Method for assessing the lifetime of a tower crane, and controller and server

Abstract

The embodiment of the present application provides a kind of method for evaluating tower crane life and controller and server, the method comprises: obtaining the profile information of the component of the tower crane, wherein the profile information at least includes the residual life information of previous hoisting component;Obtain the real-time working condition information of the tower crane;According to the profile information, the real-time working condition information and tower crane loss life calculation model, determine the real-time residual life information of the component;And update the residual life information as the real-time residual life information.The embodiment of the present application can realize the real-time calculation update and life management of the whole life cycle of the tower crane component life that conforms to engineering practical application scene, high reliability, high accuracy, high timeliness, and can reduce the number of required tower crane data monitoring sensors.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of construction machinery, in particular to a method for evaluating the service life of a tower crane, a controller and a server. BACKGROUND

[0002] As a key equipment for modern construction, the tower crane is working under alternating high stress most of the time with the development of PC construction buildings. Research shows that more than 80% of the tower crane structural damage is fatigue failure. Therefore, the service life of the tower crane structure has become an important evaluation index for its safe and reliable operation. There are corresponding technologies at home and abroad to study the service life of the tower crane structure, but most of them are theoretical research, mainly used to evaluate the theoretical life value under standard experimental conditions. However, in the actual lifting process, due to the complex and changeable conditions such as over-torque, over-weight and environmental factors, the structural life of the specific tower crane has great individual differences. Therefore, the theoretical life value only has guiding significance for the structural life evaluation of the actual tower crane, and it is difficult to accurately evaluate the actual safety boundary. The development of the industry puts forward higher evaluation requirements for the safe use of the tower crane structure, so real-time and accurate evaluation of the remaining life of the tower crane structure has gradually become a focus in the industry. The mainstream of the existing actual tower crane life evaluation theory is to use finite element simulation and fatigue damage theory, to real-time check the life of the tower crane by taking the real-time collected environmental load as the boundary condition, and then to calculate the remaining life by using the stress and strain information collected on site according to the damage theory. Although this theoretical method can accurately calculate the remaining life of the tower crane, it has the following disadvantages: (1) The boundary condition accuracy of the simulation model is required to be high when using the finite element simulation technology to check the life, which will inevitably increase the burden and cost of collecting environmental load, and lead to difficulties in long-term acquisition of environmental and working condition information data on site and high implementation cost. In addition, the reliability and economy of some types of sensors in the existing technology lead to low reliability of on-site complex load information collection, high installation monitoring cost and high maintenance cost. (2) The accurate description of the environmental and working condition information will result in large amount of real-time collected data, long time consumption of data preprocessing, and occupation of terminal computing resources and memory resources, which will affect the performance of the tower crane terminal and reduce the economy of the tower crane terminal. At the same time, the large amount of data transmission requires high network environment and hardware. However, the construction environment is complex, and there is poor network signal and imperfect infrastructure in the construction environment, which greatly reduces the timeliness and feasibility of the life evaluation system. (3) The existing remaining life management system only focuses on the description of the remaining life of the tower crane, without associating the remaining life evaluation of the tower crane with the actual construction management, remanufacturing and scrapping of the user, and ignoring the management function of the system in the whole life cycle of the tower crane. Therefore, it is urgent to propose a technical solution to solve the above technical problems in the existing technology. SUMMARY

[0003] The purpose of the embodiments of the present application is to provide a method, controller and server for evaluating the service life of a tower crane, which solves the aforementioned technical problems in the prior art.

[0004] To achieve the above-mentioned purpose, the first aspect of the present application provides a method, controller and server for evaluating the service life of a tower crane, the method for evaluating the service life of a tower crane comprising: obtaining profile information of a component of the tower crane, wherein the profile information at least comprises residual service life information of the last hoisting component; obtaining real-time working condition information of the tower crane; determining real-time residual service life information of the component according to the profile information, the real-time working condition information and a tower crane loss service life calculation model; and updating the residual service life information to the real-time residual service life information.

[0005] In the embodiments of the present application, the profile information further comprises at least one of the following options: component number; design equivalent service life information under design working conditions; factory information; hoisting performance information; and usage state information.

[0006] In the embodiments of the present application, the component comprises at least one of the following options: a hoisting arm; a transition section; a base section; a tower body standard section; an upper support; a lower support; and a tower head.

[0007] In the embodiments of the present application, the design equivalent service life information comprises a load spectrum coefficient, a design equivalent service life and a design equivalent number of times, the factory information comprises a factory date and a binding tower crane terminal number, the hoisting performance information comprises a component number, a binding tower crane terminal number, a correspondence between a hoisting amplitude value and a rated load torque, the usage state information comprises a remanufacturing influence coefficient and a scrap influence coefficient, and the residual service life information comprises a residual number of times, a residual service life, a natural residual service life and a final residual service life.

[0008] In the embodiments of the present application, the real-time working condition information comprises a real-time hoisting torque and a real-time hoisting amplitude value.

[0009] In the embodiments of the present application, the real-time residual service life information of the component is determined according to the profile information, the real-time working condition information and the tower crane loss service life calculation model, comprising: determining a rated load torque according to the component number, the binding tower crane terminal number, the real-time hoisting amplitude value and the hoisting performance information; determining a real-time maximum load torque percentage according to the real-time hoisting torque and the rated load torque; and determining the real-time residual service life information according to the residual number of times of the last hoisting component, the maximum load percentage torque, the load spectrum coefficient, the design equivalent service life, the design equivalent number of times, a real-time date, a factory date and the tower crane loss service life calculation model.

[0010] In the embodiment of the present application, the relationship between the real-time maximum load torque percentage, the real-time hoisting torque and the rated load torque satisfies: K n = M wn / Me e × 100%; wherein, n is the real-time hoisting frequency of the tower crane, K n is the real-time maximum load torque percentage, M wn is the real-time hoisting torque, and Me is the rated load torque.

[0011] In the embodiment of the present application, the tower crane loss life calculation model is defined as: YS2 n = Y1- (T2 n - T1); and YS n = μγmin(YS1 n , YS2 n ); wherein, NS n is the real-time residual life frequency, NS n-1 is the residual life frequency of the last hoisting component, NS0 = N1, N1 is the design equivalent frequency, Kp1 is the load spectrum coefficient, YS1 n is the real-time residual life, Y1 is the design equivalent life, YS2 n is the real-time natural residual life, T2 n is the real-time date, T1 is the factory date, YS n is the real-time final residual life, μ is the remanufacturing influence coefficient, and γ is the scrap influence coefficient.

[0012] In the embodiment of the present application, the method for evaluating the life of the tower crane further comprises: performing tower crane construction assembly scheme management according to the archive information.

[0013] In the embodiment of the present application, the tower crane construction assembly scheme management according to the archive information comprises: obtaining the construction intensity, the construction site and the construction period; determining the target construction component according to the construction intensity, the construction site and the archive information; determining the tower crane assembly scheme according to the construction period and the archive information of the target construction component, so as to select the target assembly scheme from the tower crane assembly scheme; and outputting the archive information of the target construction component in the target assembly scheme.

[0014] In the embodiment of the present application, the method for evaluating the life of the tower crane further comprises: performing tower crane life display according to the archive information.

[0015] In the embodiment of the present application, the method for evaluating the life of the tower crane further comprises: performing tower crane remanufacturing management according to the archive information.

[0016] In the embodiment of the present application, the tower crane remanufacturing management according to the archive information comprises: obtaining a component number and a remanufacturing scheme of a target remanufactured component; obtaining archive information of the target remanufactured component according to the component number of the target remanufactured component; determining a target remanufacturing influence coefficient according to the archive information of the target remanufactured component and the remanufacturing scheme; updating the remanufacturing influence coefficient in the archive information to the target remanufacturing influence coefficient after completing remanufacturing of the target remanufactured component; and updating the residual life information in the archive information according to the target remanufacturing influence coefficient.

[0017] In the embodiment of the present application, the method for evaluating the service life of the tower crane further comprises: performing tower crane scrapping management according to the archive information.

[0018] In the embodiment of the present application, the tower crane scrapping management according to the archive information comprises: determining a target scrapped component with residual life information meeting preset scrapping requirements according to the archive information; selecting a target scrapped whole machine from whole machines composed of at least part of the target scrapped components; and updating a scrapping influence coefficient and the residual life information of the target scrapped components in the target scrapped whole machine to 0 after completing scrapping processing of the target scrapped whole machine.

[0019] The second aspect of the present application provides a controller configured to execute the method for evaluating the service life of the tower crane of the foregoing embodiments.

[0020] The third aspect of the present application provides a server comprising the controller of the foregoing embodiments.

[0021] The embodiments of the present application can realize real-time calculation and update and life management of the whole life cycle of the tower crane component life which meets the engineering actual application scene, has high reliability, high accuracy and high timeliness, and can reduce the number of required tower crane data monitoring sensors.

[0022] Other features and advantages of the embodiments of the present application will be described in detail in the following specific implementation part. BRIEF DESCRIPTION OF DRAWINGS

[0023] The accompanying drawings are included to provide a further understanding of the embodiments of the present application, and constitute a part of the specification, and are used together with the following specific implementation to explain the embodiments of the present application, but do not constitute a limitation on the embodiments of the present application. In the drawings:

[0024] Figure 1 is a flowchart of the method 100 for evaluating the service life of the tower crane of the embodiments of the present application;

[0025] Figure 2A is a tower crane remanufacturing management flowchart;

[0026] Figure 2B This is a schematic diagram of the tower crane scrapping management process;

[0027] Figure 2C This is a schematic diagram of the management process for the construction and assembly of tower cranes;

[0028] Figure 2D This is a schematic diagram of the terminal lifespan display interface;

[0029] Figure 2E This is a schematic diagram of the remanufacturing alternative library interface;

[0030] Figure 2F It is a schematic diagram of the interface for developing a remanufacturing solution; and

[0031] Figure 2G This is a schematic diagram of the remanufacturing progress query interface. Detailed Implementation

[0032] The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit the scope of the present invention.

[0033] It should be noted that if the embodiments of this application involve directional indicators (such as up, down, left, right, front, back, etc.), the directional indicators are only used to explain the relative positional relationship and movement of each component in a certain specific posture (as shown in the figure). If the specific posture changes, the directional indicators will also change accordingly.

[0034] Furthermore, if the embodiments of this application involve descriptions such as "first" or "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, features defined with "first" or "second" may explicitly or implicitly include at least one of those features. Additionally, the technical solutions of various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed in this application.

[0035] like Figure 1 As shown, in this embodiment of the invention, a method 100 for evaluating the lifespan of a tower crane is provided, comprising the following steps:

[0036] Step S110: Obtain the file information of the tower crane components, wherein the file information includes at least the remaining life information of the previously lifted components.

[0037] Step S130: Obtain real-time working condition information of the tower crane. The "real-time" of the embodiment of the present application is, for example, the current lifting.

[0038] Step S150: Determine the real-time residual life information of the component according to the archive information, the real-time working condition information, and the tower crane loss life calculation model. The whole machine life of the tower crane may be determined by comparing the residual life information of all components or all key structural components of the tower crane, and taking the shortest residual life as the whole machine life. The key structural components of the tower crane may be determined by experimental and simulation research on the whole machine structure fatigue life of the tower crane, and statistical analysis on the existing Internet of Things big data of the tower crane.

[0039] Step S170: Update the residual life information to the real-time residual life information. Each lifting will become the "previous lifting" of the next lifting, and therefore, after calculating the real-time residual life information, i.e., the residual life information of the component of the current lifting, the real-time residual life information obtained is saved to replace and update the "residual life information of the component of the previous lifting" used in the calculation of the "real-time life information", for the use of the next calculation and / or other purposes.

[0040] Further, the archive information may further include at least one of the following options: component number, design equivalent life information under design working condition, factory information, lifting performance information, and use state information. The design working condition may be, for example, a standard working condition.

[0041] Specifically, the component may include at least one of the following options: a lifting arm; a transition joint; a foundation joint; a tower body standard joint; an upper support; a lower support; and a tower head. The lifting arm, the transition joint, the foundation joint, the tower body standard joint, the upper support, the lower support, and the tower head may be determined as the key structural components of the tower crane by experimental and simulation research on the whole machine structure fatigue life of the tower crane, and statistical analysis on the existing Internet of Things big data of the tower crane.

[0042] Specifically, the design equivalent life information may include, for example, a load spectrum coefficient, a design equivalent life, and a design equivalent number of times. The design equivalent life information may be obtained by separately evaluating and accounting for the life of the weld and the base material of the tower crane through simulation and experiment, and by adopting various fatigue life calculation methods such as structural stress method and local stress method, according to the characteristics of weld fatigue and base material fatigue.

[0043] The factory information may include, for example, a factory date and a binding tower crane terminal number.

[0044] The lifting performance information may include, for example, a component number, a binding tower crane terminal number, and a corresponding relationship between a lifting amplitude value and a rated load torque.

[0045] The state information includes, for example, a remanufacturing influence coefficient and a scrap influence coefficient.

[0046] The residual life information includes, for example, a residual life number, a residual life time, a natural residual life, and a final residual life. Of course, the embodiments of the present application are not limited thereto, and the residual life information can include only part of the residual life number, the residual life time, the natural residual life, and the final residual life, for example, only the final residual life.

[0047] Specifically, the real-time working condition information includes, for example, a real-time hoisting torque and a real-time hoisting amplitude value. More specifically, the real-time hoisting torque is, for example, the maximum hoisting torque of the current hoisting, and correspondingly, the real-time hoisting amplitude value is, for example, the hoisting amplitude value corresponding to the maximum hoisting torque, that is, the hoisting amplitude value when the maximum hoisting torque of the current hoisting is generated.

[0048] Specifically, the real-time residual life information of the component is determined according to the archive information, the real-time working condition information, and the tower crane loss life calculation model, that is, step S150 includes, for example, sub-steps:

[0049] (a1) determining a rated load torque according to the component number, the bound tower crane terminal number, the real-time hoisting amplitude value, and the hoisting performance information.

[0050] (a2) determining a real-time maximum load torque percentage according to the real-time hoisting torque and the rated load torque.

[0051] and

[0052] (a3) determining the real-time residual life information according to the residual life number of the previous hoisting component, the maximum load percentage torque, the load spectrum coefficient, the design equivalent life, the design equivalent number, the real-time date, the factory date, and the tower crane loss life calculation model.

[0053] Specifically, the relationship between the real-time maximum load torque percentage and the real-time hoisting torque and the rated load torque satisfies, for example, K n = M wn / M e × 100%; wherein n is the real-time hoisting number of the tower crane, that is, the current is the nth hoisting, and correspondingly, the previous hoisting is the (n-1)th hoisting, K n is the real-time maximum load torque percentage, M wn is the real-time hoisting torque, and M e is the rated load torque.

[0054] Specifically, the tower crane loss life calculation model proposed by the embodiments of the present application is defined, for example, as: YS2 n = Y1-(T2 nT1); and YS n = μγmin(YS1 n , YS2 n ); wherein NS n is the real-time residual life number, NS n-1 is the previous residual life number of the hoisting component, NS0= N1, N1 is the design equivalent number, Kp1 is a load spectrum coefficient, YS1 n is the real-time residual life, Y1 is the design equivalent life, YS2 n is the real-time natural residual life, T2 n is the real-time date, for example, the date at the end of the current hoisting, T1 is the factory date, YS n is the real-time final residual life, μ is a remanufacturing influence coefficient, and γ is a scrap influence coefficient.

[0055] The tower crane loss life calculation model may be, for example, a tower crane loss life calculation model established according to the principle of fatigue damage, in combination with a theoretical S-N curve, deduced from the relationship between actual online working condition data of the tower crane and theoretical stress.

[0056] The tower crane loss life calculation model proposed in the embodiments of the present application is more in line with the actual engineering application scenarios and has higher reliability. The tower crane loss life calculation model takes the real-time maximum load moment percentage as the model input, which can reduce the number of tower crane data monitoring sensors. The algorithm is simple and reliable, and can realize accurate dynamic estimation of the residual life of the tower crane component. In addition, it is worth mentioning that in other embodiments, the tower crane loss life calculation model can also obtain corresponding model parameters through machine learning methods in big data. When the amount of tower crane data reaches a certain degree and the data completeness is guaranteed, the neural network can be trained using the actual working condition data of the tower crane through the machine learning method, and the trained neural network is used as the mapping relationship between the tower crane hoisting and the life, thereby realizing the calculation of the residual life of the tower crane, while also reducing the input data and the number of sensors.

[0057] Further, the method for evaluating the life of the tower crane may further comprise a step (b1) of managing a tower crane construction assembly plan according to archive information.

[0058] Specifically, the management of the tower crane construction assembly plan according to the archive information, i.e., the step (b1), may comprise sub-steps, for example:

[0059] (b11) obtaining construction intensity, construction site and construction period.

[0060] (b12) determining a target construction component according to the construction intensity, the construction site and the archive information.

[0061] (b13) determining a tower crane assembly scheme according to the archive information of the construction period and the target construction component, to select a target assembly scheme from the tower crane assembly scheme. and

[0062] (b14) outputting the archive information of the target construction component in the target assembly scheme.

[0063] Further, the method for evaluating the tower crane life span, for example, further comprises step (b2): exhibiting the tower crane life span according to the archive information.

[0064] Further, the method for evaluating the tower crane life span, for example, further comprises step (b3): managing the tower crane remanufacturing according to the archive information.

[0065] Specifically, the managing the tower crane remanufacturing according to the archive information, i.e. step (b3), for example, comprises sub-steps:

[0066] (b31) obtaining a component number and a remanufacturing scheme of a target remanufacturing component.

[0067] (b32) obtaining the archive information of the target remanufacturing component according to the component number of the target remanufacturing component.

[0068] (b33) determining a target remanufacturing influence coefficient according to the archive information of the target remanufacturing component and the remanufacturing scheme.

[0069] (b34) updating the remanufacturing influence coefficient in the archive information to the target remanufacturing influence coefficient after completing the remanufacturing of the target remanufacturing component. and

[0070] (b35) updating the residual life span information in the archive information according to the target remanufacturing influence coefficient.

[0071] Further, the method for evaluating the tower crane life span, for example, further comprises step (b4): managing the tower crane scrapping according to the archive information.

[0072] Specifically, the managing the tower crane scrapping according to the archive information, i.e. step (b4), for example, comprises sub-steps:

[0073] (b41) determining a target scrapped component with residual life span information meeting preset scrapping requirements according to the archive information.

[0074] (b42) selecting a target scrapped whole machine from the whole machines according to at least part of the target scrapped components in the target scrapped component. and

[0075] (b43) After the scrap processing of the target scrap whole machine is completed, the scrap influence coefficient and the remaining life information of the target scrap component in the target scrap whole machine are updated to 0.

[0076] The method 100 for evaluating the service life of the tower crane according to the embodiments of the present application can be applied to a device such as a controller, which can be a server on an Internet of Things cloud platform, for example.

[0077] In the embodiments of the present application, a controller is provided, which is configured to perform the method 100 for evaluating the service life of the tower crane according to any one of the preceding embodiments, for example. The specific functions and details of the method 100 for evaluating the service life of the tower crane can be referred to the related description of the preceding embodiments, which will not be repeated here.

[0078] In the embodiments of the present application, a server is provided, which comprises a controller. The controller is a controller according to any one of the preceding embodiments, for example. The specific functions and details of the controller can be referred to the related description of the preceding embodiments, which will not be repeated here.

[0079] The server is a server of an existing Internet of Things cloud platform of the tower crane, for example. The server can further comprise a memory for storing input data, output data, intermediate data and / or other types of data such as program data required by the controller, for example.

[0080] In summary, the technical solutions of the embodiments of the present application can realize real-time calculation and update of the service life of the tower crane component and life management of the whole life cycle with high reliability, high accuracy, high timeliness, which conforms to the actual application scenarios of engineering, and can reduce the number of required data monitoring sensors of the tower crane.

[0081] The technical solutions of the embodiments of the present application will be described below in combination with an application example. The specific application example content is as follows.

[0082] On the basis of the existing Internet of Things big data of the tower crane, the tower crane loss life calculation model proposed in the embodiments of the present application is used to establish a tower crane life management system based on the existing Internet of Things big data of the tower crane on the basis of the association of the whole life cycle and the whole construction cycle of the tower crane component, so as to realize the purposes of real-time monitoring and updating of the service life of the tower crane component, management of the construction scheme of the tower crane, display of the service life of the tower crane, management of the remanufacturing of the tower crane and management of the scrap of the tower crane, etc.

[0083] The tower crane life management system based on the existing Internet of Things big data of the tower crane mainly includes four subsystems, i.e., a residual life display system, a tower crane construction assembly system, a tower crane remanufacturing management system and a tower crane scrapping management system. The background operation of these systems is mainly arranged on the server of the Internet of Things cloud platform, and the interface (UI) and information display (front end) of the system are mainly arranged on the terminal of the tower crane and the mobile phone app or computer app developed for users. The tower crane life management system based on the existing Internet of Things big data of the tower crane is provided with a large storage area, which includes five sub-storage areas, including four sub-storage areas respectively corresponding to the residual life display system, the tower crane construction assembly system, the tower crane remanufacturing management system and the tower crane scrapping management system, and a tower crane component file information storage area. These storage areas are also arranged on the server of the Internet of Things cloud platform.

[0084] The working process of the tower crane life management system based on the existing Internet of Things big data of the tower crane mainly involves the establishment and initialization of the file of the components of the tower crane, the real-time monitoring and updating of the file information of the components of the tower crane, and the construction assembly scheme management, life display, remanufacturing management and scrapping management of the tower crane based on the file information of the components of the tower crane, and the specific contents are as follows.

[0085] (a) Establishment and initialization of the file of the components of the tower crane. Specifically, the effective life of the tower crane under standard working conditions is calculated according to the field test and simulation of the tower crane, which is used as the design equivalent life information of the tower crane. The file is established in units of component numbers of the tower crane, and the residual life information, design equivalent life information, factory information, lifting performance information, use state information and structure parameters of the components of the tower crane are stored in the file corresponding to the component number in the tower crane component file information storage area to realize the initialization of the file information of the components of the tower crane. When the file is initially established, the residual life information is set to be a null value or other appropriate initial value. After the file of the components of the tower crane is initially established and initialized, the file information of the components of the tower crane will be updated in real time during the working process.

[0086] (b) Real-time monitoring and updating of the profile information of the components of the tower crane. Specifically, real-time working condition information of the tower crane is obtained using the tower crane sensors and the tower crane controller, including real-time hoisting torque and real-time hoisting amplitude value. The tower crane life management system based on the existing Internet of Things big data of the tower crane is implemented on the existing Internet of Things platform of the tower crane, and the data used can be obtained by the tower crane sensors of the Internet of Things platform without the need for installation of other sensors. The real-time hoisting torque of the tower crane is obtained by the tower crane sensors, and the real-time hoisting amplitude value of the tower crane is obtained by the tower crane controller. Then the profile information of the components of the tower crane is read, combined with the real-time working condition information and the tower crane wear life calculation model, the real-time residual life information of the components of the tower crane is calculated, and the residual life information in the profile information of the tower crane is updated to the real-time residual life information. The most commonly used in the real-time residual life information is the final residual life, and the application example also takes the final residual life YS n The final residual life is used as the main index to measure the residual life of the tower crane.

[0087] (c) Construction scheme management, life display, remanufacturing management and scrapping management of the tower crane based on the profile information of the components of the tower crane. Specifically, according to user requirements, using the profile information of the components of the tower crane, the tower crane construction scheme management before construction, the tower crane life display during construction, the tower crane component maintenance management after construction, maintenance management and remanufacturing management, and finally the tower crane scrapping management can be completed respectively, so as to realize the whole life cycle management of the tower crane associated with construction and users.

[0088] In step a, the establishment and initialization of the profile of the components of the tower crane specifically includes the following contents:

[0089] (1) The use of enterprise big data such as the tower crane operation data recorded in the existing Internet of Things cloud platform of the tower crane to statistically analyze the use of the components of the tower crane, and through a large number of systematic tests and simulations on the whole tower crane, the key structural components of the tower crane that are most prone to fatigue failure are determined, which are: hoisting arm, transition joint, foundation joint, tower body standard joint, upper support, lower support, and tower head.

[0090] (2) Taking the identified key structural components as units, the component files are established using the component number of the key structural components as "identity cards". The manufacturing information of the components, such as the manufacturing date, key component name, serial number, bound tower crane terminal number and initial bound customer number, as well as the lifting performance information, including the component number, bound tower crane terminal number, and the correspondence between the lifting amplitude value and the rated load torque, are entered into the tower crane component file information storage area.

[0091] (3) Based on field tests and simulations of the tower crane, the design researchers performed finite element modeling of the tower crane to obtain the structural stress under typical working conditions. They also extracted user data from enterprise big data to obtain the load spectrum. Then, considering the fatigue characteristics of welds and base metal, they employed various fatigue life calculation methods, such as the structural stress method and the local stress method, to separately evaluate and calculate the lifespan of the tower crane's welds and base metal. Finally, they obtained a relatively scientific and accurate quantified lifespan of the tower crane components under typical working conditions, i.e., standard working conditions. This is the design equivalent lifespan Y1 and design equivalent number of cycles N1 of the tower crane components under the rated load spectrum coefficient Kp1 working condition. The design equivalent lifespan information, including the load spectrum coefficient Kp1, design equivalent lifespan Y1, and design equivalent number of cycles N1, was then stored in the tower crane component archive, completing the establishment and initialization of the component archive.

[0092] In step b, the real-time monitoring and updating of the component archive information of the tower crane specifically includes the following:

[0093] (1) Collection of real-time operating information of tower cranes.

[0094] Tower cranes acquire real-time lifting torque M during operation via torque sensors mounted on the jib. wn The existing control system hardware of the tower crane terminal is used for signal noise reduction processing. Real-time lifting amplitude and other operational information of the tower crane are obtained through the tower crane controller. Data is transmitted to the ECU of the tower crane terminal via a LAN485 bus. The ECU of the tower crane terminal obtains the rated load torque M under the current operating conditions based on the tower crane's lifting performance information, such as a lifting performance table. e Each tower crane corresponds to a terminal, and each terminal has a unique terminal number. When a tower crane is erected, the tower crane component number is linked to the tower crane terminal number. The component number is obtained through the tower crane terminal number, and then the necessary information from the archive is retrieved. This is done using formula K. n =M wn / M e ×100% is used to calculate the percentage of the real-time maximum load moment K during tower crane operation. n .

[0095] (2) Calculation of real-time residual life information of components of the tower crane.

[0096] The linear fatigue cumulative damage theory is used to calculate the life estimation formula: NS n = N1-N2, wherein NS n is the real-time residual life number of the tower crane, and when NS n is equal to or less than 0, it indicates that the tower crane or the component reaches the scrapping condition. N1 is the design equivalent number of the tower crane under the standard working condition, which is obtained by step a. N2 is the equivalent damage of the first to the nth time of hoisting under the standard working condition, which is the damage degree under the customer's use condition converted to the equivalent damage value under the standard working condition.

[0097] From the curve of the relationship between the material fatigue strength and the material fatigue life, that is, the material S-N experimental curve, it can be known that the fatigue limit and the basic stress cycle number are related. And the main reference value for measuring the life of the material is stress. Since the tower crane is relatively sensitive to the hoisting moment, and the existing Internet of Things cloud platform only has a torque sensor arranged on the hoisting arm, the hoisting moment is easy to obtain. In addition, there is a mapping relationship between stress and hoisting moment. Therefore, when calculating the life of the tower crane, the hoisting moment is used to replace the stress, and the load spectrum coefficient calculation method of the tower crane is combined, and finally

[0098] Further, an index for measuring the residual life, that is, the real-time residual life number NS is obtained, wherein K i is the maximum load moment percentage of the ith time of hoisting. Wherein NS0 = N1, that is, for the component with 0 hoisting times, that is, without hoisting, the real-time residual life number is equal to the design equivalent number.

[0099] Correspondingly, another index for measuring the residual life, that is, the real-time residual life YS1

[0100] When considering the non-working state of the tower crane, due to the factors such as preservation and environment, the tower crane produces temperature fatigue, corrosion fatigue, etc. The real-time natural residual life YS2 n = Y1-(T2 n -T1) can also be used as a further guarantee for the safety of the tower crane, wherein T2 n is the real-time date, that is, the date when the real-time natural residual life is calculated, and T1 is the factory date. Thus, another index for measuring the residual life, that is, the real-time final residual life YS n = μγmin(YS1 n , YS2 n). Wherein, μ is the remanufacturing influence coefficient, determined by the remanufacturing management process, and saved in the archives of the component as part of the archives information of the component after determination; γ is the scrap influence coefficient, determined by the scrap management process, and also saved in the archives of the component as part of the archives information of the component after determination, γ = 0 after the component is scrapped, otherwise γ = 1.

[0101] Finally, the real-time residual life times, the real-time residual life years, the real-time natural residual life and the real-time final residual life are taken as the real-time residual life information of the components of the tower crane, and the real-time residual life information is updated to the archives of the components of the tower crane through the GPRS device.

[0102] In step c, the construction assembly scheme management, the life display, the remanufacturing management and the scrap management of the tower crane realized based on the archives information of the components of the tower crane specifically include the following contents:

[0103] (1) The construction assembly scheme management of the tower crane. Before construction, the user can input the construction period, the construction site and the construction intensity and other information into the tower crane construction assembly system. Based on the existing Internet of Things big data of the tower crane life management system, a series of components of the tower crane satisfying the construction intensity, the construction site and the archives information and other information are first selected as target construction components from the archives information of the components stored in the archives information storage area of the tower crane components according to the construction intensity, the construction site and the archives information and other information. Then, a plurality of sets of components satisfying the residual life information and simultaneously satisfying the construction period are preferentially matched according to the construction period of the tower crane and the archives information of the target construction components, and a series of tower cranes with residual life years being 20%, 30% or 50% greater than the construction period are assembled into a whole machine as the tower crane assembly scheme for the user to select. After the user selects the target assembly scheme, the tower crane construction assembly system will display the archives information of each component of the tower crane in the target assembly scheme to the user, so as to facilitate the user to assemble the tower crane accordingly.

[0104] (2) The life display of the tower crane. During use, the life of the tower crane, such as the real-time final residual life, is updated in real time. In order to intuitively observe the life change of each component of the tower crane, the residual life display system divides the life of the components of the tower crane into 6 stages, with different colors for different stages, the latest component in green and the oldest in red, with the color increasing layer by layer in between. The color is divided into 5-year grades, with one less grade per year, a total of 6 grades, 6 grades for green and 1 grade for red. The current grade is G = (YS n / 5) + 1, wherein (YS n / 5) represents YS n / 5 rounding. The color of each component of the three-dimensional model of the tower crane changes with the real-time final remaining life. Meanwhile, the real-time final remaining life of each component of the tower crane is displayed through a bar chart.

[0105] (3) The tower crane remanufacturing management process is shown in Figure 2A The tower crane life management system selects a tower crane component with a remaining life of between 5 and 15 years and without remanufacturing as a potential remanufacturing object and stores it in the remanufacturable spare parts library, otherwise it is stored in the non-remanufacturable component library. The user can select a component number of a remanufacturing object, i.e., a target remanufactured component, from the remanufacturable spare parts library through the tower crane remanufacturing management system. The tower crane remanufacturing management system will pop up a remanufacturing scheme selection box, which will display information such as the estimated price and the estimated remanufacturing time period of remanufacturing schemes such as rust prevention, surface defect treatment, and dangerous weld reinforcement, for the user to refer to and select. After the user selects a remanufacturing scheme, the archive of the selected target remanufactured component is moved from the component archive information storage area to the remanufacturing archive area in the corresponding sub-storage area of the tower crane scrap management system, and the detailed remanufacturing scheme is uploaded to the archive information of the target remanufactured component. Then other workers arrange for the enterprise to remanufacture the component according to the information in the remanufacturing archive area. After remanufacturing, the archive information of the target remanufactured component in the remanufacturing archive area is updated, the real-time final remaining life is updated by multiplying the real-time final remaining life before remanufacturing of the tower crane by the new remanufacturing impact coefficient μ determined by the remanufacturing scheme, there are multiple remanufacturing schemes for remanufacturing a component, different methods have different effects on life, so μ is different, and the remanufacturing impact coefficient corresponding to the entire remanufacturing process is calculated by comprehensively considering the effects of various methods on life. The remaining life information is recalculated and updated using the remanufacturing impact coefficient. Then the updated archive of the target remanufactured component is moved back to the component archive information storage area for use by other systems.

[0106] (4) The tower crane scrap management process is shown in Figure 2BAs shown, the tower crane life management system selects tower crane components with remaining lifespans that meet scrapping conditions (e.g., less than 0.5 years) as pre-scrapping components, i.e., target scrapping components. The component file is moved from the component file information storage area to the pre-scrapping component archive area within the corresponding sub-storage area of ​​the tower crane scrapping management system. The tower crane scrapping management system searches the pre-scrapping component archive area periodically, e.g., monthly, to see if the target scrapping component can be matched with a complete tower crane. When one or more complete tower crane sets are matched, a message notification is displayed on the main interface of the tower crane life management system, reminding the user that there is a complete tower crane that can be scrapped. After the user views the information and confirms scrapping, the file of the component corresponding to the selected complete tower crane is moved to the scrapping file archive area within the corresponding sub-storage area of ​​the tower crane scrapping management system. Simultaneously, the scrapping strategy of the tower crane scrapping management system is executed, the scrapping impact coefficient γ becomes 0, the component lifespan (e.g., real-time final remaining lifespan) is reset to 0, and the component file information of the tower crane is updated. Then, the tower crane scrapping management system will select components such as the tower body, upper and lower supports, climbing frame, and boom from the scrapping archive area to form a complete machine with a lifespan of 0 for scrapping and deregistration.

[0107] The tower crane life management system, based on existing IoT big data, can realize real-time monitoring and assessment of the remaining life of tower cranes. It can accurately estimate the real-time remaining life information of tower cranes and their components, and link the entire life cycle of tower crane components with construction, remanufacturing, etc., to achieve precise and scientific management of tower cranes. This can greatly standardize the use and management of tower cranes, and achieve the goals of promoting safe construction and improving work efficiency.

[0108] The following is a technical application example of tower crane user management, mainly focusing on the construction cycle timeline and emphasizing the usage process of each user management function. The application background is that the tower crane life management system has completed the establishment and initialization of the tower crane component files. A user is about to go to the construction site to carry out construction work. The specific application steps are as follows:

[0109] Step 1: Management of tower crane construction assembly plan.

[0110] like Figure 2CAs shown, the user logs in to the tower crane life management system account and enters the tower crane construction system. The estimated maximum lifting weight, maximum lifting height, construction period, construction site, etc. Information is input, such as maximum lifting weight 2.5t, maximum lifting height 30m, maximum construction distance 45m, construction period 5 years, etc. The tower crane construction system first matches the input predicted working condition information with the lifting performance table of each type of tower crane in the component file information storage area. A series of recommended tower crane models that meet the construction requirements are selected according to the priority. At the same time, the lifting performance, estimated price, etc. Information of each type of tower crane is displayed for the user to refer to when selecting. When the user selects, clicks on the model name in the model column, the tower crane construction system will filter out the relevant information of each component of the model, and then according to the construction period of 5 years, 3 groups of tower crane construction schemes with the final remaining life of the whole machine exceeding 20%, 35%, and 50% of the construction period are selected for the user to choose.

[0111] Step 2: Real-time monitoring and evaluation of the remaining life of the tower crane.

[0112] Before the tower crane is used on site, the tower crane construction process data is entered, including the time of erecting the tower, jacking up, and dismantling the tower, as well as the corresponding component number and key component name. The data is uploaded to the server through GPRS to realize data storage. When the W6017-10B tower crane is in operation, the torque sensor on the lifting arm collects the real-time lifting torque of the tower crane in operation in real time. Through the LAN485 bus, the data is transmitted to the tower crane terminal device ECU for data cleaning and analysis, combined with the real-time lifting amplitude value of the tower crane, etc. The real-time maximum load torque percentage K n of the tower crane in operation is obtained. The ECU uses the above tower crane wear life calculation model to calculate the real-time remaining life information of each component of the tower crane. The calculated results are displayed on the tower crane terminal and uploaded to the server through the GPRS device to update the component file information of the tower crane. After the W6017-10B tower crane has been in operation for a period of time, the terminal life display is as shown in Figure 2D .

[0113] Practical application case of tower crane remanufacturing management. The use process of the tower crane remanufacturing management system is: the user logs in to the account and enters the tower crane life management system, then enters the tower crane remanufacturing management system, which automatically obtains the component file information of the current user's tower crane from the tower crane life management system. The user enters the remanufacturing candidate library interface (as shown in Figure 2EAs shown in the image, view the file information of the remanufacturable part. Clicking the part number (ID) will add the part to the selected parts list. The information box in the lower left corner of the interface will display detailed file information of the currently selected part for user reference. After selecting the remanufacturing part, click Submit. The user can then proceed to the next step: selecting a remanufacturing plan, i.e., remanufacturing plan creation. The remanufacturing plan creation interface is shown below. Figure 2F As shown, different remanufacturing solutions suitable for tower cranes will be provided, along with the estimated cost, estimated time, and remanufacturing impact coefficient of each solution. Users can select a suitable remanufacturing solution based on their budget and timeline. After submitting the remanufacturing solution, the system will track the component remanufacturing process. Users can check the remanufacturing progress on the interface (e.g., ...). Figure 2G As shown in the diagram, click on the ID of the remanufactured part to view the remanufacturing process and progress of that part. Users can also click on a specific step in the flowchart to view detailed information about that step.

[0114] This invention provides an application example of achieving full lifecycle management of tower crane components from factory to scrapping through both cloud management and user management approaches. Simultaneously, based on the tower crane lifecycle management system, four subsystems are derived: a remaining lifecycle display system, a tower crane construction and assembly system, a tower crane remanufacturing management system, and a tower crane scrapping management system. These subsystems link the tower crane lifecycle management system with actual user engineering applications, achieving full lifecycle management of tower crane components from both enterprise and user perspectives. Based on the fatigue damage principle and combined with the theoretical SN curve, this invention derives the relationship between actual online operating data of the tower crane and theoretical stress, establishing a tower crane wear-out life calculation model. The tower crane wear-out life calculation model proposed in this invention is more consistent with actual engineering application scenarios and has higher reliability. The tower crane wear-out life calculation model uses the real-time maximum load torque percentage as model input, which can reduce the number of data monitoring sensors on the tower crane. The algorithm is simple and reliable, using an IoT cloud platform for remote calculation, without occupying the local hardware resources of the tower crane, and can achieve accurate dynamic estimation of the remaining life of tower crane components. Through systematic experiments and simulations, the fatigue life of the entire tower crane structure was studied. Statistical analysis of existing IoT big data on tower cranes identified the key structural components most prone to fatigue failure and incorporated them into the tower crane life management system. These components are: jib, transition section, foundation section, standard tower section, upper support, lower support, and tower head. Considering the characteristics of weld fatigue and base metal fatigue, various fatigue life calculation methods, such as the structural stress method and the local stress method, were employed to separately assess and calculate the lifespan of the tower crane's welds and base metal, obtaining relatively accurate design equivalent life information. This design equivalent life information is stored as component archive information on an IoT cloud platform for tower crane life assessment and management.

[0115] Those skilled in the art will appreciate that embodiments of the present application can be readily used as a method, a system or a computer program product. Accordingly, the present application can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application can take the form of a computer program product on one or more computer readable storage media (including, but not limited to, disk memory, CD-ROMs, optical storage devices, etc.) embodying computer readable program code.

[0116] The present application is described in reference to the flowchart illustrations and / or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general purpose computer, special purpose computer, embedded processor or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams block or blocks. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams block or blocks. Figure 1 means for performing the function specified by the flowchart illustrations and / or block diagrams block or blocks.

[0117] These computer program instructions can also be stored in a computer readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer readable memory produce an article of manufacture including instructions which implement the flowchart illustrations and / or block diagrams block or blocks. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams block or blocks. Figure 1 means for performing the function specified by the flowchart illustrations and / or block diagrams block or blocks.

[0118] These computer program instructions can also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the flowchart illustrations and / or block diagrams block or blocks. Figure 1 one or more functions specified in the flowchart illustrations and / or block diagrams block or blocks. Figure 1 means for performing the function specified by the flowchart illustrations and / or block diagrams block or blocks.

[0119] In a typical configuration, a computing device includes one or more processors (CPUs), input / output interfaces, network interfaces, and memory.

[0120] The memory can include non-persistent memory, random access memory (RAM), and / or non-volatile memory, such as read only memory (ROM) or flash memory, among others. The memory is an example of computer readable media.

[0121] Computer-readable media includes permanent and non-permanent, movable and non-movable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible to a computing device. According to the definition herein, computer-readable media does not include transitory media such as modulated data signals and carriers.

[0122] It should also be noted that the terms "comprising", "containing", or any other variant thereof are intended to cover non-exclusive inclusions, so that a process, method, article or apparatus that includes a list of elements does not only include those elements, but also includes other elements not explicitly listed, or further includes elements inherent to such a process, method, article or apparatus. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or apparatus that includes the element.

[0123] The above only is the embodiment of the present application, and is not used to limit the present application. For those skilled in the art, the present application can have various changes and variations. Any modification, equivalent replacement, improvement, etc. within the spirit and principle of the present application shall be included in the scope of claims of the present application.

Claims

1. A method for assessing the lifetime of a tower crane, characterized in that, The method comprises: obtaining profile information of a component of the tower crane, wherein the profile information at least comprises residual life information of a previous hoisting component; obtaining real-time working condition information of the tower crane; determining real-time residual life information of the component according to the profile information, the real-time working condition information and a tower crane loss life calculation model; updating the residual life information to the real-time residual life information; and the profile information further comprises at least one of the following options: component number; design equivalent life information under design working condition; factory information; hoisting performance information; and use status information; the design equivalent life information comprises load spectrum coefficient, design equivalent life and design equivalent times, the factory information comprises factory date and binding tower crane terminal number, the hoisting performance information comprises component number, binding tower crane terminal number, correspondence between hoisting amplitude value and rated load torque, the use status information comprises remanufacturing influence coefficient and scrap influence coefficient, and the residual life information comprises residual life times, residual life, natural residual life and final residual life; the real-time working condition information comprises real-time hoisting torque and real-time hoisting amplitude value; the determination of the real-time residual life information of the component according to the profile information, the real-time working condition information and the tower crane loss life calculation model comprises: determining rated load torque according to the component number, the binding tower crane terminal number, the real-time hoisting amplitude value and the hoisting performance information; determining real-time maximum load torque percentage according to the real-time hoisting torque and the rated load torque; determining the real-time residual life information according to the residual life times of the previous hoisting component, the real-time maximum load torque percentage, the load spectrum coefficient, the design equivalent life, the design equivalent times, real-time date, the factory date and the tower crane loss life calculation model; the tower crane loss life calculation model is defined as: NS ； ； ； ； wherein, NS n is the real-time residual life number of times, NS n-1 is the residual life number of times of the previous hoisting component, Kp 0= N 1, N 1 is the design equivalent number of times, YS 1 is the load spectrum coefficient, YS 1 n is the real-time residual life in years, Y 1 is the design equivalent life, YS 2 n is the real-time natural residual life, T2 n is the real-time date, T 1 is the factory date, the component comprises at least one of the following options: n is the real-time final residual life, is the remanufacturing impact coefficient, is the scrap impact coefficient.

2. The method of claim 1, wherein, hoisting arm; transition joint; base joint; tower body standard joint; upper support; lower support; and tower head. the relationship between the real-time maximum load torque percentage and the real-time hoisting torque and the rated load torque satisfies:

3. The method of claim 1, wherein, Me K n =M wn / M e × 100%； wherein n is the real-time number of hoisting times of the tower crane, K n is the real-time maximum load moment percentage, M wn is the real-time hoisting moment, the method further comprises: is the rated load moment.

4. The method of claim 1, wherein, managing tower crane construction assembly scheme according to the profile information. the management of the tower crane construction assembly scheme according to the profile information comprises:

5. The method of claim 4, wherein, obtaining construction intensity, construction site and construction period; determining target construction component according to the construction intensity, the construction site and the profile information; determining tower crane assembly scheme according to the construction period and the profile information of the target construction component to select target assembly scheme from the tower crane assembly scheme; and outputting the profile information of the target construction component in the target assembly scheme. the method further comprises:

6. The method of claim 1, wherein, displaying tower crane life according to the profile information. the method further comprises:

7. The method of claim 1, wherein, managing tower crane remanufacturing according to the profile information. ​ 8. The method of claim 7, wherein, The tower crane remanufacturing management according to the archive information comprises: obtaining a component number and a remanufacturing scheme of a target remanufactured component; obtaining archive information of the target remanufactured component according to the component number of the target remanufactured component; determining a target remanufacturing influence coefficient according to the archive information of the target remanufactured component and the remanufacturing scheme; updating the remanufacturing influence coefficient in the archive information to the target remanufacturing influence coefficient after completing remanufacturing of the target remanufactured component; and updating residual life information in the archive information according to the target remanufacturing influence coefficient.

9. The method of claim 1, wherein, Further comprising: tower crane scrapping management according to the archive information.

10. The method of claim 9, wherein, The tower crane scrapping management according to the archive information comprises: determining a target scrapped component whose residual life information meets preset scrapping requirements according to the archive information; selecting a target scrapped whole machine from whole machines composed of at least part of the target scrapped components; and updating a scrapping influence coefficient and residual life information of the target scrapped component in the target scrapped whole machine to 0 after completing scrapping of the target scrapped whole machine.

11. A controller characterized by comprising: A controller configured to perform the method for evaluating the life of a tower crane according to any one of claims 1 to 10.

12. A server, characterized by Comprise: The controller according to claim 11.

Images