A tower crane standard section monitoring method and system

Abstract

The embodiments of the present specification provide a method and system for monitoring standard sections of a tower crane, the method comprising acquiring section monitoring data of a plurality of standard sections, the section monitoring data comprising position monitoring data and pressure monitoring data, the pressure monitoring data comprising static pressure data; determining the position stability corresponding to the plurality of standard sections based on the position monitoring data; determining the pressure stability corresponding to the plurality of standard sections based on the static pressure data; determining the static stability corresponding to the plurality of standard sections based on the position stability and the pressure stability; determining the standard section stability of the plurality of standard sections based on the static stability; and determining to reinforce the standard section based on the standard section stability.

Description

Technical Field

[0001] The present specification relates to a field, and in particular to a tower crane standard section monitoring method and system. Background Art

[0002] When installing a tower crane, it is necessary to connect multiple well-designed standard sections. These standard sections serve as the cornerstone of the tower crane structure, bearing weight and pressure. They are usually ensured to be stable as a whole by high-strength bolts, pins or welding. After the tower crane is installed, the performance of the standard sections may decline due to long-term use due to the influence of the environment, wear, aging and other factors, and they are prone to tipping or collapse.

[0003] CN115072598B discloses an artificial intelligence tower crane monitoring method and device. It monitors the major safety hazards of the tower crane in real time, records the operation data throughout the process, provides hazard warnings, and sends the warning events, time and tower crane attribute information to the supervision terminal to achieve remote monitoring and warning. However, it is impossible to determine the standard section where the problem occurs.

[0004] Therefore, it is hoped to provide a tower crane standard section monitoring method and system, which can timely monitor each standard section, determine the standard sections that need to be reinforced and reinforce them, so as to ensure the firmness and safety of the tower crane. Summary of the invention

[0005] One or more embodiments of the present specification provide a tower crane standard section monitoring method. The tower crane standard section detection method includes: obtaining section monitoring data of multiple standard sections, the section monitoring data includes position monitoring data and pressure monitoring data, and the pressure monitoring data includes static pressure data; based on the position monitoring data, determining the position stability corresponding to the multiple standard sections; based on the static pressure data, determining the pressure stability corresponding to the multiple standard sections; based on the position stability and the pressure stability, determining the static stability corresponding to the multiple standard sections; based on the static stability, determining the standard section stability of the multiple standard sections; based on the standard section stability, determining the reinforcement of the standard section.

[0006] One or more embodiments of the present specification provide a tower crane standard section monitoring system, the system comprising: an acquisition module, configured to acquire section monitoring data of a plurality of standard sections, the section monitoring data comprising position monitoring data and pressure monitoring data, the pressure monitoring data comprising static pressure data; a first determination module, configured to determine the position stability corresponding to the plurality of standard sections based on the position monitoring data; a second determination module, configured to determine the pressure stability corresponding to the plurality of standard sections based on the static pressure data; a third determination module, configured to determine the static stability corresponding to the plurality of standard sections based on the position stability and the pressure stability; a fourth determination module, configured to determine the standard section stability of the plurality of standard sections based on the static stability; and a fifth determination module, configured to determine a reinforced standard section based on the standard section stability.

[0007] One or more embodiments of the present specification provide a tower crane standard section monitoring device, the device comprising at least one processor and at least one memory; the at least one memory is used to store computer instructions; the at least one processor is used to execute at least part of the computer instructions to implement a tower crane standard section monitoring method.

[0008] One or more embodiments of the present specification provide a computer-readable storage medium, wherein the storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes a tower crane standard section monitoring method. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0010] Figure 1 is an exemplary module diagram of a tower crane standard section monitoring system according to some embodiments of this specification;

[0011] Figure 2 is an exemplary flow chart of a tower crane standard section monitoring method according to some embodiments of this specification;

[0012] Figure 3 is an exemplary schematic diagram of a first stable model according to some embodiments of this specification;

[0013] Figure 4 is an exemplary flow chart for determining the stability of a standard node according to some embodiments of the present specification. DETAILED DESCRIPTION

[0014] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0015] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0016] Unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "include" and "comprise" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0017] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0018] During the operation of the tower crane, it is affected by the environment, wear, aging and other factors for a long time, and the performance of the standard section may decline, which may easily cause problems such as dumping or collapse. At present, CN115072598B provides an artificial intelligence tower crane monitoring method and device. Real-time monitoring of major hazard sources is carried out while the tower crane is running, and operation data is recorded throughout the process to provide hazard warnings. The warning events, time and tower crane attribute information are sent to the supervision terminal to realize remote off-site monitoring and warning. However, it does not take into account how to determine the standard section with problems and then accurately reinforce it, resulting in a large amount of manpower and material resources required for investigation after the warning occurs.

[0019] In view of this, this invention describes some embodiments, which obtain the position monitoring data and pressure monitoring data of the standard section, determine the standard section stability of each standard section, and accurately locate the standard section with problems while monitoring and warning the entire tower crane equipment, so as to repair and reinforce it in time, thereby avoiding the possibility of the tower crane toppling and collapsing, and maintaining the safe and stable operation of the tower crane.

[0020] Figure 1It is an exemplary module diagram of the tower crane standard section monitoring system shown in some embodiments of this specification. In some embodiments, the tower crane standard section monitoring system 100 may include an acquisition module 110, a first determination module 120, a second determination module 130, a third determination module 140, a fourth determination module 150 and a fifth determination module 160. The tower crane standard section monitoring system 100 involved in the embodiments of this specification will be described in detail below. It should be noted that the following embodiments are only used to explain this specification and do not constitute a limitation on this specification.

[0021] In some embodiments, the acquisition module 110 may be configured to acquire node monitoring data of a plurality of standard nodes, where the node monitoring data includes position monitoring data and pressure monitoring data, where the pressure monitoring data includes static pressure data.

[0022] In some embodiments, the first determination module 120 may be configured to determine the position stability corresponding to a plurality of standard nodes based on the position monitoring data.

[0023] In some embodiments, the second determination module 130 may be configured to determine the pressure stability corresponding to a plurality of standard sections based on the static pressure data.

[0024] In some embodiments, the third determination module 140 may be configured to determine static stability corresponding to a plurality of standard nodes based on position stability and pressure stability;

[0025] In some embodiments, the fourth determination module 150 may be configured to determine the standard section stability of the plurality of standard sections based on the static stability;

[0026] In some embodiments, the fifth determination module 160 may be configured to determine the reinforcement standard section based on the standard section stability.

[0027] In some embodiments, the node monitoring data may also include dynamic monitoring data; the pressure monitoring data may also include dynamic pressure data; the acquisition module 110 may be further configured to acquire dynamic pressure data in response to the dynamic monitoring data satisfying a dynamic preset condition.

[0028] In some embodiments, the acquisition module 110 is further configured to acquire first dynamic data, first dynamic information, and climbing information when the operator is climbing on the tower crane.

[0029] In some embodiments, the third determination module 140 is further configured to determine a first degree of stability corresponding to the plurality of standard sections based on the static pressure data, the first dynamic data, the first dynamic information, and the climbing information.

[0030] In some embodiments, the fourth determination module 150 is further configured to determine a standard node stability based on the first stability and the static stability.

[0031] In some embodiments, the acquisition module 110 is further configured to acquire the second dynamic data, the second dynamic information and the tower crane operation data when the tower crane is operating.

[0032] In some embodiments, the third determination module 140 is further configured to determine the second stability corresponding to the plurality of standard sections based on the static pressure data, the second dynamic data, the second dynamic information and the tower crane operation data.

[0033] In some embodiments, the fourth determination module 150 is further configured to determine a standard node stability based on the second stability and the static stability.

[0034] In some embodiments, the fifth determination module 160 may be further configured to determine the reinforcement standard section based on the standard section stability and future operation data.

[0035] In some embodiments, the tower crane standard section monitoring system 100 may also include a processor, a storage device, a network, a user terminal and / or other components for connecting the system with external resources.

[0036] In some embodiments, the processor can process information and / or data related to the tower crane standard section monitoring system 100 to perform one or more functions described in this specification. For example, the processor can determine the position stability corresponding to multiple standard sections based on the position monitoring data. In some embodiments, the processor can include one or more processing engines (e.g., a single-chip processing engine or a multi-chip processing engine).

[0037] In some embodiments, the processor may include an acquisition module 110 , a first determination module 120 , a second determination module 130 , a third determination module 140 , a fourth determination module 150 , a fifth determination module 160 , and the like.

[0038] In some embodiments, the processor may obtain pre-stored data and / or information related to the tower crane standard section monitoring system 100 from a storage device. The processor may obtain data and / or information related to the tower crane standard section monitoring system 100 through a network. A user terminal may refer to one or more terminal devices or software used by a user. A user may refer to an administrator or operator of the tower crane standard section monitoring system 100, etc.

[0039] For more information on the above, see Figures 2 to 4 Related description in .

[0040] It should be understood that Figure 1The system and its modules shown can be implemented in various ways. It should be noted that the above description of the tower crane standard section monitoring system 100 and its modules is only for the convenience of description and cannot limit this specification to the scope of the embodiments. It is understandable that for those skilled in the art, after understanding the principle of the system, it is possible to arbitrarily combine the modules or form a subsystem to connect with other modules without deviating from this principle. In some embodiments, Figure 1 The acquisition module 110, the first determination module 120, the second determination module 130, the third determination module 140, the fourth determination module 150 and the fifth determination module 160 disclosed in the specification can be different modules in a system, or a module can realize the functions of two or more of the above modules. For example, each module can share a storage module, or each module can have its own storage module. Such variations are all within the protection scope of this specification.

[0041] Figure 2 FIG. 1 is an exemplary flow chart of a tower crane standard section monitoring method according to some embodiments of this specification. Figure 2 As shown, the process 200 includes the following steps: In some embodiments, the process 200 can be executed by the tower crane standard section monitoring system 100 .

[0042] Step 210, obtaining node monitoring data of a plurality of standard nodes.

[0043] A standard section refers to a tower section of a tower crane with standard dimensions. In some embodiments, a standard section may include a main chord, a straight web member, a horizontal diagonal web member, a step, and a connecting sleeve, etc. In some embodiments, a tower crane may include a plurality of standard sections connected in sequence.

[0044] The node monitoring data refers to relevant monitoring data about a standard node. In some embodiments, the node monitoring data may include multiple groups, and each standard node may correspond to a group of node monitoring data.

[0045] In some embodiments, the node monitoring data may include position monitoring data and pressure monitoring data, etc. Each standard node may correspond to a set of position monitoring data and pressure monitoring data, etc.

[0046] In some embodiments, the tower crane standard section monitoring system 100 can obtain the section monitoring data of each standard section through the network and / or monitoring equipment. The monitoring equipment refers to a device used to monitor the section monitoring data of multiple standard sections. Each standard section can be equipped with a set of monitoring equipment, which can be used to obtain a set of section monitoring data corresponding to each standard section. In some embodiments, a set of monitoring equipment for each standard section can include position monitoring equipment, pressure detection equipment, dynamic monitoring equipment, etc. For more information about position detection equipment, pressure detection equipment, dynamic monitoring equipment, etc., please refer to Figure 2 The following is a description of the relevant.

[0047] Position monitoring data refers to monitoring data related to the position of each standard section. In some embodiments, the position monitoring data may include the offset value of the standard section in the horizontal direction, the offset value of the standard section in the vertical direction, and the verticality of the standard section. The offset value of the standard section in the horizontal direction refers to the horizontal offset of each standard section relative to the standard section when the tower crane is installed. The offset value of the standard section in the vertical direction refers to the vertical offset of each standard section relative to the standard section when the tower crane is installed. The verticality of the standard section refers to the degree of deviation of the central axis of the top surface of the standard section relative to the central axis of the bottom surface. In some embodiments, the verticality of the standard section can be expressed by the ratio of the deviation angle of the central axis of the top surface relative to the central axis of the bottom surface to the height of the standard section.

[0048] In some embodiments, the tower crane standard section monitoring system 100 can obtain the position monitoring data corresponding to each standard section through the position monitoring device corresponding to each standard section. The position monitoring device refers to a device used to monitor the position monitoring data of each standard section. For example, any monitoring device that can monitor the offset of the position, such as a laser rangefinder. In some embodiments, the position monitoring device corresponding to each standard section can be set to an installation position according to monitoring requirements and human experience. For example, the position monitoring device can be installed on the main chord of the standard section. In some embodiments, each standard section can include at least one position monitoring device.

[0049] Pressure monitoring data refers to the pressure data about each part of each standard section. For example, the pressure monitoring data of standard section a may include the pressure monitoring data of the contact surface between standard section a and the upper standard section b, the contact surface between standard section a and the lower standard section c, the four corners of the frame of standard section a, the upper and lower interfaces, the bolted joints and other positions. The upper standard section b refers to the standard section above the standard section a. The lower standard section c refers to the standard section below the standard section a. The upper and lower interfaces refer to the interfaces where the upper standard section b or the lower standard section c is connected to the standard section a. The bolted joint refers to the position where the various parts of the standard section a are connected to each other by bolts.

[0050] In some embodiments, the pressure monitoring data may include static pressure data. Static pressure data refers to pressure monitoring data of the standard section when it is stationary and not bearing weight. For example, pressure monitoring data of each standard section when there is no operator on the tower crane and the tower crane is not in operation.

[0051] In some embodiments, the tower crane standard section monitoring system 100 can obtain the pressure monitoring data corresponding to each standard section through the pressure monitoring device corresponding to each standard section. The pressure monitoring device refers to a device used to monitor the pressure monitoring data of each standard section. For example, any monitoring device that can monitor pressure, such as a pressure sensor. In some embodiments, the pressure monitoring device corresponding to each standard section can be set to an installation position according to monitoring requirements and human experience. For example, a film pressure sensor can be installed at the bolt connection of the standard section. For another example, a film pressure sensor can be installed on the contact surface between the standard section a and the upper standard section b. In some embodiments, each standard section may include at least one pressure monitoring device.

[0052] In some embodiments, the node monitoring data may also include dynamic monitoring data.

[0053] Dynamic monitoring data refers to monitoring data of the standard section in motion. In some embodiments, the dynamic monitoring data may include sound data and vibration data. Sound data refers to data related to sound generated by the standard section. In some embodiments, the sound data may include sound signals. Vibration data refers to data related to vibration generated by the standard section. In some embodiments, the vibration data may include vibration signals.

[0054] In some embodiments, the tower crane standard section monitoring system 100 can obtain the dynamic monitoring data corresponding to each standard section through the dynamic monitoring equipment corresponding to each standard section. The dynamic monitoring equipment refers to a device used to monitor the dynamic monitoring data of each standard section. In some embodiments, the dynamic monitoring equipment may include any monitoring equipment such as a sound sensor and a vibration sensor that can monitor sound data and vibration data. In some embodiments, the dynamic monitoring equipment of each standard section can be set to an installation position according to monitoring requirements and human experience. For example, the dynamic monitoring equipment can be installed at the four corners of the frame of the standard section, etc. In some embodiments, each standard section may include at least one dynamic monitoring device.

[0055] In some embodiments, the tower crane standard section monitoring system 100 can obtain the sound signal corresponding to each standard section through the sound sensor corresponding to the standard section, and determine the spectrum characteristics of the sound signal through a spectrum analysis algorithm based on the sound signal. In some embodiments, the tower crane standard section monitoring system 100 can obtain the vibration signal corresponding to each standard section through the vibration sensor corresponding to the standard section, and determine the spectrum characteristics of the vibration signal through a spectrum analysis algorithm based on the vibration signal. For example, the spectrum analysis algorithm may include but is not limited to at least one of the Fast Fourier Transform (FFT) algorithm, the Hilbert-Huang Transform (HHT) algorithm, the Modified Covariance Power Spectral Density Estimation (MCM) algorithm, and the like.

[0056] In some embodiments, the pressure monitoring data may also include dynamic pressure data. Dynamic pressure data refers to the pressure monitoring data of the standard section in motion. In some embodiments, the tower crane standard section monitoring system 100 may obtain the dynamic pressure data corresponding to each standard section through the pressure monitoring device of each standard section.

[0057] In some embodiments, the dynamic pressure data may include first dynamic data and second dynamic data, etc. For more information about the first dynamic data and the second dynamic data, see Figure 2 The following or Figure 4 and its related description.

[0058] In some embodiments, in response to the dynamic monitoring data satisfying a dynamic preset condition, the tower crane standard section monitoring system 100 may acquire dynamic pressure data.

[0059] The dynamic preset condition refers to the relevant conditions for obtaining the dynamic pressure data of the standard section. In some embodiments, the dynamic preset condition may be that the similarity between the frequency spectrum characteristics of the sound signal of the standard section in motion and the frequency spectrum characteristics of the sound signal of the standard section in a stationary state is less than the sound preset threshold. The sound preset threshold refers to the critical value of the similarity between the sound data when the standard section is in motion and the sound data when the standard section is stationary. In some embodiments, the dynamic preset condition may be that the similarity between the frequency spectrum characteristics of the vibration signal of the standard section in motion and the frequency spectrum characteristics of the vibration signal of the standard section in a stationary state is less than the vibration preset threshold. The vibration preset threshold refers to the critical value of the similarity between the vibration data when the standard section is in motion and the vibration data when the standard section is stationary. The sound preset threshold and the vibration preset threshold can be determined based on historical data. In some embodiments, the dynamic preset condition can be manually preset by an operator.

[0060] In some embodiments, the tower crane standard section monitoring system 100 can determine the sound preset threshold and / or vibration preset threshold respectively based on the spectral characteristics of the sound signal and / or vibration signal in a static state and the spectral characteristics of the sound signal and / or vibration signal in multiple historical motion states. For example, the tower crane standard section monitoring system 100 can calculate the similarity between the spectral characteristics of the sound signal and / or vibration signal in a static state and the spectral characteristics of the sound signal and / or vibration signal in multiple historical motion states of different strengths, and use the highest similarity as the sound preset threshold and / or vibration preset threshold. For more information on obtaining spectral characteristics, please refer to Figure 2 Related description of step 210. The strength of the movement refers to the size of the movement amplitude. For example, when the operator climbs on the standard section, a loud sound and vibration are generated, indicating that the standard section is in a strong state of movement. In some embodiments, the strength of the movement state of the standard section can be determined based on the strength of the sound signal and / or vibration signal obtained by the dynamic monitoring device. It can be understood that the highest similarity can indicate that the movement state of the standard section is closest to the static state. The highest similarity is used as the sound preset threshold and / or the vibration preset threshold. The system can perform dynamic pressure monitoring on the standard section when it detects that the standard section has the weakest movement, which is helpful to determine the stability of the standard section in motion.

[0061] In some embodiments, when the dynamic monitoring data of one or more standard sections among a plurality of standard sections meets a dynamic preset condition, the tower crane standard section monitoring system 100 may obtain dynamic pressure data corresponding to the one or more standard sections.

[0062] In some embodiments of the present specification, by monitoring the dynamic monitoring data of the standard section, the stability of the standard section in motion can be quickly determined. By setting dynamic preset conditions, the pressure monitoring of the standard section can be performed when weaker movement occurs in the standard section, which is more accurate and convenient.

[0063] Step 220, based on the position monitoring data, determine the position stability corresponding to the plurality of standard nodes.

[0064] Position stability refers to the degree of stability used to characterize the position of the standard section. In some embodiments, the position stability can be expressed by a numerical value. The larger the numerical value of the position stability, the more stable the position of the standard section.

[0065] In some embodiments, the tower crane standard section monitoring system 100 can determine the position stability corresponding to each standard section in multiple standard sections in a variety of ways based on each set of position monitoring data in multiple sets of position monitoring data of multiple standard sections. In some embodiments, the position stability of each standard section can be negatively correlated to the degree of deviation of the standard section. For example, the degree of deviation of the standard section can be represented by the deviation value of the standard section in the horizontal direction, the deviation value of the standard section in the vertical direction, and the verticality of the standard section. The greater the deviation of the standard section, the lower the position stability of the corresponding standard section. Exemplarily, the position stability corresponding to each standard section can be determined by formula (1):

[0066] P = k1 / M1 + k2 / M2 + k3 / M3 (1)

[0067] Wherein, P is the position stability corresponding to the standard section; M1 is the offset value of the standard section in the horizontal direction; M2 is the offset value of the standard section in the vertical direction; M3 is the verticality of the standard section; k1, k2 and k3 are preset coefficients. In some embodiments, k1, k2 and k3 can be preset manually. In some embodiments, k1, k2 and k3 are positive values. For example, k1, k2 and k3 can all be 1. k1, k2 and k3 can also be preset to other values ​​according to requirements.

[0068] In some embodiments, the tower crane standard section monitoring system 100 may also determine the position stability corresponding to each standard section in the multiple standard sections based on each set of position monitoring data in the multiple sets of position monitoring data of the multiple standard sections by other means.

[0069] Step 230, based on the static pressure data, determine the pressure stability corresponding to the plurality of standard sections.

[0070] Pressure stability refers to the degree of stability of the pressure to which the standard section is subjected. In some embodiments, the pressure stability can be expressed by a numerical value. The larger the numerical value of the pressure stability, the more stable the pressure to which the standard section is subjected.

[0071] In some embodiments, the tower crane standard section monitoring system 100 can determine the pressure stability of each standard section in multiple standard sections in a variety of ways based on each set of static pressure data in multiple sets of static pressure data of multiple standard sections. In some embodiments, the tower crane standard section monitoring system 100 can determine the static pressure difference of each position of the standard section based on the initial static pressure data and the current static pressure data of the standard section. The initial static pressure data refers to the static pressure data of each position of the standard section when the tower crane is installed. In some embodiments, the tower crane standard section monitoring system 100 can obtain the initial static pressure data through the pressure monitoring device when the tower crane is installed, and store the initial static pressure data in the storage device. The static pressure difference refers to the absolute value of the difference between the current static pressure data of the standard section and the initial static pressure data. In some embodiments, the tower crane standard section monitoring system 100 can determine the pressure stability corresponding to each standard section based on the static pressure difference of each position of the standard section. In some embodiments, the pressure stability corresponding to each standard section can be negatively correlated to the static pressure difference of each position of the standard section. The larger the static pressure difference of each position of the standard section, the lower the pressure stability of the corresponding standard section. For example, the pressure stability corresponding to each standard node can be determined by formula (2):

[0072] S=Σ(ti / Δpi) (2)

[0073] Wherein, S is the pressure stability corresponding to each standard section; Δpi is the static pressure difference at the i-th position of the standard section; ti is the weight coefficient of the i-th position of the standard section. In some embodiments, the weight coefficient ti can be manually preset based on actual conditions. For example, the weight coefficient ti can be 1. The weight coefficient ti can also be preset to other values ​​according to requirements.

[0074] In some embodiments, the tower crane standard section monitoring system 100 may also determine the pressure stability corresponding to each standard section in the multiple standard sections based on each set of static pressure data in the multiple sets of static pressure data of the multiple standard sections by other means.

[0075] Step 240, based on the position stability and the pressure stability, determine the static stability corresponding to the plurality of standard nodes.

[0076] Static stability refers to the degree of stability of the standard section in a static state. In some embodiments, the static stability can be expressed by a numerical value. The larger the numerical value of the static stability, the more stable the standard section is in a static state.

[0077] In some embodiments, the tower crane standard section monitoring system 100 can determine the static stability corresponding to each standard section in a plurality of standard sections by a plurality of methods based on each group of position stability and pressure stability in a plurality of groups of position stability and pressure stability of a plurality of standard sections. In some embodiments, the static stability corresponding to each standard section can be positively correlated to the position stability and pressure stability corresponding to the standard section. The greater the position stability and pressure stability corresponding to the standard section, the higher the static stability of the corresponding standard section. In some embodiments, the tower crane standard section monitoring system 100 can determine the static stability corresponding to each standard section by formula calculation based on each group of position stability and pressure stability in a plurality of groups of position stability and pressure stability of a plurality of standard sections. Exemplarily, the static stability corresponding to each standard section can be determined by formula (3):

[0078] R = m1 P + m2 S (3)

[0079] Wherein, R is static stability; m1 is the weight coefficient of position stability; m2 is the weight coefficient of pressure stability; P is position stability; S is pressure stability. In some embodiments, m1 and m2 can be manually preset based on actual conditions. In some embodiments, the weight coefficient m1 of position stability and the weight coefficient m2 of pressure stability can be 1 respectively. In some embodiments, the weight coefficient m1 of position stability and the weight coefficient m2 of pressure stability can also be preset to other values ​​according to requirements.

[0080] In some embodiments, the weight coefficient m1 of the position stability and the weight coefficient m2 of the pressure stability may be respectively related to the basic information of the corresponding standard node.

[0081] In some embodiments, the basic information of the standard section refers to information related to the properties of the standard section. For example, the basic information of the standard section may include the size, weight, and height of the standard section. In some embodiments, the basic information of the standard section may also include the use time and quality inspection information of the standard section. In some embodiments, the basic information of the standard section may also include the location information of the standard section. For example, the standard section is located at the bottom layer, the standard section is located at the middle layer, or the standard section is located at the top layer. In some embodiments, the basic information of the standard section may be manually input by the operator and stored in the storage device by the tower crane standard section monitoring system.

[0082] In some embodiments, the tower crane standard section monitoring system 100 can determine the weight coefficient m1 of the position stability and the weight coefficient m2 of the pressure stability corresponding to each standard section by querying a preset table based on the basic information of each standard section. The preset table can include the corresponding relationship between the basic information of different standard sections and the weight coefficient m1 of the position stability and the weight coefficient m2 of the pressure stability corresponding to the standard section. The preset table can be artificially constructed based on historical experience.

[0083] In the embodiments of the present specification, the weight coefficients of the position stability and the pressure stability are respectively determined based on the basic information of the standard node, so that attention can be paid to different types of stability of standard nodes in different positions. For example, for the bottom standard node, more attention can be paid to the position stability, and for the top standard node, more attention can be paid to the pressure stability, which is more cost-effective and also ensures comprehensive monitoring of the standard node.

[0084] Step 250 , based on the static stability, determine the standard section stability of the plurality of standard sections.

[0085] The stability of the standard section refers to the degree of stability of each standard section. In some embodiments, the stability of the standard section can be represented by a numerical value. The larger the numerical value of the stability of the standard section, the more stable the corresponding standard section.

[0086] In some embodiments, the tower crane standard section monitoring system 100 can determine the standard section stability of multiple standard sections in a variety of ways. In some embodiments, the tower crane standard section monitoring system 100 can determine the standard section stability of each standard section in the multiple standard sections based on the static stability of each standard section in the multiple standard sections. For example, the tower crane standard section monitoring system 100 can respectively determine the static stability of each standard section as the standard section stability corresponding to each standard section.

[0087] In some embodiments, the dynamic pressure data may also include first dynamic data. In some embodiments, the tower crane standard section monitoring system 100 may obtain first dynamic data, first dynamic information, and climbing information of an operator when climbing on a tower crane; determine first stability corresponding to a plurality of standard sections based on static pressure data, first dynamic data, first dynamic information, and climbing information; and determine standard section stability based on the first stability and static stability.

[0088] The first dynamic data refers to the dynamic pressure data of one or more standard sections monitored and obtained by the operator when climbing on the tower crane. At this time, the one or more standard sections are one or more standard sections whose dynamic monitoring data meets the dynamic preset conditions. The first dynamic data may include one or more groups of data, and one group of data may correspond to one standard section. Similarly, the following first dynamic information and climbing information are also relevant data corresponding to one or more standard sections whose dynamic monitoring data meets the dynamic preset conditions. For more information about the first dynamic information and climbing information, please refer to Figure 2 Step 250 is described below.

[0089] In some embodiments, the first dynamic data may include pressure data at various positions of the standard section when the operator climbs on the tower crane. For example, the first dynamic data of the standard section d may include pressure data at the contact surface between the standard section d and the upper standard section e, the contact surface between the standard section d and the lower standard section f, the four corners of the frame of the standard section d, the upper and lower interfaces, the bolt connection, etc. when the operator climbs on the tower crane. For more information about the upper standard section, the lower standard section, the upper and lower interfaces, and the bolt connection, please refer to Figure 2 Related description of the above step 210.

[0090] In some embodiments, the tower crane standard section monitoring system 100 can obtain the first dynamic data corresponding to one or more standard sections through pressure monitoring devices corresponding to one or more standard sections. For example, the pressure monitoring device can include a pressure sensor, etc. For more information about the pressure monitoring device, see Figure 2 Related description of the above step 210.

[0091] In some embodiments, the first dynamic data of the current standard section may include data of the current standard section in three situations: the operator is at the standard section below the current standard section, the operator is at the current standard section, and the operator is at the standard section above the current standard section.

[0092] The current standard section refers to the standard section that is undergoing the first dynamic data monitoring. The first dynamic data of the current standard section corresponding to the operator climbing the current standard section can be represented by the first middle dynamic data. The lower standard section refers to the standard section below the current standard section. The first dynamic data of the current standard section corresponding to the operator climbing the standard section below the current standard section can be represented by the first lower dynamic data. The upper standard section refers to the standard section above the current standard section. The first dynamic data of the current standard section corresponding to the operator climbing the standard section above the current standard section can be represented by the first upper dynamic data.

[0093] In some embodiments, the tower crane standard section monitoring system 100 can monitor the first lower dynamic data, the first middle dynamic data and the first upper dynamic data respectively corresponding to the operator climbing the lower standard section, the operator climbing the current standard section and the operator climbing the upper standard section through the pressure monitoring device of the current standard section. For more information about the pressure monitoring device, please refer to Figure 2 Step 210 is described above.

[0094] In the embodiments of this specification, combining the influence of the operator on the dynamic pressure data of the current standard section when climbing the upper standard section, the current standard section and the lower standard section is conducive to determining the stability of each standard section more comprehensively and accurately in the future.

[0095] The first dynamic information refers to the dynamic monitoring data of one or more standard sections when the operator climbs on the tower crane. The first dynamic information may include one or more groups of data, and one group of data may correspond to one standard section. In some embodiments, the first dynamic information may include sound data and vibration data of one or more standard sections when the operator climbs on the tower crane.

[0096] In some embodiments, the tower crane standard section monitoring system 100 can obtain the first dynamic information corresponding to one or more standard sections through dynamic monitoring devices corresponding to one or more standard sections. For example, the dynamic monitoring device can include a sound sensor and a vibration sensor. For more information about the dynamic monitoring device, see Figure 2 Step 210 is described above.

[0097] Climbing information refers to the relevant information corresponding to one or more standard sections when the operator climbs on the tower crane. The climbing information may include one or more groups of data, and a group of data may correspond to one standard section. In some embodiments, the climbing information may include at least one of the operator's weight, climbing speed, and climbing height. In some embodiments, the climbing speed is positively correlated with the climbing height and negatively correlated with the time the operator takes to climb the current standard section. For example, the climbing speed can be determined by the formula: climbing speed = climbing height / time taken to climb the current standard section. The climbing height refers to the height of the current standard section itself.

[0098] In some embodiments, the tower crane standard section monitoring system 100 can obtain climbing information corresponding to one or more standard sections in a variety of ways. For example, the operator can manually input the operator's weight and climbing height into the tower crane standard section monitoring system 100. For another example, the tower crane standard section monitoring system 100 can calculate the operator's climbing speed based on the climbing height and the time the operator spends climbing the current standard section. In some embodiments, the tower crane standard section monitoring system 100 can also obtain climbing information corresponding to one or more standard sections in other ways.

[0099] The first stability refers to the dynamic stability of one or more standard sections when an operator climbs on a tower crane. The first stability may include one or more sets of data, and a set of data may correspond to one standard section.

[0100] In some embodiments, the tower crane standard section monitoring system 100 can determine the first stability corresponding to one or more standard sections in a variety of ways based on the static pressure data, the first dynamic data, the first dynamic information and the climbing information.

[0101] For example, taking a standard section as an example, the tower crane standard section monitoring system 100 can determine the first stability of the standard section through the following steps.

[0102] S11, determining first fitting dynamic data based on the static pressure data, the climbing information and the first fitting relationship.

[0103] In some embodiments, the tower crane standard section monitoring system 100 may determine the first fitting relationship based on historical data.

[0104] The first fitting relationship refers to a fitting relationship that can characterize the static pressure data, the dynamic pressure data, and the climbing information.

[0105] In some embodiments, the first fitting relationship may include multiple, each first fitting relationship is a fitting relationship corresponding to each standard section in the multiple standard sections. In some embodiments, the first fitting relationship may be a fitting relationship common to multiple standard sections. The fitting relationship common to multiple standard sections may be determined based on historical data of multiple standard sections. The following takes a standard section as an example:

[0106] In some embodiments, the tower crane standard section monitoring system 100 can determine the first fitting relationship based on the historical static pressure data, the historical first dynamic data and the historical climbing information in the historical data. The historical static pressure data refers to the static pressure data that has been monitored. The historical first dynamic data refers to the dynamic pressure data that has been monitored after the operator has performed multiple historical climbs. The historical climbing information refers to the climbing information of the operator performing multiple historical climbs. Among them, the historical climbing refers to the different climbs performed by the operator at multiple historical time points.

[0107] In some embodiments, after the tower crane is installed, multiple historical climbs can be performed. The tower crane standard section monitoring system 100 can monitor and obtain the historical first dynamic data and historical climbing information of multiple historical climbs, as well as monitor and obtain the historical static pressure data before each climb and store it in a storage device.

[0108] In some embodiments, the tower crane standard section monitoring system 100 can determine the first fitting relationship through a fitting algorithm based on historical static pressure data, historical first dynamic data and historical climbing information of multiple historical climbs. For example, the fitting algorithm can include a combination of one or more of the least squares method, principal component analysis (PCA), support vector machine (SVM), genetic algorithm (GA) and artificial neural network (ANN).

[0109] In some embodiments, the first fitting relationship may include an upper fitting relationship, a middle fitting relationship, and a lower fitting relationship. The upper fitting relationship refers to the fitting relationship between the historical first dynamic data, historical static pressure data, and historical climbing information of the upper standard section of the current standard section when the operator climbs the upper standard section of the current standard section. The upper fitting relationship can characterize the influence of the operator on the current standard section when climbing the upper standard section. The middle fitting relationship refers to the fitting relationship between the historical first dynamic data, historical static pressure data, and historical climbing information of the current standard section when the operator climbs the current standard section. The lower fitting relationship refers to the fitting relationship between the historical first dynamic data, historical static pressure data, and historical climbing information of the lower standard section when the operator climbs the lower standard section of the current standard section. The lower fitting relationship can characterize the influence of the operator on the current standard section when climbing the lower standard section.

[0110] In some embodiments, after the tower crane is installed, the tower crane standard section monitoring system 100 can obtain the historical data of the current standard section corresponding to the three situations of the operator climbing the upper standard section, the current standard section and the lower standard section respectively in different ways based on multiple historical climbs. Among them, the historical data may include the historical first dynamic data, the historical static pressure data and the historical climbing information. Taking the operator climbing the upper standard section as an example, after the tower crane is installed, the operator can perform multiple historical climbs on the upper standard section of the current standard section. The tower crane standard section monitoring system 100 can monitor and obtain the historical first dynamic data and historical static pressure data of the current standard section when climbing the upper standard section multiple times, as well as the historical climbing information of the upper standard section, and store them in a storage device. Similarly, the tower crane standard section monitoring system 100 can also obtain the historical data of the current standard section when the operator performs multiple historical climbs on the lower standard section and the historical data of the current standard section when climbing the current standard section by a similar method.

[0111] In some embodiments, the tower crane standard section monitoring system 100 can determine the upper fitting relationship, the middle fitting relationship and the lower fitting relationship through a fitting algorithm based on the historical static pressure data, the historical first dynamic data and the historical climbing information of multiple historical climbs. For example, the tower crane standard section monitoring system 100 can determine the upper fitting relationship through a fitting algorithm based on the historical static pressure data and the historical first dynamic data of the current standard section when the operator climbs the standard section above the current standard section multiple times in history, as well as the historical climbing information of the upper standard section. Among them, the fitting algorithm can include a combination of one or more of the least squares method, PCA, SVM, GA and ANN. Similarly, the tower crane standard section monitoring system 100 can also determine the middle fitting relationship and the lower fitting relationship through a similar method.

[0112] The first fitted dynamic data refers to the dynamic pressure data fitted by the system when the operator climbs on the tower crane.

[0113] In some embodiments, the tower crane standard section monitoring system 100 can determine the first fitting dynamic data of the standard section based on the static pressure data, climbing information and the first fitting relationship of the standard section. The tower crane standard section monitoring system 100 can determine the first fitting dynamic data of different standard sections based on the static pressure data, climbing information and the first fitting relationship corresponding to different standard sections.

[0114] In some embodiments, the first fitting dynamic data may include first upper fitting data, first middle fitting data, and first lower fitting data.

[0115] The first upper fitting data refers to the first dynamic fitting data of the current standard section when the operator climbs the upper standard section. In some embodiments, the tower crane standard section monitoring system 100 can determine the first upper fitting data of different standard sections based on the static pressure data and climbing information corresponding to different standard sections and the upper fitting relationship. The first middle fitting data refers to the first dynamic fitting data of the current standard section when the operator climbs the current standard section. In some embodiments, the tower crane standard section monitoring system 100 can determine the first middle fitting data of different standard sections based on the static pressure data and climbing information corresponding to different standard sections and the middle fitting relationship. The first lower fitting data refers to the first dynamic fitting data of the current standard section when the operator climbs the lower standard section. In some embodiments, the tower crane standard section monitoring system 100 can determine the first lower fitting data of different standard sections based on the static pressure data and climbing information corresponding to different standard sections and the lower fitting relationship.

[0116] S12: Determine a first similarity based on the first dynamic data and the first fitting dynamic data.

[0117] The first similarity refers to the similarity between the first dynamic data and the first fitting dynamic data. In some embodiments, the tower crane standard section monitoring system 100 can determine the first similarity in a variety of ways. In some embodiments, the tower crane standard section monitoring system 100 can construct a dynamic pressure vector of the first dynamic data and a dynamic pressure vector of the first fitting dynamic data, respectively, and calculate the similarity between the two dynamic pressure vectors, and use the similarity between the two dynamic pressure vectors as the first similarity.

[0118] In some embodiments, the first similarity of the standard section is also positively correlated with the upper similarity, middle similarity, and lower similarity of the standard section. The greater the upper similarity, middle similarity, and lower similarity of the standard section, the greater the first similarity of the standard section. Exemplarily, the first similarity can be calculated by formula (4):

[0119] S1 = n1 U+n2 Me + n3 Be (4)

[0120] Among them, S1 is the first similarity; U is the upper similarity; Me is the middle similarity; Be is the lower similarity; n1, n2 and n3 are the upper similarity coefficient, the middle similarity coefficient and the lower similarity coefficient respectively. n1, n2 and n3 can be manually preset based on experience. For example, the upper similarity coefficient and the lower similarity coefficient can be equal, and both are smaller than the middle similarity coefficient. For another example, the upper similarity coefficient and the lower similarity coefficient can be unequal. In some embodiments, there can be other size relationships between the upper similarity coefficient, the middle similarity coefficient and the lower similarity coefficient.

[0121] The upper similarity refers to the similarity between the first dynamic data and the first upper fitting data when the operator climbs the standard section above the current standard section. In some embodiments, the tower crane standard section monitoring system 100 can respectively construct the dynamic pressure vector of the first dynamic data and the dynamic pressure vector of the first upper fitting data when the operator climbs the standard section above the current standard section, and calculate the similarity between the two dynamic pressure vectors, and use the similarity between the two dynamic pressure vectors as the upper similarity. The middle similarity refers to the similarity between the first dynamic data and the first middle fitting data when the operator climbs the current standard section. In some embodiments, the tower crane standard section monitoring system 100 can respectively construct the dynamic pressure vector of the first dynamic data and the dynamic pressure vector of the first middle fitting data when the operator climbs the current standard section, and calculate the similarity between the two dynamic pressure vectors, and use the similarity between the two dynamic pressure vectors as the middle similarity. The lower similarity refers to the similarity between the first dynamic data and the first lower fitting data when the operator climbs the standard section below the current standard section. In some embodiments, the tower crane standard section monitoring system 100 can respectively construct a dynamic pressure vector of the first dynamic data and a dynamic pressure vector of the first lower fitting data when the operator climbs the standard section below the current standard section, and calculate the similarity between the two dynamic pressure vectors, and use the similarity between the two dynamic pressure vectors as the lower similarity.

[0122] S13: Determine a second similarity based on the first dynamic information and the first reference frequency spectrum feature.

[0123] In some embodiments, the tower crane standard section monitoring system 100 can calculate the similarity between the spectral characteristics of the first dynamic information and the first reference spectral characteristics of the sound data and vibration data corresponding to the climbing information based on the first dynamic information, and use it as the second similarity. In some embodiments, the tower crane standard section monitoring system 100 can respectively construct the spectral feature vector of the first dynamic information and the first reference spectral feature vector, calculate the vector distance between the two vectors, and determine the second similarity based on the vector distance. The vector distance may include cosine distance, Euclidean distance, or Hamming distance, etc. The spectral characteristics can be determined by a spectral analysis algorithm. For more information about spectral characteristics and spectral analysis algorithms, see Figure 2 Step 210 is described above.

[0124] The frequency spectrum characteristics of the first dynamic information refer to the frequency spectrum characteristics corresponding to the dynamic monitoring data when the operator climbs on the tower crane. The first reference frequency spectrum characteristics refer to the frequency spectrum characteristics of the sound data and vibration data corresponding to each of the multiple historical climbing information in the historical data. In some embodiments, the first reference frequency spectrum characteristics may include multiple groups of data, and each group of data corresponds to the first reference frequency spectrum characteristics of each historical climbing information. In some embodiments, the tower crane standard section monitoring system 100 can store the historical first dynamic information obtained by monitoring corresponding to multiple historical climbing information and multiple historical climbing information to a storage device. The historical first dynamic information refers to the dynamic monitoring data that has been monitored for each climb performed by the operator for multiple historical climbs. In some embodiments, the historical first dynamic information may include historical sound data and historical vibration data. The historical sound data refers to the sound data generated by each climb performed by the operator for multiple historical climbs. The historical vibration data refers to the vibration data generated by each climb performed by the operator for multiple historical climbs.

[0125] In some embodiments, the tower crane standard section monitoring system 100 can determine the first reference spectrum feature corresponding to the first historical dynamic information through a spectrum analysis algorithm based on the first historical dynamic information. For more information about the spectrum analysis algorithm, see Figure 2 Step 210 is described above.

[0126] In some embodiments, the tower crane standard section monitoring system 100 may determine the first reference frequency spectrum feature corresponding to the historical climbing information that is the same as the climbing information as the first reference frequency spectrum feature corresponding to the climbing information.

[0127] It can be understood that the higher the similarity between the first dynamic data obtained by actual monitoring of the standard section and the first fitted dynamic data fitted by the system, and the higher the similarity between the first dynamic information obtained by actual monitoring and the first benchmark spectrum characteristics corresponding to the climbing information, the higher the first stability of the standard section.

[0128] S14, determining a first stability based on the first similarity and the second similarity.

[0129] In some embodiments, the first stability of the standard section is positively correlated with the first similarity and the second similarity corresponding to the standard section. The greater the first similarity and the second similarity of the standard section, the higher the first stability of the standard section. In some embodiments, the tower crane standard section monitoring system 100 can determine the first stability of the standard section by formula calculation based on the first similarity and the second similarity corresponding to the standard section. Exemplarily, the first stability can be calculated by formula (5):

[0130] D1 = t1 S1 + t2 S2 (5)

[0131] Wherein, D1 is the first stability of the standard section; S1 is the first similarity of the standard section; S2 is the second similarity of the standard section; t1 and t2 are the first similarity coefficient and the second similarity coefficient, respectively, and the first similarity coefficient t1 and the second similarity coefficient t2 can be positive values, respectively. In some embodiments, the first similarity coefficient t1 and the second similarity coefficient t2 can be preset to other values ​​according to requirements. In some embodiments, the similarity coefficient can be determined based on experience.

[0132] In some embodiments, the tower crane standard section monitoring system 100 can determine the first stability of different standard sections in the above manner.

[0133] In some embodiments, the first stability can be determined by a first stability model. For more information, see Figure 3 and its related description.

[0134] In some embodiments, the standard section stability of the standard section may be positively correlated to the first stability and static stability of the standard section. The greater the first stability and static stability of the standard section, the higher the standard section stability of the standard section. Exemplarily, the tower crane standard section monitoring system 100 may determine the standard section stability of each standard section by formula (6):

[0135] S5= A D1+ B R (6)

[0136] Among them, S5 is the standard section stability of a standard section, D1 is the first stability of the standard section, R is the static stability of the standard section, A and B are the preset reliability corresponding to the first stability and the preset reliability corresponding to the static stability respectively.

[0137] In some embodiments, the preset confidence A may be negatively correlated with the wind information corresponding to the first stability of the standard section. The preset confidence B may be negatively correlated with the wind information corresponding to the static stability. In some embodiments, the greater the wind force level when determining the first stability or static stability, the greater the gap between the monitored first stability or static stability and the actual first stability or static stability, and the smaller the corresponding preset confidence. For example, when the wind force level when determining the first stability is greater than the wind force level when determining the static stability, the preset confidence A is less than the preset confidence B. In some embodiments, the sum of A and B may be 1. In some embodiments, A and B may also be preset to other values ​​according to requirements.

[0138] Wind force information refers to information related to wind force when determining the first stability or static stability. In some embodiments, the wind force information may include information such as wind direction and wind force level. Wind force level is a method of characterizing the strength of wind. For example, wind force levels may include level 0, level 3, level 5, etc. In some embodiments, the tower crane standard section monitoring system 100 may obtain wind force information through the network. For example, local wind force information reported on a weather forecast website may be obtained through the network.

[0139] In the embodiments of the present specification, relevant data of the operator climbing on the tower crane is obtained; based on the relevant data, the dynamic first stability corresponding to multiple standard sections is determined; based on the dynamic first stability and the static stability, the accuracy of the determined standard section stability of the operator climbing on the tower crane can be further improved.

[0140] In some embodiments of this specification, by comparing the difference between the dynamic pressure data actually monitored by the operator when climbing the standard section and the dynamic pressure data fitted by historical climbing, the first stability of the standard section in use can be determined; through the sound and vibration generated by the operator when climbing the standard section, the parts of the standard section that may be damaged or loose can be determined. Combining wind information, the first stability and static stability, the stability of the standard section of the standard section can be comprehensively and accurately determined to avoid safety accidents caused by lack of consideration of certain factors.

[0141] For more information on how to determine the stability of a standard node, see Figure 4 and its related description.

[0142] Step 260, based on the stability of the standard section, determine the reinforcement standard section.

[0143] Reinforced standard sections refer to standard sections that need special attention and reinforcement.

[0144] In some embodiments, the tower crane standard section monitoring system 100 can determine the reinforced standard section in a variety of ways based on the standard section stability of each standard section in a plurality of standard sections. For example, the tower crane standard section monitoring system 100 can determine the standard section whose standard section stability is lower than the stability threshold as the reinforced standard section. The stability threshold may be related to a variety of factors. In some embodiments, the stability threshold may be related to the standard section height. Among them, the standard section height refers to the height of the position of the standard section in the tower crane. It can be understood that the higher the standard section height, the more susceptible the standard section is to the influence of height and wind force, the lower the standard section stability of the standard section, and the lower the preset stability threshold; the lower the standard section height, the higher the stability that the standard section needs to maintain, and the higher the preset stability threshold, so as to maintain the overall stability of the tower crane. In some embodiments, the stability threshold may include one or more data, and one data may correspond to one standard section. The stability threshold of each standard section may be manually preset according to actual conditions.

[0145] In some embodiments, after determining the reinforcement standard section, the tower crane standard section monitoring system 100 can notify the tower crane maintenance personnel to reinforce the reinforcement standard section. The tower crane maintenance personnel can inspect the reinforcement standard section that needs to be reinforced, determine the degree of damage to the reinforcement standard section based on the inspection results, and adopt different reinforcement measures and subsequent maintenance measures for standard sections with different degrees of damage.

[0146] In some embodiments, the tower crane standard section monitoring system 100 may also determine to reinforce the standard section based on the stability of the standard section and future operation data.

[0147] Future operation data refers to the relevant data of the tower crane operation within a preset time period in the future from the current time point. In some embodiments, the future operation data may include at least one of the data such as the tower crane lifting weight, lifting torque, lifting height, rotation angle, tilt angle, etc. in the preset time period in the future. The preset time period in the future may be the period with the longest operation time among multiple operation requirements in the future. Among them, the operation requirement refers to the need to perform different operations on the tower crane within the preset time period in the future. In some embodiments, the tower crane standard section monitoring system 100 can determine the future operation data based on different operation requirements. For example, the tower crane standard section monitoring system 100 can determine the future operation data based on the weight of the material that needs to be lifted within the preset time period in the future and the location where the lifted material needs to be transported.

[0148] In some embodiments, the tower crane standard section monitoring system 100 can determine the stability threshold by querying a preset table based on future operation data, and determine the standard section whose stability is lower than the stability threshold as the reinforced standard section that needs to be reinforced. In some embodiments, the preset table may include a correspondence between future operation data and the stability threshold. The preset table may be constructed based on experience.

[0149] In the embodiments of this specification, the standard sections to be reinforced are determined in combination with the future operation data of the tower crane, and the possible wear and tear on the standard sections caused by the operation of the tower crane in a preset time period in the future is considered in advance. The standard sections that may pose safety risks in the future time period are predicted in advance and reinforced, thereby avoiding the occurrence of safety accidents.

[0150] In some embodiments, the tower crane standard section monitoring system 100 can determine the future pressure data of each standard section among multiple standard sections through a pressure prediction model based on future operation data and basic information of the standard section; and determine the reinforced standard section based on the future pressure data and the stability of the standard section.

[0151] The pressure prediction model refers to a model used to predict future pressure data. In some embodiments, the pressure prediction model may be a machine learning model. For example, the pressure prediction model may be one or any combination of a convolutional neural network (CNN) model, a deep neural network (DNN) model, a recurrent neural network (RNN) model, and the like.

[0152] In some embodiments, the input of the pressure prediction model may include future operation data and standard section basic information of a plurality of standard sections, and the output of the pressure prediction model may include future pressure data of the plurality of standard sections.

[0153] Future pressure data refers to the pressure data corresponding to multiple standard sections when the tower crane is operating within a preset time period in the future.

[0154] For more information about the basics of the standard section, see Figure 2 Step 240 is described above.

[0155] In some embodiments, the pressure prediction model input may also include future wind information. In some embodiments, the future wind information refers to the wind information when the tower crane is running in a future preset time period. In some embodiments, the future wind information may include future wind direction and future wind level. Wind level is a method of characterizing the strength of wind. It is understood that wind direction and wind level may also affect the pressure data of the standard section.

[0156] In some embodiments, the tower crane standard section monitoring system 100 can obtain future wind force information through the network. For example, local wind force information reported by a weather forecast website within a preset time period in the future can be obtained through the network.

[0157] In the present illustrative embodiment, by evaluating the impact of future wind information on the pressure of the standard node, the future pressure data of the standard node within a future preset time period can be predicted more accurately.

[0158] In some embodiments, the tower crane standard section monitoring system 100 can train an initial pressure prediction model based on a large number of first training samples with a first label. In some embodiments, the tower crane standard section monitoring system 100 can input the first training sample into the initial pressure prediction model, and update the parameters of the initial pressure prediction model through training iterations until the trained model meets the preset training conditions, thereby obtaining a trained pressure prediction model. The preset training conditions may be that the loss function is less than a threshold, converges, or the training cycle reaches a threshold. In some embodiments, the method of iteratively updating the parameters of the model may include conventional model training methods such as stochastic gradient descent.

[0159] The first training sample may include sample standard section basic information and sample historical operation data obtained from historical data. The first label may be sample actual pressure monitoring data corresponding to the sample standard section basic information and sample historical operation data obtained from historical data. In some embodiments, the tower crane standard section monitoring system 100 may obtain sample actual pressure monitoring data through a pressure monitoring device.

[0160] In some embodiments, when the input of the pressure prediction model includes future wind information, the first training sample may also include sample historical wind information.

[0161] In some embodiments, the tower crane standard section monitoring system 100 can determine the reinforcement standard section in a variety of ways based on the future pressure data of multiple standard sections and the stability of the standard section. For example, the tower crane standard section monitoring system 100 can determine the stability threshold of each standard section by querying a preset table based on the future pressure data of each standard section in the multiple standard sections, and determine the standard section whose stability is lower than the stability threshold as the reinforcement standard section that needs to be reinforced. In some embodiments, the preset table may include the corresponding relationship between the future pressure data and the stability threshold of each standard section. The preset table can be constructed based on experience.

[0162] In the embodiments of this specification, the future pressure data of the standard section is determined by a model prediction method, which comprehensively considers the pressure at various positions of the standard section caused by factors such as the tower crane's lifting weight and lifting height in the future time period, making the prediction result more accurate and the prediction method more intelligent and simple.

[0163] In the embodiments of the present specification, the overall stability of the standard section is determined by combining the position monitoring data and pressure monitoring data of the standard section, and the factors that may affect the stability of the standard section are more comprehensively considered, so that the standard section that needs to be reinforced is accurately determined, making the operator's work safer; by monitoring the standard section stability of each standard section in the tower crane in advance, determining the standard sections that need to be reinforced and reinforcing and repairing them, safety accidents caused by the tipping or collapse of the tower crane can be avoided, which is conducive to the safe operation of the tower crane.

[0164] Figure 3 is an exemplary schematic diagram of a first stable model according to some embodiments of the present specification.

[0165] In some embodiments, the tower crane standard section monitoring system 100 may determine the first stability 360 through the first stability model 350 based on the static pressure data 310 , the first dynamic data 320 , the first dynamic information 330 , and the climbing information 340 .

[0166] For more information about static pressure data, first dynamic data, first dynamic information, climbing information and first stability, see Figure 2 Related description in .

[0167] The first stability model refers to a model used to determine the first stability. In some embodiments, the first stability model may be a machine learning model. For example, it may be at least one or any combination of a CNN model, a DNN model, an RNN model, etc.

[0168] In some embodiments, the input of the first stability model 350 may include static pressure data 310 , first dynamic data 320 , first dynamic information 330 , and climbing information 340 , and the output may be a first stability 360 .

[0169] The first stable model can be obtained based on the training of the second training sample with the second label. The training process of the first stable model is similar to the training method of the pressure prediction model. For more information about the training of the first stable model, please refer to the relevant description of the training of the pressure prediction model.

[0170] In some embodiments, each group of training samples of the second training samples of the first stable model may include sample static pressure data, sample first dynamic data, sample first dynamic information and sample climbing information of the sample standard section obtained from historical data. The second label may be the sample climbing stability corresponding to the sample standard section in the historical data. The sample climbing stability refers to the stability of the sample standard section when the operator climbs the sample standard section. In some embodiments, multiple cameras may be installed at different positions on the sample standard section, and the video information of the operator climbing may be obtained through the camera. Among them, the camera may set the installation position according to the camera requirements and human experience. In some embodiments, the tower crane standard section monitoring system 100 may determine the motion amplitude of each position on the sample standard section based on the video information corresponding to each group of training samples when the operator climbs the sample standard section, and determine the sample climbing stability based on the motion amplitude. In some embodiments, the sample climbing stability of the sample standard section is negatively correlated to the motion amplitude at each position of the sample standard section. The larger the motion amplitude at each position of the sample standard section, the smaller the sample climbing stability of the sample standard section. The second label may be manually marked.

[0171] In some embodiments of the present specification, the subjectivity and tediousness of manually determining the first stability are avoided by fusing and analyzing multiple data sources (such as static pressure data, first dynamic data, first dynamic information, and climbing information, etc.) through the first stability model, thereby improving the efficiency and accuracy of determining the first stability. At the same time, the machine learning model has the ability of self-learning and optimization, and can continuously improve the performance of the first stability model as the amount of data increases and the algorithm is improved.

[0172] Figure 4 is an exemplary flow chart for determining the stability of a standard node according to some embodiments of this specification. Figure 4 As shown, the process 400 includes the following steps: In some embodiments, the process 400 can be executed by the tower crane standard section monitoring system 100 .

[0173] Step 410, obtaining the second dynamic data, the second dynamic information and the tower crane operation data when the tower crane is in operation.

[0174] The second dynamic data refers to the data related to the dynamic pressure of one or more standard sections monitored and obtained when the tower crane is in operation. At this time, the one or more standard sections are one or more standard sections whose dynamic monitoring data meets the dynamic preset conditions. The second dynamic data may include one or more groups of data, and one group of data may correspond to one standard section. Similarly, the following second dynamic information is also the data related to the one or more standard sections whose dynamic monitoring data meets the dynamic preset conditions.

[0175] In some embodiments, the second dynamic data may include pressure data at various positions of the standard section when the tower crane is in operation. For example, the second dynamic data of the standard section g may include pressure data at the contact surface between the standard section g and the upper standard section h, the contact surface between the standard section g and the lower standard section i, the four corners of the frame of the standard section g, the upper and lower interfaces, the bolt connection, etc. For more information about the upper standard section, the lower standard section, the upper and lower interfaces, and the bolt connection, please refer to Figure 2 Related description of the above step 210.

[0176] In some embodiments, the tower crane standard section monitoring system 100 can obtain the second dynamic data corresponding to one or more standard sections through the pressure monitoring devices corresponding to one or more standard sections. For more information about the pressure monitoring device, see Figure 2 Related description of the above step 210.

[0177] The second dynamic information refers to the sound data and vibration data of the standard section obtained by the sensor when the tower crane is running. The second dynamic information may include one or more groups of data, and one group of data may correspond to one standard section. In some embodiments, the tower crane standard section monitoring system 100 can obtain the second dynamic information corresponding to one or more standard sections through the dynamic monitoring devices corresponding to one or more standard sections. For more information about the dynamic monitoring device, please refer to Figure 2 Step 210 is described above.

[0178] The tower crane operation data refers to data related to the tower crane operation. For example, the tower crane operation data may include at least one of the tower crane lifting weight, lifting moment, lifting height, rotation angle, and tilt angle.

[0179] In some embodiments, the tower crane standard section monitoring system 100 can obtain the tower crane operation data in real time through the tower crane's operating system, wherein the tower crane's operating system can be responsible for controlling the operation of the tower crane.

[0180] Step 420, determining the second stability corresponding to the plurality of standard sections based on the static pressure data, the second dynamic data, the second dynamic information and the tower crane operation data.

[0181] The second stability refers to data reflecting the dynamic stability of the standard section when the tower crane is in operation. The second stability may include one or more groups of data, and one group of data may correspond to one standard section.

[0182] In some embodiments, the tower crane standard section monitoring system 100 can determine the second stability corresponding to each standard section in a variety of ways based on the static pressure monitoring data, the second dynamic data, the second dynamic information and the tower crane operation data of the standard section.

[0183] For example, taking a standard section as an example, the tower crane standard section monitoring system 100 can determine the second stability of the standard section through the following steps.

[0184] S21, determining second fitting dynamic data based on the static pressure data, the tower crane operation data and the second fitting relationship.

[0185] In some embodiments, the tower crane standard section monitoring system 100 may determine the second fitting relationship based on historical data.

[0186] The second fitting relationship refers to a fitting relationship that can characterize the static pressure data, the second dynamic data, and the tower crane operation data. In some embodiments, the second fitting relationship may include multiple, and each second fitting relationship is a fitting relationship corresponding to each standard section in the multiple standard sections. In some embodiments, the second fitting relationship may be a fitting relationship common to multiple standard sections. The fitting relationship common to multiple standard sections can be determined based on the historical data of multiple standard sections. The following takes a standard section as an example:

[0187] In some embodiments, the tower crane standard section monitoring system 100 can determine the second fitting relationship based on the historical static pressure data, the historical second dynamic data and the historical tower crane operation data in the historical data. The historical static pressure data refers to the static pressure data that has been monitored. The historical second dynamic data refers to the dynamic pressure data that has been monitored for multiple historical operations of the tower crane. The historical tower crane operation data refers to the tower crane operation data that has been monitored for multiple historical operations of the tower crane. Among them, the historical operation refers to the different operations performed by the tower crane at multiple historical time points.

[0188] In some embodiments, after the tower crane is installed, multiple historical operations can be performed. The tower crane standard section monitoring system 100 can monitor and obtain the historical second dynamic data and historical tower crane operation data of multiple historical operations, as well as monitor and obtain the historical static pressure data before each operation, and store it in a storage device.

[0189] In some embodiments, the tower crane standard section monitoring system 100 may determine the second fitting relationship through a fitting algorithm based on historical tower crane operation data, historical static pressure data, and historical second dynamic data of multiple historical operations.

[0190] The second fitting dynamic data refers to the dynamic pressure data fitted by the system when the tower crane is running. In some embodiments, the tower crane standard section monitoring system 100 can determine the second fitting dynamic data of the standard section based on the static pressure data of the standard section, the tower crane operation data, and the second fitting relationship. The tower crane standard section monitoring system 100 can determine the second fitting dynamic data of different standard sections based on the static pressure data, the tower crane operation data, and the second fitting relationship corresponding to different standard sections.

[0191] S22: Determine a third similarity based on the second dynamic data and the second fitting dynamic data.

[0192] The third similarity refers to the similarity between the second dynamic data and the second fitting dynamic data. In some embodiments, the tower crane standard section monitoring system 100 can determine the third similarity in a variety of ways. In some embodiments, the tower crane standard section monitoring system 100 can respectively construct a dynamic pressure vector of the second dynamic data and a dynamic pressure vector of the second fitting dynamic data, calculate the vector distance between the two dynamic pressure vectors, and determine the third similarity based on the vector distance.

[0193] S23: Determine a fourth similarity based on the second dynamic information and the second reference frequency spectrum feature.

[0194] In some embodiments, the tower crane standard section monitoring system 100 calculates the similarity between the frequency spectrum characteristics of the second dynamic information and the second reference frequency spectrum characteristics of the sound data and vibration data corresponding to the tower crane operation data based on the second dynamic information, and uses it as the fourth similarity. The frequency spectrum characteristics can be determined by the frequency spectrum analysis algorithm. The method for determining the fourth similarity is similar to the method for determining the second similarity. For details, see Figure 2 Step 250 is described above.

[0195] The frequency spectrum characteristics of the second dynamic information refer to the frequency spectrum characteristics corresponding to the dynamic monitoring data actually monitored when the tower crane is running. The second reference frequency spectrum characteristics refer to the frequency spectrum characteristics of the sound data and vibration data corresponding to each of the multiple historical tower crane operation data in the historical data. In some embodiments, the second reference frequency spectrum characteristics may include multiple groups of data, each group of data corresponding to a historical tower crane operation data. In some embodiments, the tower crane standard section monitoring system 100 can store the historical second dynamic information obtained by monitoring corresponding to multiple historical tower crane operation data and multiple historical tower crane operation data to a storage device. The historical second dynamic information refers to the dynamic monitoring data that has been monitored for each operation of the tower crane in multiple historical operations. In some embodiments, the historical second dynamic information may include historical sound data and historical vibration data. The historical sound data refers to the sound data generated by each operation of the tower crane in multiple historical operations. The historical vibration data refers to the vibration data generated by each operation of the tower crane in multiple historical operations.

[0196] In some embodiments, the tower crane standard section monitoring system 100 can determine the second reference spectrum characteristics corresponding to the historical second dynamic information through a spectrum analysis algorithm based on the historical second dynamic information. For more information about the spectrum analysis algorithm, see Figure 2 Step 210 is described above.

[0197] In some embodiments, the tower crane standard section monitoring system 100 may determine the second reference frequency spectrum feature corresponding to the historical tower crane operation data that is the same as the tower crane operation data as the second reference frequency spectrum feature corresponding to the tower crane operation data.

[0198] It can be understood that the higher the similarity between the first dynamic data of the standard section and the second fitting dynamic data and the higher the similarity between the second dynamic information obtained by actual monitoring and the second reference spectrum characteristics corresponding to the tower crane operation data, the higher the second stability of the standard section.

[0199] S24, determining a second stability based on the third similarity and the fourth similarity.

[0200] In some embodiments, the second stability of the standard section is positively correlated with the third similarity and the fourth similarity corresponding to the standard section. The greater the third similarity and the fourth similarity of the standard section, the higher the second stability of the standard section. Exemplarily, the tower crane standard section monitoring system 100 can calculate and determine the first stability of the standard section based on the third similarity and the fourth similarity corresponding to the standard section by formula (7):

[0201] D2 = t3 S3 + t4 S4 (7)

[0202] Wherein, D2 is the second stability of the standard section; S3 is the third similarity of the standard section; S4 is the fourth similarity of the standard section; t3 and t4 are the third similarity coefficient and the fourth similarity coefficient, respectively. In some embodiments, the third similarity coefficient t3 and the fourth similarity coefficient t4 are positive values. In some embodiments, the third similarity coefficient t3 and the fourth similarity coefficient t4 can be preset to other values ​​according to requirements. In some embodiments, the third and fourth similarity coefficients can be determined based on experience.

[0203] In some embodiments, the tower crane standard section monitoring system 100 can determine the first stability of different standard sections in the above manner.

[0204] In some embodiments, the tower crane standard section monitoring system 100 may determine the second stability through a second stability model based on the static pressure data, the second dynamic data, the second dynamic information and the tower crane operation data.

[0205] The second stable model refers to a model used to determine the second stability. In some embodiments, the second stable model can be a machine learning model. For example, the second stable model can be at least one or any combination of a CNN model, a DNN model, an RNN model, etc.

[0206] In some embodiments, the input of the second stability model may include static pressure data, second dynamic data, second dynamic information and tower crane operation data, and the output may be a second stability.

[0207] In some embodiments, the second stable model can be obtained based on the training of a large number of third training samples with third labels. The training process of the second stable model is similar to the training method of the pressure prediction model. For more information about the training of the second stable model, please refer to the relevant description of the training of the pressure prediction model.

[0208] In some embodiments, each group of training samples of the third training samples of the second stability model may include sample static pressure data, sample second dynamic data, sample second dynamic information, and sample crane operation data of the sample standard section obtained from historical data. The third label may be the sample operation stability corresponding to the sample standard section in the historical data. The sample operation stability refers to the stability of the standard section when the crane is operating. The method for determining the sample operation stability is similar to the method for determining the sample climbing stability described above, for details, see Figure 3 Description of the determination of the climbing stability of the sample.

[0209] In some embodiments of this specification, a machine learning model is introduced as the second stability model, which comprehensively considers the static pressure data, the second dynamic data, the second dynamic information and the tower crane operation data, so as to more comprehensively evaluate the stability of the tower crane under different conditions. The machine learning model has a strong nonlinear mapping ability and self-learning ability, and can capture the complex relationship between the data, so it can more accurately predict and determine the second stability corresponding to multiple standard sections of the tower crane.

[0210] Step 430, determining the standard node stability based on the second stability and the static stability.

[0211] In some embodiments, the standard section stability of the standard section may be positively correlated to the second stability and static stability of the standard section. The greater the second stability and static stability of the standard section, the higher the standard section stability of the standard section. Exemplarily, the tower crane standard section monitoring system 100 may determine the standard section stability of each standard section in the plurality of standard sections based on the second stability and static stability of each standard section by calculating formula (8):

[0212] S5= C D2+ B R (8)

[0213] Among them, S5 is the standard section stability of a standard section; D2 is the second stability of the standard section; R is the static stability of the standard section; C and B are the preset reliability corresponding to the second stability and the preset reliability corresponding to the static stability respectively. The determination method of the preset reliability C is similar to that of the preset reliability A. For more information, please refer to Figure 2 Related description.

[0214] In some embodiments of the present specification, by acquiring the second dynamic data, the second dynamic information and the tower crane operation data in real time during the operation of the tower crane, the accuracy of determining the stability of the standard section can be improved, and the stability of the standard section during the operation of the tower crane can be evaluated more comprehensively and accurately.

[0215] It should be noted that the above description of the process 200 and the process 400 is only for example and explanation, and does not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to the process 200 and the process 400 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0216] Some embodiments of the present specification provide a tower crane standard section monitoring device, the device comprising: at least one processor and at least one memory; at least one memory is used to store computer instructions; at least one processor is used to execute at least part of the computer instructions to implement the above-mentioned tower crane standard section monitoring method.

[0217] Some embodiments of the present specification provide a computer-readable storage medium, which stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the above-mentioned tower crane standard section monitoring method.

[0218] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements and corrections to this specification. Such modifications, improvements and corrections are suggested in this specification, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0219] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of this specification can be appropriately combined.

[0220] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this specification, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this specification. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0221] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0222] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. A tower crane standard section monitoring method, characterized in that: The method comprises: Acquire node monitoring data of a plurality of standard nodes, wherein the node monitoring data includes position monitoring data and pressure monitoring data, and the pressure monitoring data includes static pressure data; Based on the position monitoring data, determining the position stability corresponding to the plurality of standard nodes; Based on the static pressure data, determining the pressure stability corresponding to the plurality of standard sections; Determining static stability corresponding to the plurality of standard nodes based on the position stability and the pressure stability; Based on the static stability, determining the standard node stability of the plurality of standard nodes; Based on the stability of the standard section, the standard section to be reinforced is determined.

2. The method according to claim 1, characterized in that The node monitoring data also includes dynamic monitoring data; the pressure monitoring data also includes dynamic pressure data; the method also includes: In response to the dynamic monitoring data satisfying a dynamic preset condition, the dynamic pressure data is acquired.

3. The method according to claim 2, characterized in that The dynamic pressure data also includes first dynamic data; the method also includes: Acquire the first dynamic data, first dynamic information and climbing information of the operator when climbing on the tower crane; Determining a first degree of stability corresponding to the plurality of standard sections based on the static pressure data, the first dynamic data, the first dynamic information, and the climbing information; The standard node stability is determined based on the first stability and the static stability.

4. The method according to claim 2, characterized in that: The dynamic pressure data also includes second dynamic data; the method further includes: Acquire the second dynamic data, the second dynamic information and the tower crane operation data when the tower crane is in operation; Determining a second degree of stability corresponding to the plurality of standard sections based on the static pressure data, the second dynamic data, the second dynamic information and the tower crane operation data; The standard node stability is determined based on the second stability and the static stability.

5. The method according to claim 1, characterized in that Determining the standard section to be reinforced based on the stability of the standard section includes: Based on the stability of the standard section and future operation data, the standard section to be reinforced is determined.

6. A tower crane standard section monitoring system, characterized in that: The system comprises: An acquisition module is configured to acquire node monitoring data of a plurality of standard nodes, wherein the node monitoring data includes position monitoring data and pressure monitoring data, and the pressure monitoring data includes static pressure data; A first determination module is configured to determine the position stability corresponding to the plurality of standard nodes based on the position monitoring data; A second determination module is configured to determine the pressure stability corresponding to the plurality of standard nodes based on the static pressure data; A third determination module is configured to determine static stability corresponding to the plurality of standard nodes based on the position stability and the pressure stability; A fourth determination module is configured to determine the standard section stability of the plurality of standard sections based on the static stability; The fifth determination module is configured to determine the standard section to be reinforced based on the stability of the standard section.

7. The system according to claim 6, characterized in that The node monitoring data also includes dynamic monitoring data; the pressure monitoring data also includes dynamic pressure data; the acquisition module is further configured to: In response to the dynamic monitoring data satisfying a dynamic preset condition, the dynamic pressure data is acquired.

8. The system according to claim 6, characterized in that The fifth determining module is further configured to: Based on the stability of the standard section and future operation data, the standard section to be reinforced is determined.

9. A tower crane standard section monitoring device, characterized in that: The apparatus comprises at least one processor and at least one memory; The at least one memory is used to store computer instructions; The at least one processor is configured to execute at least part of the computer instructions to implement the method according to any one of claims 1 to 5.

10. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes the method according to any one of claims 1 to 5.

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