Tower crane data analysis method, device, system, electronic equipment and storage medium

Abstract

The present invention relates to a tower crane data analysis method, device, system, electronic device and storage medium, and belongs to the technical field of tower cranes. A tower crane data analysis method provided by the present invention comprises: obtaining tower crane operation data; dividing the tower crane operation data into tower crane operation data groups based on the operation time and according to quartiles; obtaining the tower crane's work cycle data and alarm data based on the tower crane operation data group; obtaining one or both of the tower crane's daily work data and historical work data based on the work cycle data; forming a tower crane alarm trend graph based on the alarm data; obtaining a viewing instruction, and controlling the terminal device to display the daily work data, historical work data or the tower crane alarm trend graph according to the viewing instruction; and sending the alarm data to the terminal device. Through the improvement of the present invention, it is beneficial for managers to remotely control the detailed working conditions of the tower crane, provide data support for managers' decision-making, and improve the safety of operators and equipment.

Description

Technical Field

[0001] The invention relates to a tower crane data analysis method, device and system, and belongs to the technical field of tower cranes. Background Art

[0002] With the development of Internet technology and Internet of Things technology, smart construction sites have become a development trend, and the use of tower cranes is a key part of it.

[0003] At present, tower cranes have entered the general direction of intelligent and automated development. However, the existing tower crane system is mainly used to display the real-time data of the tower crane and realize the visualization of the hook. The management personnel cannot control the working status of the tower crane as a whole and cannot play a good auxiliary role in the construction work. Summary of the invention

[0004] In order to solve the problems existing in the above-mentioned prior art, to facilitate the management personnel to grasp the working conditions of the tower crane as a whole, and to better assist the construction work; the present invention provides a tower crane data analysis method, device, system electronic equipment and storage medium, which adopts the following technical solutions:

[0005] A tower crane data analysis method comprises the following steps:

[0006] Acquire tower crane operation data, the tower crane operation data including equipment number, operation time corresponding to the equipment number, lifting weight and alarm type; the operation time includes multiple operation time points, and the operation time points correspond to the lifting weight or the alarm type;

[0007] Based on the operation time, the tower crane operation data is divided into tower crane operation data groups according to quartiles;

[0008] Based on the tower crane operation data group, obtaining the working cycle data and alarm data of the tower crane;

[0009] Based on the working cycle data, one or both of the daily working data and the historical working data of the tower crane are obtained;

[0010] Based on the alarm data, forming a tower crane alarm trend graph;

[0011] Obtaining a viewing instruction, and controlling the terminal device to display the current day's work data, the historical work data or the tower crane alarm trend graph according to the viewing instruction; the viewing instruction is based on user-side input;

[0012] The alarm data is sent to the terminal device.

[0013] By adopting the above technical solution, a large amount of tower crane operation data can be segmented, and the segmented tower crane operation data groups can be analyzed to obtain work cycle data and alarm data; through the work cycle data, the tower crane's daily work data and historical work data can be obtained by segmenting on a time scale; long-term trend analysis and visualization can be achieved, which is beneficial for managers to control the operating status of the tower crane, assist the operation of the tower crane, and receive alarm information in a timely manner for processing, thereby ensuring the safety of personnel and equipment.

[0014] Preferably, the tower crane operation data is divided into tower crane operation data groups based on the operation time and according to quartiles; including:

[0015] According to the running time, obtaining time differences between adjacent running time points in the running time to form a time difference set;

[0016] Determine outliers in the time difference set according to quartiles;

[0017] Taking the outlier as a threshold, the operation time points with a time difference within the threshold and the corresponding lifting weight or alarm type are classified into the same group of tower crane operation data to achieve automatic segmentation of the tower crane operation data.

[0018] By adopting the above technical solution, outliers in the time difference set are counted based on quartiles, without assuming data distribution, and with good generalization.

[0019] Preferably, the obtaining of the working cycle data and alarm data of the tower crane based on the tower crane operation data group comprises:

[0020] According to the tower crane operation data group, the lifting weight greater than the default lifting weight and the corresponding operation time point are divided into a working cycle to obtain the working cycle data; wherein the default lifting weight is preset according to the tower crane model;

[0021] According to the tower crane operation data group, the data of the same alarm type corresponding to the operation time point are divided into one alarm to obtain the alarm data.

[0022] Preferably, the work cycle data includes equipment number, work start time, work end time, tower crane operation time and tower crane lifting weight; the alarm data includes alarm start time, alarm end time and alarm type.

[0023] Preferably, the working data for the day includes the number of times the tower crane lifts that day, the weight lifted by the tower crane that day and the effective working time of the day;

[0024] The historical working data includes the historical lifting times of the tower crane, the historical lifting weight of the tower crane and the historical effective working time.

[0025] By adopting the above technical solution, the working cycle data can be analyzed from different time dimensions, which can not only realize the real-time tracking of the on-site status of the tower crane but also grasp the overall trend of the tower crane's operating status.

[0026] Preferably, the lifting weight is obtained based on a weight sensor preset in the tower crane; the equipment number and the running time are obtained based on a safety protection device preset in the tower crane;

[0027] The weight sensor is in communication connection with the safety protection device.

[0028] In order to achieve the above object, the present invention also provides a tower crane data analysis device, comprising:

[0029] A first acquisition unit is used to acquire tower crane operation data, wherein the tower crane operation data includes a device number, an operation time corresponding to the device number, a lifting weight, and an alarm type; the operation time includes a plurality of operation time points, and the operation time points correspond to the lifting weight or the alarm type;

[0030] A second acquisition unit is used to divide the tower crane operation data into tower crane operation data groups based on the operation time and according to quartiles; the operation time includes a plurality of operation time points, and the operation time points correspond to the lifting weight or the alarm type;

[0031] A third acquisition unit is used to acquire the working cycle data and alarm data of the tower crane based on the tower crane operation data group; the working cycle data includes the equipment number, the working start time, the working end time, the tower crane operation time and the tower crane lifting weight; the alarm data includes the alarm start time, the alarm end time and the alarm type;

[0032] A fourth acquisition unit, configured to acquire one or both of the current day work data and the historical work data of the tower crane based on the work cycle data;

[0033] A fifth acquisition unit, configured to form a tower crane alarm trend graph based on the alarm data;

[0034] a sixth acquisition unit, configured to acquire a viewing instruction, and control the terminal device to display the current day's work data, the historical work data or the crane alarm trend chart according to the viewing instruction; the viewing instruction is based on a user terminal input; and

[0035] The first sending unit is used to send the alarm data to the handheld terminal.

[0036] In addition, in order to solve the above problems, the present invention also provides a tower crane data analysis system, comprising:

[0037] Includes user end, application server, algorithm server, interface server and database server;

[0038] The interface server is connected to the database server for communication, and the database server is connected to the algorithm server for communication; the database server is connected to the application server for communication, and the user terminal is connected to the application server for communication;

[0039] The user end is used for users to input operation instructions;

[0040] The interface server is used to receive the tower crane operation data and send it to the database server;

[0041] The algorithm server is used to execute the steps in the tower crane data analysis method described in any one of claims 1 to 5;

[0042] The database server is used to receive and store the tower crane operation data.

[0043] The real-time data volume of tower crane operation data is very large. By adopting the above technical solution, the normal operation of the tower crane data analysis system is guaranteed.

[0044] The present invention also provides an electronic device, comprising:

[0045] a memory for storing a computer program; and,

[0046] A processor, used to implement the tower crane data analysis method as described in any one of claims 1-5 when executing the computer program.

[0047] In order to solve the above problem, the present invention also provides a storage medium, and when the computer program is executed by a processor, the above tower crane data analysis method is implemented.

[0048] In summary, the present invention has the following beneficial technical effects:

[0049] 1. The present invention can realize the rapid tracking of the on-site status of the tower crane and the long-term trend analysis and visualization of the tower crane operation data, which is conducive to the management personnel to remotely control the detailed working conditions of the tower crane, control the operating status of the tower crane, provide data support for the management personnel's decision-making, and improve the safety of operators and equipment

[0050] 2. The present invention can realize accurate statistics and push of the tower crane's lifting weight, lifting times, effective working time and alarm information, so that management personnel can receive the alarm information in time for processing and ensure the safety of personnel and equipment;

[0051] 3. The present invention avoids data waste caused by excessive data volume generated by tower crane operation, maximizes the value of data, and provides good assistance to construction operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 It is a schematic diagram of the process of an embodiment of the present application;

[0053] Figure 2 is a schematic diagram of a device according to an embodiment of the present application;

[0054] Figure 3 It is a system schematic diagram of an embodiment of the present application. DETAILED DESCRIPTION

[0055] The present invention is further described in detail below in conjunction with the accompanying drawings.

[0056] An embodiment of the present invention discloses a tower crane data analysis method.

[0057] like Figure 1 FIG. 1 is a flow chart of a tower crane data analysis method according to an embodiment of the present invention. The method can be executed by a device, which can be implemented by software and / or hardware.

[0058] In this embodiment, the tower crane data analysis method includes the following steps:

[0059] S1. Acquire the tower crane operation data, which includes the equipment number, the operation time corresponding to the equipment number, and the lifting weight and alarm type corresponding to the operation time; wherein the lifting weight is acquired based on the weight sensor preset in the tower crane, and the lifting weight is the total weight of the tower crane sling, tower crane sling, tower crane container and items; the equipment number and the operation time are acquired based on the safety protection device preset in the tower crane; the weight sensor is connected to the safety protection device in communication; wherein the safety protection device is the tower crane black box;

[0060] S2. Based on the operation time, the tower crane operation data is divided into tower crane operation data groups according to quartiles; the operation time includes multiple operation time points, and the operation time points correspond to the lifting weight or alarm type;

[0061] Specifically, step S2 includes:

[0062] S201, according to the running time, obtaining the time difference between adjacent running time points in the running time to form a time difference set;

[0063] S202, determining outliers in the time difference set according to quartiles;

[0064] S203, taking the outlier as a threshold, classifying the operation time points and corresponding lifting weights or alarm types within the threshold into the same group of tower crane operation data to achieve automatic segmentation of the tower crane operation data;

[0065] S3, based on the tower crane operation data group, obtain the working cycle data and alarm data of the tower crane; wherein the working cycle data includes the equipment number, the working start time, the working end time, the tower crane operation time and the tower crane lifting weight; the alarm data includes the alarm start time, the alarm end time and the alarm type; specifically, step S3 includes:

[0066] S301. According to the tower crane operation data group, the lifting weight greater than the default lifting weight and the corresponding operation time point are divided into a work cycle to obtain work cycle data; wherein the default lifting weight is preset according to the tower crane model, and the default lifting weight is the total weight of the tower crane sling, the tower crane sling and the tower crane container; specifically, the smallest operation time point in the work cycle data is the work start time, the largest operation time point is the work end time, and the time difference between the smallest operation time point and the largest operation time point is the tower crane operation time;

[0067] S302, according to the tower crane operation data group, classify the data of the same alarm type corresponding to the operation time points into one alarm to obtain alarm data; specifically, among the data of the same alarm type, the operation time point corresponding to the earliest appearing alarm type is the alarm start time, and the operation time point corresponding to the latest appearing alarm type is the alarm end time;

[0068] S4. Based on the work cycle data, the current day work data and historical work data of the tower crane are obtained; wherein the current day work data includes the number of tower crane lifts, the tower crane lift weight and the effective working time of the day; the historical work data includes the historical number of tower crane lifts, the tower crane lift weight and the effective working time of the history; specifically, according to the amount of tower crane operation data and based on the operation time, the work cycle data is grouped according to time dimensions such as day and week;

[0069] S5. Based on the alarm data, a tower crane alarm trend graph is formed;

[0070] S6. Obtain viewing instructions, and control the terminal device to display the current day's work data, historical work data or crane alarm trend chart according to the viewing instructions; the viewing instructions are based on user-side input;

[0071] S7. Send the alarm data to a terminal device; the terminal device may be a mobile phone.

[0072] The present invention provides a tower crane data analysis device, which can be installed in an electronic device. According to the functions to be implemented, the tower crane data analysis device includes a first acquisition unit, a second acquisition unit, a third acquisition unit, a fourth acquisition unit, a fifth acquisition unit and a first sending unit. The unit described in the present invention can also be called a module, which refers to a series of computer program segments that can be executed by a processor of an electronic device and can complete fixed functions, and is stored in a memory of the electronic device.

[0073] In this embodiment, the functions of each unit / module are as follows:

[0074] The first acquisition unit is used to acquire the tower crane operation data, the tower crane operation data including the equipment number, the operation time corresponding to the equipment number, the lifting weight and the alarm type; the operation time includes a plurality of operation time points, and the operation time points correspond to the lifting weight or the alarm type;

[0075] The second acquisition unit is used to divide the tower crane operation data into tower crane operation data groups based on the operation time and according to quartiles; the operation time includes multiple operation time points, and the operation time points correspond to the lifting weight or the alarm type;

[0076] The third acquisition unit is used to acquire the working cycle data and alarm data of the tower crane based on the tower crane operation data group; the working cycle data includes the equipment number, the working start time, the working end time, the tower crane operation time and the tower crane lifting weight; the alarm data includes the alarm start time, the alarm end time and the alarm type;

[0077] A fourth acquisition unit, used for acquiring one or both of the current day working data and the historical working data of the tower crane based on the working cycle data;

[0078] A fifth acquisition unit, used for forming a tower crane alarm trend graph based on the alarm data;

[0079] A sixth acquisition unit is used to acquire a viewing instruction, and control the terminal device to display the working data of the day, the historical working data or the crane alarm trend chart according to the viewing instruction; the viewing instruction is based on the user terminal input; and

[0080] The first sending unit is used to send the alarm data to the handheld terminal.

[0081] The present invention provides a tower crane data analysis system, which includes a user terminal, an application server, an algorithm server, an interface server and a database server; the interface server is communicatively connected with the database server, and the database server is communicatively connected with the algorithm server; the database server is communicatively connected with the application server, and the user terminal is communicatively connected with the application server; the PC terminal is used for the user to input operation instructions; the interface server is used for receiving tower crane operation data and sending it to the database server; the algorithm server is used for executing the steps in the above-mentioned tower crane data analysis method; the database server is used for receiving and storing tower crane operation data.

[0082] An embodiment of the present invention further provides an electronic device, including:

[0083] a memory for storing a computer program; and,

[0084] A processor is used to implement the steps of the tower crane data analysis method as described above when executing the computer program.

[0085] Specifically, the specific implementation method of the processor for the above instructions can refer to Figure 1 The description of the relevant steps in the corresponding embodiments will not be repeated here.

[0086] An embodiment of the present invention further provides a storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of the tower crane data analysis method as described above are implemented.

[0087] Since the implementation example of the storage medium part corresponds to the implementation example of the tower crane data analysis part, please refer to the description of the implementation example of the tower crane data analysis part for the implementation example of the storage medium part, and it will not be repeated here.

[0088] In the several embodiments provided by the present invention, it should be understood that the disclosed devices, apparatuses and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules is only a logical function division, and there may be other division methods in actual implementation.

[0089] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0090] In addition, each functional module in each embodiment of the present invention may be integrated into one processing unit, each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional modules.

[0091] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

[0092] The above are preferred embodiments of the present invention, but are not intended to limit the protection scope of the present invention. Therefore, any equivalent changes made based on the structure, shape, and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A tower crane data analysis method, characterized in that: The steps include: Acquire tower crane operation data, wherein the tower crane operation data includes a device number, an operation time corresponding to the device number, a lifting weight, and an alarm type; Based on the operation time, the tower crane operation data is divided into tower crane operation data groups according to quartiles; the operation time includes multiple operation time points, and the operation time points correspond to the lifting weight or the alarm type. Based on the operation time, the tower crane operation data is divided into tower crane operation data groups according to quartiles; including: According to the running time, obtaining time differences between adjacent running time points in the running time to form a time difference set; Determine outliers in the time difference set according to quartiles; Taking the outlier as a threshold, classifying the operation time points whose time differences are within the threshold and the corresponding lifting weights or alarm types into the same group of tower crane operation data to achieve automatic segmentation of the tower crane operation data; Based on the tower crane operation data group, the working cycle data and alarm data of the tower crane are obtained, including: According to the tower crane operation data group, the lifting weight greater than the default lifting weight and the corresponding operation time point are divided into a working cycle to obtain the working cycle data; wherein the default lifting weight is preset according to the tower crane model; According to the tower crane operation data group, the data of the same alarm type corresponding to the operation time point are divided into one alarm to obtain the alarm data; Based on the work cycle data, one or both of the current day work data and the historical work data of the tower crane are obtained, wherein the work cycle data includes the equipment number, the work start time, the work end time, the tower crane operation time and the tower crane lifting weight; the alarm data includes the alarm start time, the alarm end time and the alarm type; The working data for the day include the number of times the tower crane lifts that day, the weight lifted by the tower crane that day and the effective working time of the day; The historical working data includes the historical lifting times of the tower crane, the historical lifting weight of the tower crane and the historical effective working time; Based on the alarm data, forming a tower crane alarm trend graph; Obtaining a viewing instruction, and controlling the terminal device to display the current day's work data, the historical work data or the tower crane alarm trend graph according to the viewing instruction; the viewing instruction is based on user-side input; The lifting weight is obtained based on a weight sensor preset in the tower crane; the equipment number and the running time are obtained based on a safety protection device preset in the tower crane; The weight sensor is communicatively connected with the safety protection device; The alarm data is sent to the terminal device.

2. A tower crane data analysis system, based on the method of claim 1, characterized in that: Includes user end, application server, algorithm server, interface server and database server; The interface server is connected to the database server for communication, and the database server is connected to the algorithm server for communication; the database server is connected to the application server for communication, and the user terminal is connected to the application server for communication; The user end is used for users to input operation instructions; The interface server is used to receive the tower crane operation data and send it to the database server; The algorithm server is used to execute the steps in the tower crane data analysis method described in claim 1; The database server is used to receive and store the tower crane operation data.

3. An electronic device, characterized in that: include: Memory for storing computer programs; as well as, A processor is used to implement the tower crane data analysis method as claimed in claim 1 when executing the computer program.

4. A storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the tower crane data analysis method as claimed in claim 1 is implemented.

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