured to determine the settlement degree of the existing silo based on the settlement amount.

[0086] An existing data correction module 130 is configured to determine the corrected existing silo data based on the existing silo data and the settlement degree.

[0087] The new data correction module 140 is configured to determine the corrected new silo construction data based on the new silo construction data and the settlement degree.

[0088] The existing risk coupling factor determination module 150 is configured to determine the existing silo risk coupling factor based on the settlement degree and the corrected existing silo data.

[0089] The new construction influence factor determination module 160 is configured to determine the new silo construction influence factor based on the settlement degree and the corrected new silo construction data.

[0090] The risk alarm determination module 170 is configured to determine the risk value based on the existing silo risk coupling factor and the new silo construction influence factor, and determine whether to alarm based on the risk value.

[0091] Referring to Figure 3 Based on the unified inventive concept of the above method, the disclosure further proposes an apparatus comprising a memory and a processor, the memory having stored thereon computer instructions capable of running on the processor, and the processor executing the computer instructions to perform the above-mentioned comprehensive grain storage base shallow silo construction monitoring and alarm method.

[0092] Referring to Figure 4 Based on the unified inventive concept of the above method, the disclosure further proposes a computer readable storage medium having stored thereon computer instructions, which, when executed, can implement the above-mentioned comprehensive grain storage base shallow silo construction monitoring and alarm method.

[0093] In the embodiments of the present application, any reference to memory, storage, database or other medium can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory.

[0094] It should be noted that, in the present document, relational terms such as "first" and "second", and the like can be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises", "comprising", or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but can include other elements not expressly listed or inherent to such process, method, article, or apparatus. An element proceeded by "comprises... a" does not, without more constraints, exclude the existence of additional identical elements in the process, method, article, or apparatus that comprises the element.

[0095] Although the present application has been described in detail with reference to the foregoing embodiments, it should be understood that modifications can be made to the foregoing embodiments, or additional implementations can be implemented, without departing from the spirit and scope of the inventive subject matter. Accordingly, the present application is not limited to the implementations described herein, but is intended to cover all modifications and equivalents falling within the spirit and scope of the inventive subject matter.

Claims

1. A construction monitoring and alarm method for shallow circular silos in a comprehensive grain storage base, characterized in that: include: Acquire silo monitoring data; wherein, the silo monitoring data includes existing silo data, construction data of newly built silos, and settlement of existing silos; the existing silo data includes silo tilt angle and vibration velocity, and the construction data of newly built silos includes pit dewatering rate and pit excavation depth; Based on the settlement amount, the degree of settlement of the existing silos is determined; Based on the existing silo data and the degree of settlement, the corrected existing silo data is determined; Based on the construction data of the newly built silo and the degree of settlement, the corrected construction data of the newly built silo is determined; Based on the settlement degree and the corrected existing silo data, a risk coupling factor for the existing silos is determined; the determination of the risk coupling factor based on the settlement degree and the corrected existing silo data is based on the settlement degree, the corrected tilt angle, and the corrected vibration velocity; the expression for determining the risk coupling factor for the existing silos is: In the formula, For the degree of settlement, To correct the tilt angle, The corrected vibration velocity, This refers to the existing risk coupling factors of silos; Based on the settlement degree and the corrected construction data of the new silo, the construction impact factor of the new silo is determined; the determination of the construction impact factor of the new silo based on the settlement degree and the corrected construction data of the new silo is based on the corrected precipitation rate and the corrected excavation depth; the expression for determining the construction impact factor of the new silo is: In the formula, Factors affecting the construction of new silos. To correct the precipitation rate, To adjust the excavation depth; Based on the existing silo risk coupling factor and the construction impact factor of the new silo, a risk value is determined, and an alarm is triggered based on the risk value. Specifically, determining the risk value involves weighted fusion of the existing silo risk coupling factor and the construction impact factor of the new silo to obtain the risk value. The expression for determining the risk value is: In the formula, This is the risk value. For existing silo risk coupling factors, Factors affecting the construction of new silos. The weights of existing silo risk coupling factors, The weights of the influencing factors for the construction of new silos are given, and .

2. The construction monitoring and alarm method for shallow circular silos in a comprehensive grain storage base according to claim 1, characterized in that, Based on the existing silo data and the degree of settlement, the corrected existing silo data is determined, specifically including: The corrected tilt angle is determined based on the silo tilt angle and the degree of settlement; The corrected vibration velocity is determined based on the vibration velocity and the degree of settlement.

3. The construction monitoring and alarm method for shallow circular silos in a comprehensive grain storage base according to claim 2, characterized in that, Based on the construction data of the newly built silo and the degree of settlement, the revised construction data for the newly built silo is determined, specifically including: The corrected dewatering rate is determined based on the aforementioned pit dewatering rate and the aforementioned settlement degree; The corrected excavation depth is determined based on the excavation depth of the foundation pit and the degree of settlement.

4. The construction monitoring and alarm method for shallow circular silos in a comprehensive grain storage base according to claim 1, characterized in that, The process of determining whether to issue an alarm based on the risk value specifically includes: The risk value is compared with a pre-set threshold to determine whether the risk value is greater than or equal to the threshold. If so, an alarm is triggered.

5. A construction monitoring and alarm system for shallow circular silos in a comprehensive grain storage base, characterized in that: include: The data acquisition module is used to acquire silo monitoring data; wherein, the silo monitoring data includes existing silo data and construction data of newly built silos, the existing silo data includes settlement, the existing silo data includes silo tilt angle and vibration velocity, and the construction data of newly built silos includes pit dewatering rate and pit excavation depth; The settlement degree determination module is used to determine the settlement degree of the existing silo based on the settlement amount; An existing data correction module is used to determine the corrected existing silo data based on the existing silo data and the degree of settlement. A new data correction module is established to determine the corrected construction data of the new silo based on the construction data of the new silo and the degree of settlement. The existing risk coupling factor determination module is used to determine the existing silo risk coupling factor based on the settlement degree and the corrected existing silo data; the determination of the existing silo risk coupling factor based on the settlement degree and the corrected existing silo data is based on the settlement degree, the corrected tilt angle, and the corrected vibration velocity; the expression for determining the existing silo risk coupling factor is: In the formula, For the degree of settlement, To correct the tilt angle, The corrected vibration velocity, This refers to the existing risk coupling factors of silos; A new construction impact factor determination module is used to determine the construction impact factor of the new silo based on the settlement degree and the corrected construction data of the new silo; the determination of the construction impact factor based on the settlement degree and the corrected construction data of the new silo is based on the corrected precipitation rate and the corrected excavation depth; the expression for determining the construction impact factor of the new silo is: In the formula, Factors affecting the construction of new silos. To correct the precipitation rate, To adjust the excavation depth; The risk alarm judgment module is used to determine a risk value based on the existing silo risk coupling factor and the construction impact factor of the new silo, and to determine whether to issue an alarm based on the risk value. Specifically, determining the risk value based on the existing silo risk coupling factor and the construction impact factor of the new silo includes: weighted fusion of the existing silo risk coupling factor and the construction impact factor of the new silo to obtain the risk value; the expression for determining the risk value is: In the formula, This is the risk value. For existing silo risk coupling factors, Factors affecting the construction of new silos. The weights of existing silo risk coupling factors, The weights of the influencing factors for the construction of new silos are given, and .

6. A device comprising a memory and a processor, wherein the memory stores computer instructions executable on the processor, characterized in that, When the processor executes the computer instructions, it performs the construction monitoring and alarm method for shallow circular silos in a comprehensive grain storage base as described in any one of claims 1 to 4.

7. A computer-readable storage medium storing computer instructions thereon, characterized in that, When the computer instructions are executed, the construction monitoring and alarm method for shallow circular silos in a comprehensive grain storage base, as described in any one of claims 1 to 4, can be implemented.

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