Full-amount data processing method, system and controller

Abstract

The invention discloses a total data processing method and system and a controller, and the method comprises the steps: obtaining gantry crane data, shield data and battery car data, respectively constructing a gantry crane parameter statistical table, a shield parameter statistical table and a battery car parameter statistical table, and generating a feedback instruction; and controlling pit bottom equipment according to the feedback instruction to obtain feedback data of the pit bottom equipment, constructing a target gantry crane parameter statistical table, a target shield parameter statistical table and a target battery car parameter statistical table according to the feedback data, performing fusion, and generating construction site feedback data according to the construction operation information. According to the method and the system, the data of the same type of equipment are combined through the user-defined operating system, and the data of the combined equipment of different types are fused, so that the data space association among the equipment in the construction site is finally realized, the problem of data barriers among the equipment is solved, the data statistics efficiency is improved, and the data statistics efficiency is improved. Control and application of data quality are simplified, and efficiency of construction site operation is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a full data processing method, system, controller and computer-readable storage medium. Background Art

[0002] IoTDeviceAccess is Huawei Cloud's IoT platform, which provides capabilities such as massive device connection, two-way message communication between devices and the cloud, batch device management, remote control and monitoring, OTA (Over-the-Air Technology) upgrades, and device linkage rules. It can also flexibly transfer device data to other Huawei Cloud services, helping IoT industry users quickly complete device networking and industry application integration.

[0003] However, for equipment access in all scenarios, some data at the work site needs to be filled in manually, which is inefficient and difficult to control. At the same time, there are many types of equipment in the entire scene, and data barriers are inevitable, making data management difficult.

[0004] Therefore, the prior art still needs to be improved and developed. Summary of the invention

[0005] The main purpose of the present invention is to provide a full data processing method, system, controller and computer-readable storage medium, aiming to solve the problems of low efficiency and difficult control caused by manual reporting of some data in the prior art, and serious data barriers and management difficulties caused by the diversity of equipment.

[0006] To achieve the above object, the present invention provides a full data processing method, which comprises the following steps:

[0007] Acquire multiple gantry crane data sent by the gantry crane system, multiple shield machine data sent by the shield machine system, and multiple battery car data sent by the battery car system;

[0008] Input all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and output the gantry crane parameter statistics table, shield machine parameter statistics table, battery vehicle parameter statistics table and feedback instructions respectively;

[0009] Send the feedback instructions to the gantry crane system, the shield system and the battery car system respectively, and receive multiple feedback gantry crane data, multiple feedback shield data and multiple feedback battery car data sent by the gantry crane system, the shield system and the battery car system;

[0010] Count all feedback gantry crane data, all feedback shield machine data and all feedback battery car data, respectively generate a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery car parameter statistical table, fuse the gantry crane parameter statistical table, the target gantry crane parameter statistical table, the shield machine parameter statistical table, the target shield machine parameter statistical table, the battery car parameter statistical table and the target battery car parameter statistical table to obtain a fused data table;

[0011] The construction site feedback data is generated according to the fused data table and the pre-stored construction operation information.

[0012] Optionally, the full data processing method, wherein the acquiring of a plurality of gantry crane data sent by the gantry crane system, a plurality of shield machine data sent by the shield machine system, and a plurality of battery vehicle data sent by the battery vehicle system, specifically comprises:

[0013] Establishing connections with the portal crane system, the shield system, and the battery vehicle system through a customized operating system;

[0014] The customized operating system is used to obtain a plurality of portal crane data sent by the portal crane system, a plurality of shield machine data sent by the shield machine system, and a plurality of electric vehicle data sent by the electric vehicle system.

[0015] Optionally, the full data processing method, wherein all the gantry crane data, all the shield machine data and all the battery vehicle data are input into a constructed data analysis model, and a gantry crane parameter statistics table, a shield machine parameter statistics table, a battery vehicle parameter statistics table and a feedback instruction are output respectively, specifically includes:

[0016] Constructing a data analysis model, inputting all the gantry crane data, all the shield machine data and all the battery vehicle data into the data analysis model;

[0017] In the data analysis model, all the gantry crane data, all the shield machine data and all the battery vehicle data are analyzed respectively to obtain gantry crane difference data between all the gantry crane data, shield machine difference data between all the shield machine data and battery vehicle difference data between all the battery vehicle data;

[0018] Respectively adjust all the gantry crane data and the gantry crane difference data, all the shield machine data and the shield machine difference data, and all the battery vehicle data and the battery vehicle difference data into a preset format and merge them, and output the gantry crane parameter statistics table, the shield machine parameter statistics table, and the battery vehicle parameter statistics table;

[0019] Input all the pre-stored multiple index data of each gantry crane, each shield machine and each battery vehicle into the data analysis model, wherein each index data respectively represents the functional data index that each gantry crane, each shield machine and each battery vehicle needs to achieve within a preset time;

[0020] All the indicator data are analyzed in the data analysis model to generate feedback information, and feedback instructions are generated and output based on the feedback information, wherein the feedback instructions are used to control the target functional data indicators to be achieved by each gantry crane, each shield machine and each electric vehicle within the preset time.

[0021] Optionally, the full data processing method, wherein the sending of the feedback instructions to the portal crane system, the shield system and the battery car system respectively, and receiving a plurality of feedback portal crane data, a plurality of feedback shield data and a plurality of feedback battery car data sent by the portal crane system, the shield system and the battery car system, specifically comprises:

[0022] Through a custom operating system, feedback instructions are sent to the portal crane system, the shield system, and the battery vehicle system respectively;

[0023] Receiving, through a custom operating system, a plurality of feedback gantry crane data, a plurality of feedback shield machine data and a plurality of feedback battery vehicle data sent by the gantry crane system, the shield machine system and the battery vehicle system;

[0024] Among them, the feedback gantry crane data is generated by the gantry crane system after controlling all gantry cranes according to the feedback instructions, the feedback shield machine data is generated by the shield machine system after controlling all shield machines according to the feedback instructions, and the feedback electric vehicle data is generated by the electric vehicle system after controlling all electric vehicles according to the feedback instructions.

[0025] Optionally, the full data processing method, wherein the statistics of all feedback gantry crane data, all feedback shield machine data and all feedback battery vehicle data are generated to generate a target gantry crane parameter statistics table, a target shield machine parameter statistics table and a target battery vehicle parameter statistics table respectively, and the gantry crane parameter statistics table, the target gantry crane parameter statistics table, the shield machine parameter statistics table, the target shield machine parameter statistics table, the battery vehicle parameter statistics table and the target battery vehicle parameter statistics table are fused to obtain a fused data table, specifically including:

[0026] Count all feedback gantry crane data, all feedback shield machine data and all feedback battery vehicle data to obtain target gantry crane joint data, target shield machine joint data and target battery vehicle joint data of all the gantry cranes, all the shield machines and all the battery vehicles;

[0027] Input the target gantry crane joint data, the target shield machine joint data and the target battery vehicle joint data into the data analysis model, and output a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery vehicle parameter statistical table;

[0028] Constructing a fusion model, inputting the portal crane parameter statistics table and the target portal crane parameter statistics table, the shield machine parameter statistics table and the target shield machine parameter statistics table, and the battery vehicle parameter statistics table and the target battery vehicle parameter statistics table into the fusion model respectively, and outputting a portal crane parameter fusion table, a shield machine parameter fusion table, and a battery vehicle parameter fusion table;

[0029] The portal crane parameter fusion table, the shield machine parameter fusion table and the battery vehicle parameter fusion table are input into the fusion model, and a fusion data table is output.

[0030] Optionally, the method for processing the full amount of data, wherein generating the construction site feedback data according to the fused data table and the pre-stored construction operation information, specifically includes:

[0031] Extracting the functional data indicators that each gantry crane, each shield machine and each battery vehicle needs to achieve within a preset time based on all the data in the pre-stored construction operation information;

[0032] Add all the functional data indicators to the corresponding positions of the fusion data table to obtain the construction site feedback data;

[0033] Among them, the corresponding position represents the position of the target gantry crane parameter statistics table, the target shield machine parameter statistics table and the target electric vehicle parameter statistics table.

[0034] Optionally, the method for processing the full amount of data, wherein the step of adding all the functional data indicators to corresponding positions of the fusion data table to obtain the construction site feedback data, further comprises:

[0035] generating a construction site feedback instruction according to the construction site feedback data;

[0036] The construction site feedback instructions are sent to the gantry crane system, the shield system and the battery vehicle system respectively, so as to control the gantry crane system, the shield system and the battery vehicle system to control all the gantry cranes, all the shield machines and all the battery vehicles respectively according to the construction site feedback instructions.

[0037] In addition, to achieve the above-mentioned purpose, the present invention further provides a full data processing system, wherein the full data processing system comprises:

[0038] A data acquisition module, used to acquire multiple gantry crane data sent by the gantry crane system, multiple shield machine data sent by the shield machine system, and multiple battery car data sent by the battery car system;

[0039] An instruction generation module is used to input all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and output a gantry crane parameter statistics table, a shield machine parameter statistics table, a battery vehicle parameter statistics table and feedback instructions respectively;

[0040] A feedback data acquisition module, used to send the feedback instruction to the gantry crane system, the shield system and the battery car system respectively, and receive multiple feedback gantry crane data, multiple feedback shield data and multiple feedback battery car data sent by the gantry crane system, the shield system and the battery car system;

[0041] A data fusion module is used to count all feedback gantry crane data, all feedback shield machine data and all feedback battery car data, and respectively generate a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery car parameter statistical table, and fuse the gantry crane parameter statistical table, the target gantry crane parameter statistical table, the shield machine parameter statistical table, the target shield machine parameter statistical table, the battery car parameter statistical table and the target battery car parameter statistical table to obtain a fused data table;

[0042] The construction site data feedback module is used to generate construction site feedback data according to the fused data table and pre-stored construction operation information.

[0043] In addition, to achieve the above-mentioned purpose, the present invention also provides a controller, wherein the controller includes: a memory, a processor, and a full data processing program stored on the memory and executable on the processor, and when the full data processing program is executed by the processor, the steps of the full data processing method as described above are implemented.

[0044] In addition, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a full data processing program, and when the full data processing program is executed by a processor, the steps of the full data processing method as described above are implemented.

[0045] In the present invention, a plurality of gantry crane data sent by the gantry crane system, a plurality of shield machine data sent by the shield machine system and a plurality of electric vehicle data sent by the electric vehicle system are obtained; all the gantry crane data, all the shield machine data and all the electric vehicle data are input into the constructed data analysis model, and a gantry crane parameter statistics table, a shield machine parameter statistics table, an electric vehicle parameter statistics table and feedback instructions are output respectively; the feedback instructions are sent to the gantry crane system, the shield machine system and the electric vehicle system respectively, and a plurality of feedback gantry crane data, Multiple feedback shield data and multiple feedback battery car data; statistics of all feedback gantry crane data, all feedback shield data and all feedback battery car data, respectively generate target gantry crane parameter statistics table, target shield parameter statistics table and target battery car parameter statistics table, fuse the gantry crane parameter statistics table, the target gantry crane parameter statistics table, the shield parameter statistics table, the target shield parameter statistics table, the battery car parameter statistics table and the target battery car parameter statistics table to obtain a fused data table; according to the fused data table and pre-stored construction operation information, generate a construction site feedback number. The present invention combines the data between multiple devices of the same type through a customized operating system, and fuses the data of multiple joint devices of different types, and finally realizes the data space association between the equipment in the construction site, solves the problem of serious data barriers between equipment and difficult data management, and then provides convenience for users to manage multiple data, improves the efficiency of data statistics, simplifies the control and application of data quality, and significantly improves the efficiency of construction site operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 It is a flow chart of a preferred embodiment of the full data processing method of the present invention;

[0047] Figure 2 It is a schematic diagram of the principle of a preferred embodiment of the full data processing system of the present invention;

[0048] Figure 3 Schematic diagram of the operating environment of a preferred embodiment of the controller of the present invention. DETAILED DESCRIPTION

[0049] In order to make the purpose, technical solution and advantages of the present invention clearer and more specific, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0050] For existing pit bottom construction sites, the coordinated work between gantry cranes, electric vehicles (i.e. pit bottom electric vehicles) and shield machines is very complicated. There is data overlap between multiple gantry cranes, multiple electric vehicles and multiple shield machines. For example, two gantry cranes are connected to six electric vehicles, and the electric vehicle is connected to two shield machines, while the shield machine and the gantry crane cannot be directly connected. There are 72 types of data overlap between these devices. When the data is reported to the cloud, the corresponding parameter statistical table needs to be output manually, so it is very difficult to manage the data.

[0051] The full data processing method described in the preferred embodiment of the present invention is as follows: Figure 1 As shown, the full data processing method includes the following steps:

[0052] Step S10, acquiring multiple gantry crane data sent by the gantry crane system, multiple shield machine data sent by the shield machine system, and multiple electric vehicle data sent by the electric vehicle system.

[0053] Specifically, through a customized operating system, a connection is established with the gantry crane system, the shield system and the electric vehicle system; and through the customized operating system, multiple gantry crane data sent by the gantry crane system, multiple shield machine data sent by the shield system and multiple electric vehicle data sent by the electric vehicle system are obtained.

[0054] Before acquiring data, it is necessary to establish connections with the gantry crane system, shield system and electric vehicle system, including but not limited to these, through a custom operating system; this will enable direct connection between different systems, and at the same time, it is necessary to establish connections between different devices of the same type through a custom operating system, and open up data connections between multiple devices of the same type, so as to obtain more comprehensive data, establish connections between all devices, and solve the problem of data barriers between devices.

[0055] Furthermore, the gantry crane system is responsible for obtaining the gantry crane data of all gantry cranes, the shield system is responsible for obtaining the shield data of all shield machines, and the electric vehicle system is responsible for obtaining the electric vehicle data of all electric vehicles at the bottom of the pit. This can avoid data confusion between different types of equipment, and at the same time, it can connect equipment of the same type, improve the data quality between all equipment, and thus improve the efficiency of data management.

[0056] Step S20, input all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and output the gantry crane parameter statistics table, shield machine parameter statistics table, battery vehicle parameter statistics table and feedback instructions respectively.

[0057] Among them, according to the data obtained by each system, the same type of data is merged into a statistical table to facilitate data management.

[0058] Specifically, a data analysis model is constructed, and all the gantry crane data, all the shield machine data and all the battery vehicle data are input into the data analysis model; all the gantry crane data, all the shield machine data and all the battery vehicle data are analyzed respectively in the data analysis model to obtain gantry crane difference data between all the gantry crane data, shield machine difference data between all the shield machine data and battery vehicle difference data between all the battery vehicle data; all the gantry crane data and the gantry crane difference data, all the shield machine data and the shield difference data, and all the battery vehicle data and the battery vehicle difference data are adjusted to a preset format and merged. And, output the gantry crane parameter statistics table, the shield machine parameter statistics table and the battery vehicle parameter statistics table; input all the pre-stored multiple index data of each gantry crane, each shield machine and each battery vehicle into the data analysis model, wherein each index data respectively represents the functional data index that each gantry crane, each shield machine and each battery vehicle needs to achieve within a preset time; analyze all the index data in the data analysis model, generate feedback information, generate feedback instructions according to the feedback information and output them, wherein the feedback instructions are used to control the target functional data indicators that each gantry crane, each shield machine and each battery vehicle will achieve within the preset time.

[0059] Among them, after obtaining different types of data, different identifiers can be added to the different types of data, for example, adding a first identifier to all gantry crane data, adding a second identifier to all shield machine data, and adding a third identifier to all electric vehicle data, including but not limited to this; after all the currently acquired data are input into the constructed data analysis model, the same type of data are gathered and edited together according to different identifiers to obtain different statistical tables, such as gantry crane parameter statistical tables, shield machine parameter statistical tables, and electric vehicle parameter statistical tables.

[0060] Among them, before constructing the statistical table, all data needs to be adjusted to a unified preset format to facilitate users to observe the construction work according to the statistical table. After the data analysis model outputs the corresponding parameter statistical table, according to the pre-stored construction work indicators (multiple indicator data of each gantry crane, each shield machine and each battery car, that is, according to the construction work indicators, the indicator data that each device should achieve at the current time), it can be determined whether the current work progress of each device meets the standard, and feedback information is generated based on this, and feedback instructions are generated based on the feedback information, and then the feedback instructions are uploaded to each system (for example, the gantry crane system, shield system and battery car system) to control each device to perform site operations and avoid delays in the construction period.

[0061] Furthermore, all parameter statistics can be uploaded to the cloud for storage, saving cloud storage space, and provided for user reference through the display screen. The equipment can be controlled to perform corresponding tasks according to the control instructions entered by the administrator, helping the administrator to control the construction site operation status in real time and make timely adjustments, thereby improving the administrator's work efficiency.

[0062] Step S30, sending the feedback instructions to the gantry crane system, the shield system and the battery car system respectively, and receiving multiple feedback gantry crane data, multiple feedback shield data and multiple feedback battery car data sent by the gantry crane system, the shield system and the battery car system.

[0063] Specifically, through a customized operating system, feedback instructions are sent to the gantry crane system, the shield system and the electric vehicle system respectively; through a customized operating system, multiple feedback gantry crane data, multiple feedback shield machine data and multiple feedback electric vehicle data sent by the gantry crane system, the shield system and the electric vehicle system are received; wherein, the feedback gantry crane data is generated by the gantry crane system after controlling all gantry cranes according to the feedback instructions, the feedback shield machine data is generated by the shield system after controlling all shield machines according to the feedback instructions, and the feedback electric vehicle data is generated by the electric vehicle system after controlling all electric vehicles according to the feedback instructions.

[0064] Among them, after sending the feedback instructions or control instructions entered by the administrator to all systems and controlling each device to perform the corresponding tasks, the relevant data of each device is obtained again to understand the construction work status after adjustment in real time, strengthen the management of various equipment on the construction site, so as to prevent the occurrence of dangerous situations, improve the safety of the construction site, and at the same time improve construction efficiency.

[0065] Furthermore, the related data fed back (including feedback gantry crane data, feedback shield data and feedback battery vehicle data) also need to be adjusted to a unified preset format to facilitate data management.

[0066] Step S40, count all feedback gantry crane data, all feedback shield machine data and all feedback battery car data, generate target gantry crane parameter statistics table, target shield machine parameter statistics table and target battery car parameter statistics table respectively, fuse the gantry crane parameter statistics table, the target gantry crane parameter statistics table, the shield machine parameter statistics table, the target shield machine parameter statistics table, the battery car parameter statistics table and the target battery car parameter statistics table to obtain a fused data table.

[0067] Specifically, statistics are collected on all feedback gantry crane data, all feedback shield machine data and all feedback battery vehicle data to obtain target gantry crane joint data, target shield machine joint data and target battery vehicle joint data of all the gantry cranes, all the shield machines and all the battery vehicles; the target gantry crane joint data, the target shield machine joint data and the target battery vehicle joint data are input into the data analysis model, and a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery vehicle parameter statistical table are output; a fusion model is constructed, and the gantry crane parameter statistical table and the target gantry crane parameter statistical table, the shield machine parameter statistical table and the target shield machine parameter statistical table, and the battery vehicle parameter statistical table and the target battery vehicle parameter statistical table are input into the fusion model respectively, and a gantry crane parameter fusion table, a shield machine parameter fusion table and a battery vehicle parameter fusion table are output; the gantry crane parameter fusion table, the shield machine parameter fusion table and the battery vehicle parameter fusion table are input into the fusion model, and a fusion data table is output.

[0068] Among them, all the feedback gantry crane data, feedback shield machine data and feedback battery car data are counted again to obtain the target gantry crane joint data, target shield machine joint data and target battery car joint data respectively, and input them into the data analysis model, and output the target gantry crane parameter statistics table, target shield machine parameter statistics table and target battery car parameter statistics table respectively, so as to obtain the current construction status of each equipment. For example, according to the target gantry crane joint data on the target gantry crane parameter statistics table, the respective construction status of all gantry cranes and the operation coordination status between all gantry cranes can be determined, whether there are still some gantry cranes that have not completed the construction work, etc. The target gantry crane parameter statistics table, the battery car parameter statistics table and the target battery car parameter statistics table can be uploaded to the cloud for storage, and can be provided to the administrator for inspection through the display screen to understand the current construction progress. In addition, the gantry crane parameter statistics table and the target gantry crane parameter statistics table are input into the fusion model, the shield machine parameter statistics table and the target shield machine parameter statistics table are input into the fusion model, and the battery car parameter statistics table and the target battery car parameter statistics table are input into the fusion model, and the gantry crane parameter fusion table, the shield machine parameter fusion table and the battery car parameter fusion table are output respectively, so as to obtain the construction status of the same equipment after the feedback instruction or control instruction is adjusted, and then the gantry crane parameter fusion table, the shield machine parameter fusion table and the battery car parameter fusion table are input into the fusion model, and the data between different types of equipment are analyzed and fused to determine the operation coordination status between different types of equipment, and output the fusion data table. Through this step, not only the construction status between different equipment of the same type can be understood, but also the construction status of the same equipment after adjustment can be understood, so as to judge whether the feedback instruction or control instruction is accurate, and the relevant data generated by different types of equipment can be combined to improve the relevance of the data. The automatic generation of data tables is also conducive to improving the work efficiency of administrators, avoiding the occurrence of omissions and errors that are easy to occur in manual filling, and improving data quality.

[0069] Step S50: Generate construction site feedback data based on the fused data table and pre-stored construction operation information.

[0070] Specifically, based on all the data in the pre-stored construction work information, the functional data indicators that need to be achieved by each gantry crane, each shield machine and each electric vehicle within a preset time are extracted; all the functional data indicators are added to the corresponding positions of the fusion data table to obtain the construction site feedback data; wherein the corresponding positions represent the positions of the target gantry crane parameter statistics table, the target shield machine parameter statistics table and the target electric vehicle parameter statistics table.

[0071] Among them, when the construction is completed, the generated fusion data table can be used to compare with the pre-stored construction operation information to determine whether the automatically generated feedback instructions are appropriate. At the same time, it can also help the administrator understand the situation of the entire construction operation. When an abnormal situation occurs, it can promptly understand which step or which equipment has a problem, thereby reducing the administrator's workload.

[0072] Furthermore, a construction site feedback instruction is generated based on the construction site feedback data; the construction site feedback instruction is sent to the gantry crane system, the shield system and the electric vehicle system respectively, so as to control the gantry crane system, the shield system and the electric vehicle system to control all the gantry cranes, all the shield machines and all the electric vehicles respectively according to the construction site feedback instruction.

[0073] Among them, if the currently completed construction work still needs to be adjusted, the corresponding equipment can be controlled to make adjustments based on the site feedback instructions generated by the site feedback data.

[0074] Furthermore, the fused data table and site feedback data can be input into the data analysis model for training to improve the data analysis capabilities and thus improve the quality of construction work.

[0075] The present invention combines the data between multiple devices of the same type through a customized operating system, and merges the data of multiple combined devices of different types, ultimately realizing the data space association between equipment on the construction site, solving the problems of serious data barriers between devices and difficulty in data management, thereby providing convenience for users to manage multiple data, improving the efficiency of data statistics, simplifying the control and application of data quality, and significantly improving the efficiency of site operations.

[0076] Furthermore, if Figure 2 As shown, based on the above-mentioned full data processing method, the present invention also provides a full data processing system accordingly, wherein the full data processing system includes:

[0077] The data acquisition module 51 is used to acquire a plurality of gantry crane data sent by the gantry crane system, a plurality of shield machine data sent by the shield machine system, and a plurality of battery vehicle data sent by the battery vehicle system;

[0078] The instruction generation module 52 is used to input all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and output the gantry crane parameter statistics table, the shield machine parameter statistics table, the battery vehicle parameter statistics table and feedback instructions respectively;

[0079] A feedback data acquisition module 53 is used to send the feedback instruction to the gantry crane system, the shield system and the battery car system respectively, and receive multiple feedback gantry crane data, multiple feedback shield data and multiple feedback battery car data sent by the gantry crane system, the shield system and the battery car system;

[0080] The data fusion module 54 is used to count all the feedback gantry crane data, all the feedback shield machine data and all the feedback battery car data, and respectively generate a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery car parameter statistical table, and fuse the gantry crane parameter statistical table, the target gantry crane parameter statistical table, the shield machine parameter statistical table, the target shield machine parameter statistical table, the battery car parameter statistical table and the target battery car parameter statistical table to obtain a fused data table;

[0081] The construction site data feedback module 55 is used to generate construction site feedback data according to the fused data table and pre-stored construction operation information.

[0082] Furthermore, if Figure 3 As shown, based on the above-mentioned full data processing method and system, the present invention also provides a controller accordingly, and the controller includes a processor 10, a memory 20 and a display 30. Figure 3 Only some of the components of the controller are shown, but it should be understood that implementation of all of the components shown is not required, and more or fewer components may be implemented instead.

[0083] The memory 20 may be an internal storage unit of the controller in some embodiments, such as a hard disk or memory of the controller. The memory 20 may also be an external storage device of the controller in other embodiments, such as a plug-in hard disk, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. equipped on the controller. Furthermore, the memory 20 may also include both an internal storage unit of the controller and an external storage device. The memory 20 is used to store application software and various types of data installed in the controller, such as the program code of the installed controller. The memory 20 may also be used to temporarily store data that has been output or is to be output. In one embodiment, a full data processing program 40 is stored on the memory 20, and the full data processing program 40 can be executed by the processor 10, thereby realizing the full data processing method in the present application.

[0084] In some embodiments, the processor 10 may be a central processing unit (CPU), a microprocessor or other data processing chip, used to run the program code or process data stored in the memory 20, such as executing the full data processing method.

[0085] In some embodiments, the display 30 may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, an OLED (Organic Light-Emitting Diode) touch device, etc. The display 30 is used to display information on the controller and to display a visual user interface. The components 10-30 of the controller communicate with each other via a system bus.

[0086] In one embodiment, when the processor 10 executes the full data processing program 40 in the memory 20, the following steps are implemented:

[0087] Acquire multiple gantry crane data sent by the gantry crane system, multiple shield machine data sent by the shield machine system, and multiple battery car data sent by the battery car system;

[0088] Input all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and output the gantry crane parameter statistics table, shield machine parameter statistics table, battery vehicle parameter statistics table and feedback instructions respectively;

[0089] Send the feedback instructions to the gantry crane system, the shield system and the battery car system respectively, and receive multiple feedback gantry crane data, multiple feedback shield data and multiple feedback battery car data sent by the gantry crane system, the shield system and the battery car system;

[0090] Count all feedback gantry crane data, all feedback shield machine data and all feedback battery car data, respectively generate a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery car parameter statistical table, fuse the gantry crane parameter statistical table, the target gantry crane parameter statistical table, the shield machine parameter statistical table, the target shield machine parameter statistical table, the battery car parameter statistical table and the target battery car parameter statistical table to obtain a fused data table;

[0091] The construction site feedback data is generated according to the fused data table and the pre-stored construction operation information.

[0092] The acquiring of a plurality of gantry crane data sent by the gantry crane system, a plurality of shield machine data sent by the shield machine system, and a plurality of battery vehicle data sent by the battery vehicle system specifically includes:

[0093] Establishing connections with the portal crane system, the shield system, and the battery vehicle system through a customized operating system;

[0094] The customized operating system is used to obtain a plurality of portal crane data sent by the portal crane system, a plurality of shield machine data sent by the shield machine system, and a plurality of electric vehicle data sent by the electric vehicle system.

[0095] Wherein, all the gantry crane data, all the shield machine data and all the battery vehicle data are input into the constructed data analysis model, and the gantry crane parameter statistics table, shield machine parameter statistics table, battery vehicle parameter statistics table and feedback instructions are output respectively, specifically including:

[0096] Constructing a data analysis model, inputting all the gantry crane data, all the shield machine data and all the battery vehicle data into the data analysis model;

[0097] In the data analysis model, all the gantry crane data, all the shield machine data and all the battery vehicle data are analyzed respectively to obtain gantry crane difference data between all the gantry crane data, shield machine difference data between all the shield machine data and battery vehicle difference data between all the battery vehicle data;

[0098] Respectively adjust all the gantry crane data and the gantry crane difference data, all the shield machine data and the shield machine difference data, and all the battery vehicle data and the battery vehicle difference data into a preset format and merge them, and output the gantry crane parameter statistics table, the shield machine parameter statistics table, and the battery vehicle parameter statistics table;

[0099] Input all the pre-stored multiple index data of each gantry crane, each shield machine and each battery vehicle into the data analysis model, wherein each index data respectively represents the functional data index that each gantry crane, each shield machine and each battery vehicle needs to achieve within a preset time;

[0100] All the indicator data are analyzed in the data analysis model to generate feedback information, and feedback instructions are generated and output based on the feedback information, wherein the feedback instructions are used to control the target functional data indicators to be achieved by each gantry crane, each shield machine and each electric vehicle within the preset time.

[0101] The step of sending the feedback instruction to the gantry crane system, the shield system and the battery car system respectively, and receiving a plurality of feedback gantry crane data, a plurality of feedback shield data and a plurality of feedback battery car data sent by the gantry crane system, the shield system and the battery car system specifically includes:

[0102] Through a custom operating system, feedback instructions are sent to the portal crane system, the shield system, and the battery vehicle system respectively;

[0103] Receiving, through a custom operating system, a plurality of feedback gantry crane data, a plurality of feedback shield machine data and a plurality of feedback battery vehicle data sent by the gantry crane system, the shield machine system and the battery vehicle system;

[0104] Among them, the feedback gantry crane data is generated by the gantry crane system after controlling all gantry cranes according to the feedback instructions, the feedback shield machine data is generated by the shield machine system after controlling all shield machines according to the feedback instructions, and the feedback electric vehicle data is generated by the electric vehicle system after controlling all electric vehicles according to the feedback instructions.

[0105] Among them, the statistics of all feedback gantry crane data, all feedback shield machine data and all feedback battery car data are respectively generated to generate a target gantry crane parameter statistics table, a target shield machine parameter statistics table and a target battery car parameter statistics table, and the gantry crane parameter statistics table, the target gantry crane parameter statistics table, the shield machine parameter statistics table, the target shield machine parameter statistics table, the battery car parameter statistics table and the target battery car parameter statistics table are fused to obtain a fused data table, which specifically includes:

[0106] Count all feedback gantry crane data, all feedback shield machine data and all feedback battery vehicle data to obtain target gantry crane joint data, target shield machine joint data and target battery vehicle joint data of all the gantry cranes, all the shield machines and all the battery vehicles;

[0107] Input the target gantry crane joint data, the target shield machine joint data and the target battery vehicle joint data into the data analysis model, and output a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery vehicle parameter statistical table;

[0108] Constructing a fusion model, inputting the portal crane parameter statistics table and the target portal crane parameter statistics table, the shield machine parameter statistics table and the target shield machine parameter statistics table, and the battery vehicle parameter statistics table and the target battery vehicle parameter statistics table into the fusion model respectively, and outputting a portal crane parameter fusion table, a shield machine parameter fusion table, and a battery vehicle parameter fusion table;

[0109] The portal crane parameter fusion table, the shield machine parameter fusion table and the battery vehicle parameter fusion table are input into the fusion model, and a fusion data table is output.

[0110] The generating of the construction site feedback data according to the fused data table and the pre-stored construction operation information specifically includes:

[0111] Extracting the functional data indicators that each gantry crane, each shield machine and each battery vehicle needs to achieve within a preset time based on all the data in the pre-stored construction operation information;

[0112] Add all the functional data indicators to the corresponding positions of the fusion data table to obtain the construction site feedback data;

[0113] Among them, the corresponding position represents the position of the target gantry crane parameter statistics table, the target shield machine parameter statistics table and the target electric vehicle parameter statistics table.

[0114] The step of adding all the functional data indicators to corresponding positions of the fusion data table to obtain the construction site feedback data further includes:

[0115] generating a construction site feedback instruction according to the construction site feedback data;

[0116] The construction site feedback instructions are sent to the gantry crane system, the shield system and the battery vehicle system respectively, so as to control the gantry crane system, the shield system and the battery vehicle system to control all the gantry cranes, all the shield machines and all the battery vehicles respectively according to the construction site feedback instructions.

[0117] The present invention also provides a computer-readable storage medium, wherein the computer-readable storage medium stores a full data processing program, and when the full data processing program is executed by a processor, the steps of the full data processing method as described above are implemented.

[0118] In summary, the present invention provides a full data processing method and related equipment, the method comprising: acquiring a plurality of gantry crane data sent by a gantry crane system, a plurality of shield machine data sent by a shield machine system and a plurality of electric vehicle data sent by an electric vehicle system; inputting all of the gantry crane data, all of the shield machine data and all of the electric vehicle data into a constructed data analysis model, and outputting a gantry crane parameter statistics table, a shield machine parameter statistics table, an electric vehicle parameter statistics table and feedback instructions respectively; sending the feedback instructions to the gantry crane system, the shield machine system and the electric vehicle system respectively, and receiving the feedback instructions from the gantry crane system, the shield machine system and the electric vehicle system. The system sends multiple feedback gantry crane data, multiple feedback shield machine data, and multiple feedback battery car data; all feedback gantry crane data, all feedback shield machine data, and all feedback battery car data are counted, and a target gantry crane parameter statistical table, a target shield machine parameter statistical table, and a target battery car parameter statistical table are generated respectively, and the gantry crane parameter statistical table, the target gantry crane parameter statistical table, the shield machine parameter statistical table, the target shield machine parameter statistical table, the battery car parameter statistical table, and the target battery car parameter statistical table are fused to obtain a fused data table; according to the fused data table and the pre-stored construction operation information, a construction site feedback number is generated. The present invention combines the data between multiple devices of the same type through a customized operating system, and fuses the data of multiple joint devices of different types, and finally realizes the data space association between the equipment in the construction site, solves the problem of serious data barriers between equipment and difficult data management, and then provides convenience for users to manage multiple data, improves the efficiency of data statistics, simplifies the control and application of data quality, and significantly improves the efficiency of construction site operations.

[0119] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or controller including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or controller. In the absence of more restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or controller including the element.

[0120] Of course, those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the program can be stored in a computer-readable storage medium that can be read by a computer, and the program can include the processes of the above-mentioned method embodiments when executed. The computer-readable storage medium can be a memory, a disk, an optical disk, etc.

[0121] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A method for processing full data, characterized in that: The full data processing method comprises: Acquire multiple gantry crane data sent by the gantry crane system, multiple shield machine data sent by the shield machine system, and multiple battery car data sent by the battery car system; Input all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and output the gantry crane parameter statistics table, shield machine parameter statistics table, battery vehicle parameter statistics table and feedback instructions respectively; Send the feedback instructions to the gantry crane system, the shield system and the battery car system respectively, and receive multiple feedback gantry crane data, multiple feedback shield data and multiple feedback battery car data sent by the gantry crane system, the shield system and the battery car system; Count all feedback gantry crane data, all feedback shield machine data and all feedback battery car data, respectively generate a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery car parameter statistical table, fuse the gantry crane parameter statistical table, the target gantry crane parameter statistical table, the shield machine parameter statistical table, the target shield machine parameter statistical table, the battery car parameter statistical table and the target battery car parameter statistical table to obtain a fused data table; The construction site feedback data is generated according to the fused data table and the pre-stored construction operation information.

2. The method for processing full data according to claim 1, characterized in that: The acquiring of a plurality of gantry crane data sent by the gantry crane system, a plurality of shield machine data sent by the shield machine system, and a plurality of battery vehicle data sent by the battery vehicle system specifically includes: Establishing connections with the portal crane system, the shield system, and the battery vehicle system through a customized operating system; The customized operating system is used to obtain a plurality of portal crane data sent by the portal crane system, a plurality of shield machine data sent by the shield machine system, and a plurality of electric vehicle data sent by the electric vehicle system.

3. The method for processing full data according to claim 1, characterized in that: The method includes inputting all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and outputting a gantry crane parameter statistics table, a shield machine parameter statistics table, a battery vehicle parameter statistics table and feedback instructions respectively. Specifically, it includes: Constructing a data analysis model, inputting all the gantry crane data, all the shield machine data and all the battery vehicle data into the data analysis model; In the data analysis model, all the gantry crane data, all the shield machine data and all the battery vehicle data are analyzed respectively to obtain gantry crane difference data between all the gantry crane data, shield machine difference data between all the shield machine data and battery vehicle difference data between all the battery vehicle data; Respectively adjust all the gantry crane data and the gantry crane difference data, all the shield machine data and the shield machine difference data, and all the battery vehicle data and the battery vehicle difference data into a preset format and merge them, and output the gantry crane parameter statistics table, the shield machine parameter statistics table, and the battery vehicle parameter statistics table; Input all the pre-stored multiple index data of each gantry crane, each shield machine and each battery vehicle into the data analysis model, wherein each index data respectively represents the functional data index that each gantry crane, each shield machine and each battery vehicle needs to achieve within a preset time; All the indicator data are analyzed in the data analysis model to generate feedback information, and feedback instructions are generated and output based on the feedback information, wherein the feedback instructions are used to control the target functional data indicators to be achieved by each gantry crane, each shield machine and each electric vehicle within the preset time.

4. The method for processing full data according to claim 3, characterized in that: The step of sending the feedback instruction to the gantry crane system, the shield system and the battery car system respectively, and receiving a plurality of feedback gantry crane data, a plurality of feedback shield data and a plurality of feedback battery car data sent by the gantry crane system, the shield system and the battery car system specifically includes: Through a custom operating system, feedback instructions are sent to the portal crane system, the shield system, and the battery vehicle system respectively; Receiving, through a custom operating system, a plurality of feedback gantry crane data, a plurality of feedback shield machine data and a plurality of feedback battery vehicle data sent by the gantry crane system, the shield machine system and the battery vehicle system; Among them, the feedback gantry crane data is generated by the gantry crane system after controlling all gantry cranes according to the feedback instructions, the feedback shield machine data is generated by the shield machine system after controlling all shield machines according to the feedback instructions, and the feedback electric vehicle data is generated by the electric vehicle system after controlling all electric vehicles according to the feedback instructions.

5. The method for processing full data according to claim 4, characterized in that: The method comprises the following steps: the statistics of all feedback gantry crane data, all feedback shield machine data and all feedback battery vehicle data are respectively generated to generate a target gantry crane parameter statistics table, a target shield machine parameter statistics table and a target battery vehicle parameter statistics table; the gantry crane parameter statistics table, the target gantry crane parameter statistics table, the shield machine parameter statistics table, the target shield machine parameter statistics table, the battery vehicle parameter statistics table and the target battery vehicle parameter statistics table are fused to obtain a fused data table, which specifically includes: Count all feedback gantry crane data, all feedback shield machine data and all feedback battery vehicle data to obtain target gantry crane joint data, target shield machine joint data and target battery vehicle joint data of all the gantry cranes, all the shield machines and all the battery vehicles; Input the target gantry crane joint data, the target shield machine joint data and the target battery vehicle joint data into the data analysis model, and output a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery vehicle parameter statistical table; Constructing a fusion model, inputting the portal crane parameter statistics table and the target portal crane parameter statistics table, the shield machine parameter statistics table and the target shield machine parameter statistics table, and the battery vehicle parameter statistics table and the target battery vehicle parameter statistics table into the fusion model respectively, and outputting a portal crane parameter fusion table, a shield machine parameter fusion table, and a battery vehicle parameter fusion table; The portal crane parameter fusion table, the shield machine parameter fusion table and the battery vehicle parameter fusion table are input into the fusion model, and a fusion data table is output.

6. The method for processing full data according to claim 3, characterized in that: The generating of the construction site feedback data according to the fused data table and the pre-stored construction operation information specifically includes: Extracting the functional data indicators that each gantry crane, each shield machine and each battery vehicle needs to achieve within a preset time based on all the data in the pre-stored construction operation information; Add all the functional data indicators to the corresponding positions of the fusion data table to obtain the construction site feedback data; Among them, the corresponding position represents the position of the target gantry crane parameter statistics table, the target shield machine parameter statistics table and the target electric vehicle parameter statistics table.

7. The method for processing full data according to claim 6, characterized in that: The step of adding all the functional data indicators to the corresponding positions of the fusion data table to obtain the construction site feedback data further includes: generating a construction site feedback instruction according to the construction site feedback data; The construction site feedback instructions are sent to the gantry crane system, the shield system and the battery vehicle system respectively, so as to control the gantry crane system, the shield system and the battery vehicle system to control all the gantry cranes, all the shield machines and all the battery vehicles respectively according to the construction site feedback instructions.

8. A full data processing system, characterized in that: The full data processing system comprises: A data acquisition module, used to acquire multiple gantry crane data sent by the gantry crane system, multiple shield machine data sent by the shield machine system, and multiple battery car data sent by the battery car system; An instruction generation module is used to input all the gantry crane data, all the shield machine data and all the battery vehicle data into the constructed data analysis model, and output a gantry crane parameter statistics table, a shield machine parameter statistics table, a battery vehicle parameter statistics table and feedback instructions respectively; A feedback data acquisition module, used to send the feedback instruction to the gantry crane system, the shield system and the battery car system respectively, and receive multiple feedback gantry crane data, multiple feedback shield data and multiple feedback battery car data sent by the gantry crane system, the shield system and the battery car system; A data fusion module is used to count all feedback gantry crane data, all feedback shield machine data and all feedback battery car data, and respectively generate a target gantry crane parameter statistical table, a target shield machine parameter statistical table and a target battery car parameter statistical table, and fuse the gantry crane parameter statistical table, the target gantry crane parameter statistical table, the shield machine parameter statistical table, the target shield machine parameter statistical table, the battery car parameter statistical table and the target battery car parameter statistical table to obtain a fused data table; The construction site data feedback module is used to generate construction site feedback data according to the fused data table and pre-stored construction operation information.

9. A controller, characterized in that: The controller includes: a memory, a processor, and a full data processing program stored in the memory and executable on the processor. When the full data processing program is executed by the processor, the steps of the full data processing method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a full data processing program, and when the full data processing program is executed by a processor, the steps of the full data processing method according to any one of claims 1 to 7 are implemented.

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