Remote supervision method and system for construction process of stiff mixing pile

Abstract

The invention relates to the technical field of intelligent supervision of building construction, and provides a remote supervision method and system for the construction process of a stiff mixing pile, and the method comprises the following steps: collecting the operation state information of equipment in real time through a built-in sensor; after terminal data processing is carried out on the running state information, the running state information is sent to a cloud server through a wireless network; analyzing and preprocessing the received data result through the cloud server; analyzing the analyzed data in real time by using a preset algorithm, extracting data information related to the construction action, and converting the data information into real-time rendering data; and analyzing the data through animation rendering software, and updating the state and animation of the 3D model according to the analyzed data. According to the invention, dynamic perception and state monitoring of the whole construction process are realized, and the safety management level and the operation efficiency of a construction site are improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent monitoring technology for building construction, and in particular to a remote monitoring method and system for the construction process of rigid mixing piles. Background Technology

[0002] As a foundation reinforcement technology, rigid mixing piles form composite piles through a combination of rotary mixing and grouting processes using drilling tools. They are widely used in engineering applications such as soft soil foundation treatment and deep foundation pit support. The construction quality is affected by multiple factors, including the standardization of drilling operations, the accuracy of grouting volume, and adaptability to the geological formation, requiring high-precision dynamic control of construction parameters.

[0003] In current reinforced concrete mixing pile construction, the traditional supervision model mainly relies on manual inspections and simple paper records. This method has significant shortcomings when dealing with complex process requirements and precise quality control. The core problem lies in the inability to perceive and record the key action status and core construction parameters of the pile driver and drilling tools in real time, objectively, and completely. Specifically, the process actions are "blindly observed" throughout, as manual observation of key process actions performed by the drill rod underground is impossible, such as downward jetting and mixing, upward jetting and mixing, bottom-stabilizing jetting and mixing, bottom-expanding jetting and mixing, diameter-expanding jetting and mixing, and diameter-expanding or bottom-expanding opening. Whether these actions are performed properly, at the correct timing, and within the scope of design requirements cannot be verified at all. The measurement of core parameters is "fuzzy," with inaccurate depth measurement. It is difficult to accurately and continuously record the real-time penetration depth of the drill rod (in meters) manually, especially in complex strata or deep pile construction, which is prone to errors. Cement quantity control is crude: Real-time measurement and recording of grouting volume (cement grout or curing agent dosage) relies on manual estimation or simple flow meter readings, lacking accurate and continuous automatic recording. This easily leads to actual usage deviating from design requirements (too much results in waste, too little affects pile strength). Process quality is "uncontrollable": Due to the inability to perceive key actions and precise parameters, construction quality (such as pile diameter, enlarged head size, mixing uniformity, and pile continuity) can only be judged retrospectively through final inspections (such as core sampling and static load tests), making it impossible to intervene and correct deviations in a timely manner during the process. Summary of the Invention

[0004] This invention provides a remote monitoring method and system for the construction process of rigid mixing piles, which solves the inefficiency and lag caused by the complete reliance on manpower in the construction pile driving process in the prior art. It realizes dynamic perception and status monitoring of the entire construction process, and improves the safety management level and operational efficiency of the construction site.

[0005] This invention provides a remote monitoring method for the construction process of rigid mixing piles, comprising the following steps: The device's operating status information is collected in real time through built-in sensors; After the terminal data is processed, the operating status information is sent to the cloud server via wireless network; The received data results are parsed and preprocessed through a cloud server; The pre-set algorithm is used to analyze the parsed data in real time, extract data information related to construction actions, and convert it into real-time rendering data; The data is analyzed using animation rendering software, and the state and animation of the 3D model are updated based on the analyzed data.

[0006] According to the present invention, a remote monitoring method for the construction process of rigid mixing piles is provided, which determines the current operating status of the equipment by analyzing the field information reported by the sensors.

[0007] According to the remote monitoring method for the construction process of rigid mixing piles provided by the present invention, if the current state is in the bottom-settling and mixing state, the bottom-settling and mixing flag in the entity object is set to open. If the current state is under bottom expansion and agitation, then set the bottom expansion and agitation flag in the entity object to enabled; If the current state is one of bottom expansion and agitation, then it will be included in the expansion action set for recording.

[0008] According to the present invention, a remote monitoring method for the construction process of rigid mixing piles is provided, which uses an array structure to store the start and end depth information of the jet mixing and diameter expansion actions respectively.

[0009] According to the present invention, a remote monitoring method for the construction process of rigid mixing piles is provided, wherein the built-in sensors include a depth sensor, an action signal sensor, and a cement quantity sensor, wherein the depth sensor is used to detect the position and depth when each action signal is generated, the action signal sensor is used to detect the current execution action of the equipment, and the cement quantity sensor is used to detect the current remaining amount of cement in real time.

[0010] According to the present invention, a remote monitoring method for the construction process of rigid mixing piles is provided. The data information related to the construction actions includes downward jetting and mixing, upward jetting and mixing, bottom jetting and mixing, bottom-expanding jetting and mixing, diameter-expanding jetting and mixing, and the operation of diameter-expanding or bottom-expanding opening, and the corresponding occurrence depth, duration and cement usage of the actions.

[0011] According to the present invention, a remote monitoring method for the construction process of rigid mixing piles is provided, which records the initial remaining amount of cement corresponding to the pile number and calculates the current cement usage in real time each time an action occurs.

[0012] According to the present invention, a remote monitoring method for the construction process of rigid mixing piles is provided, wherein the rendering data includes hole depth, hole diameter, drill bit position, drill bit status, cement start position, cement end position, diameter expansion start position, and diameter expansion end position.

[0013] According to the remote monitoring method for the construction process of rigid mixing piles provided by the present invention, all action states and data are stored in entity objects and finally serialized and written into database fields.

[0014] This invention also provides a remote monitoring system for the construction process of stiffened mixing piles. The remote monitoring system is used to implement the remote monitoring method for the construction process of stiffened mixing piles as described above. The remote monitoring system for the construction process of stiffened mixing piles includes: The data acquisition module is used to collect real-time equipment operating status information through built-in sensors; The data transmission module is used to send the operating status information to the cloud server via a wireless network after the terminal data is processed. The data parsing and processing module is used to parse and preprocess the received data results through the cloud server; The motion detection module is used to analyze the parsed data in real time using a preset algorithm, extract data information related to construction actions, and convert it into real-time rendering data. The animation rendering module is used to parse data using animation rendering software and update the state and animation of the 3D model based on the parsed data.

[0015] This invention provides a remote monitoring method and system for the construction process of rigid mixing piles. It collects real-time equipment operating status information through built-in sensors and transmits the processed data to a cloud server via a wireless network. This ensures continuous and real-time acquisition of key parameters during construction, enabling supervisors to monitor the real-time operating status of the construction equipment and achieve dynamic perception of the construction process. The cloud server parses and preprocesses the received data, and uses a preset algorithm to analyze the parsed data in real time, extracting data information related to construction actions. This allows the system to accurately identify various action states during construction, such as the start and end depths, durations, and cement usage of actions like jet mixing and diameter expansion. This achieves comprehensive monitoring of the construction status, ensuring the standardization and accuracy of the construction process. The entire process, from data acquisition to final 3D model status update, forms a complete data stream that reflects the real-time operating status and construction actions of the equipment, thus achieving dynamic perception and status monitoring of the entire construction process. In this way, automated data collection, transmission and analysis reduce human intervention and lower safety risks caused by human factors. At the same time, through real-time monitoring and analysis of construction actions and parameters, the system can provide construction personnel with precise operation guidance, ensuring that the construction process is carried out strictly in accordance with design requirements, avoiding rework and delays caused by non-standard operation or parameter deviation, and improving construction efficiency. Attached Figure Description

[0016] To more clearly illustrate the technical solutions in this invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of this invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0017] Figure 1 This is a flowchart illustrating the remote monitoring method for the construction process of rigid mixing piles provided by the present invention.

[0018] Figure 2 This is a schematic diagram of the motion detection module provided by the present invention.

[0019] Figure 3 This is a schematic diagram of 3D animation rendering provided by the present invention.

[0020] Figure 4 This is a schematic diagram of data transmission in the device provided by the present invention.

[0021] Figure 5 This is a schematic diagram of the structure of the electronic device provided by the present invention.

[0022] Figure label: 810, Processor; 820, Communication interface; 830, Memory; 840, Communication bus. Detailed Implementation

[0023] The embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and should not be construed as limiting the scope of the invention.

[0024] In the description of the embodiments of the present invention, it should be noted that the terms "center," "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," and "outer," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. They are only for the convenience of describing the embodiments of the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on the embodiments of the present invention. In addition, the terms "first," "second," and "third" are used for descriptive purposes only and should not be construed as indicating or implying relative importance.

[0025] In the description of the embodiments of the present invention, it should be noted that, unless otherwise explicitly specified and limited, the terms "connected" and "linked" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral connection; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium. Those skilled in the art can understand the specific meaning of the above terms in the embodiments of the present invention based on the specific circumstances.

[0026] In embodiments of the present invention, unless otherwise explicitly specified and limited, "above" or "below" the second feature can mean that the first feature is in direct contact with the second feature, or that the first feature is in indirect contact with the second feature through an intermediate medium. Furthermore, "above," "on top of," and "over" the second feature can mean that the first feature is directly above or diagonally above the second feature, or simply that the first feature is at a higher horizontal level than the second feature. "Below," "below," and "under" the second feature can mean that the first feature is directly below or diagonally below the second feature, or simply that the first feature is at a lower horizontal level than the second feature.

[0027] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0028] The following is combined Figures 1 to 4 The present invention provides a detailed description of a remote monitoring method and system for the construction process of rigid mixing piles through specific embodiments and application scenarios.

[0029] In embodiments of the present invention, such as Figure 1 As shown, "A remote monitoring method for the construction process of stiffening and mixing piles includes: Step S100: Collect equipment operating status information in real time through built-in sensors.

[0030] Understandably, during the construction of rigid mixing piles, built-in sensors are installed on key equipment components, such as drilling rigs and grouting pumps. These sensors continuously and uninterruptedly capture equipment operating status information, such as the rotation speed of the drill rod, the depth of penetration, and the flow rate and pressure of the grouting pump. This real-time data acquisition method ensures that every key action and parameter during construction is accurately recorded, avoiding omissions and delays that may occur during manual inspections, and providing fundamental data support for dynamically sensing the entire construction process.

[0031] Step S200: After the terminal data is processed, the running status information is sent to the cloud server via wireless network.

[0032] Understandably, the terminal data processing performs preliminary sorting and verification of the collected raw data, removing noise and erroneous data to ensure the accuracy and integrity of the data. Subsequently, the processed data is quickly and stably transmitted to the cloud server via a wireless network. The use of wireless networks breaks down geographical limitations, enabling data from the construction site to be transmitted to the remote monitoring center in real time, achieving remote sharing of construction information and providing the possibility for centralized, real-time status monitoring of the entire construction process.

[0033] Step S300: The received data results are parsed and preprocessed through the cloud server.

[0034] Understandably, cloud servers possess powerful computing and storage capabilities, enabling them to perform in-depth analysis and preprocessing of large amounts of received data. They can identify patterns and trends in the data, classify and integrate different types of data, and provide structured and standardized data for subsequent analysis. This step further unlocks the value of the data, allowing for more accurate extraction of information related to construction actions, thereby providing a more comprehensive understanding of various state changes during the construction process.

[0035] Step S400: Analyze the parsed data in real time using a preset algorithm, extract data information related to construction actions, and convert it into real-time rendering data.

[0036] Understandably, the preset algorithm is meticulously designed based on the technological characteristics and quality control requirements of rigid mixing pile construction. By analyzing the parsed data in real time, the algorithm can accurately identify data information closely related to construction actions, such as whether the drilling rod's mixing action is in place and whether the grouting volume meets design requirements. Simultaneously, this data is transformed into real-time rendered data, providing a data foundation for subsequent visualization and enabling the construction process to be presented intuitively.

[0037] Step S500: Analyze the data using animation rendering software, and update the state and animation of the 3D model based on the analyzed data.

[0038] Understandably, animation rendering software combines real-time rendered data with pre-built 3D models, dynamically updating the 3D model's status and animation based on data changes. This allows supervisors to view 3D animations synchronized with the actual construction process on their monitoring terminals, intuitively understanding key information such as the drill rod's position, movement trajectory, and grouting status. This visualization method enables dynamic perception and status monitoring of the entire construction process, as if supervisors were personally witnessing every step of the construction on-site.

[0039] This application utilizes built-in sensors to collect real-time equipment operating status information and transmits the processed data to a cloud server via a wireless network. This ensures continuous and real-time acquisition of key parameters during construction, enabling supervisors to monitor the real-time operating status of construction equipment and achieving dynamic perception of the construction process. The cloud server parses and preprocesses the received data, and uses preset algorithms to analyze the parsed data in real time, extracting data information related to construction actions. This allows the system to accurately identify various action states during construction, such as the start and end depths, durations, and cement usage of actions like spraying and widening. This comprehensive monitoring of the construction status ensures the standardization and accuracy of the construction process. The entire process, from data acquisition to final 3D model status updates, forms a complete data stream that reflects the real-time operating status and construction actions of the equipment, thus achieving dynamic perception and status monitoring of the entire construction process. In this way, automated data collection, transmission and analysis reduce human intervention and lower safety risks caused by human factors. At the same time, through real-time monitoring and analysis of construction actions and parameters, the system can provide construction personnel with precise operation guidance, ensuring that the construction process is carried out strictly in accordance with design requirements, avoiding rework and delays caused by non-standard operation or parameter deviation, and improving construction efficiency.

[0040] Reference Figure 4 In one embodiment, the device data analysis module is primarily responsible for collecting, processing, and analyzing raw data from sensing and control devices. In current data-driven intelligent IoT systems, the device data analysis module is a core component for realizing device status awareness, remote management, and intelligent decision-making. This module spans the entire process from data acquisition at IoT terminals to data reception, processing, and analysis on the IoT cloud platform, forming a closed-loop data flow system.

[0041] Data collected by IoT terminals needs to be transmitted to the IoT cloud platform via communication links. Communication methods include 3G / 4G / 5G, with the choice primarily based on network coverage, power consumption requirements, and data transmission frequency for the application scenario. As the core hub for data processing, the IoT cloud platform undertakes multiple responsibilities, including device access, data reception, message routing, security authentication, and device management. It not only supports concurrent connections from massive numbers of devices but also provides persistent data storage, rule engines, and event triggering functions, providing a solid foundation for subsequent data analysis.

[0042] When the IoT cloud platform receives raw data from the terminal, it first performs data collection and preliminary analysis. This stage mainly includes: data decoding: converting binary encoding into structured fields according to a preset format; extracting data fields from the uploaded CAN message based on the module's configurable functions: identifying key information such as working hours, fuel consumption, cement signal indication, current, and voltage; anomaly detection: filtering invalid values ​​and identifying out-of-bounds data to improve the accuracy of subsequent analysis, providing a solid data foundation for subsequent motion detection and 3D animation rendering. These technologies can monitor the operating status of the environment or equipment in real time and transmit the data to the module in the form of digital signals. The data transmission process relies on defined internal IoT platform protocol documents, which ensure the efficiency, reliability, and security of data transmission. The parsed data is then pushed to the monitoring platform in real time for data analysis.

[0043] Reference Figure 2 In one specific embodiment, the motion detection module is a key component for the entire system to achieve intelligent control and data analysis. Its core function is to collect and analyze data from sensing and control devices to identify in real time various key motion states involved in the construction process, including but not limited to: downward spraying and mixing, upward spraying and mixing, bottom spraying and mixing, bottom-expanding spraying and mixing, diameter-expanding spraying and mixing, and diameter-expanding or bottom-expanding opening operations, and to record and update the depth, duration and cement usage of these actions.

[0044] In practical applications, the system analyzes the field information reported by the sensors to determine the current operating state of the device. For example, when the value of "bottom-holding spraying" is equal to 1, it indicates that the device is currently in the "bottom-holding spraying" state; when the value of the field "expanding-bottom spraying" is equal to 1, it indicates that the "expanding-bottom spraying" operation is in progress; and when the value of the field "expanding-diameter spraying" is 1, it is used to identify the occurrence of the expanding-diameter spraying action.

[0045] The specific identification logic is as follows: If "Bottom-holding spraying" exists and its value is "1", then the "Bottom-holding spraying" flag in the entity object is set to "on"; if "Bottom-expanding spraying" exists and its value is "1", then the bottom-expanding spraying flag is set to "on"; if "Bottom-expanding spraying" exists and its value is "1", then it is included in the diameter expansion action set for recording. Furthermore, the field "Diameter Expansion or Bottom Expansion Open" is used to determine whether the current state is diameter expansion or bottom expansion open, thereby further refining the time range of action occurrence. Action state transition determination: In the formula, q represents the current state, indicating different working modes during pile foundation construction; qidel represents the idle state; qjet represents the spraying and mixing state; qream represents the diameter expansion state; σ represents the input signal or condition, indicating the external triggering condition; δ represents the state transition function, determining the transition from one state to another under given conditions; δ_basement is the base spraying and mixing state flag, where a value of 1 indicates that base spraying and mixing is on, and 0 indicates that it is off. δ_diameter expansion is the diameter expansion spraying and mixing state flag, where a value of 1 indicates that diameter expansion spraying and mixing is on, and 0 indicates that it is off. γ_on is the flag indicating whether the spraying and mixing action is on, where a value of 1 indicates that the spraying and mixing action is enabled, and 0 indicates that it is not enabled; ∧ represents logical AND; ∨ represents logical OR.

[0046] To more accurately record the occurrence depth and duration of each action, the system uses an array structure to store the start and end depth information of the spraying and churning actions and the diameter expansion actions, respectively. For the spraying and churning action, when the next spraying and churning action begins, a new object is created to record the starting depth; in subsequent data, if the spraying and churning state is still in progress, the ending depth is continuously updated; if the spraying and churning state is turned off, recording of that segment of the spraying and churning action is stopped. Similarly, for the diameter expansion or bottom expansion action, the starting depth is recorded when an activation signal is detected, and the ending depth is continuously updated until the action is turned off, ultimately forming a complete action trajectory map. Construction entity data structure: In the formula, E represents the set of parameters describing the complete state of the pile formation process; dc is the current depth: indicating the current drilling or construction depth; dmax is the maximum current depth of the hole depth in historical data: indicating the maximum drilling depth in the historical records; Aj is the amount of cement used per meter; Ar is the amount of remaining curing agent used; Qtotal is the total amount of curing agent used: a complete record of curing agent usage data for a single pile. is the pile diameter, the diameter parameter of the pile.

[0047] Simultaneously, the system incorporates cement usage to assess construction quality. It caches the initial remaining cement amount corresponding to each station number and calculates the current cement usage in real-time each time an action occurs. The logical formula is: calculate the sum of the peak and trough differences for each cement usage time point to obtain the amount of cement consumed in this action, and record the result in the entity object. This mechanism not only enhances the visualization of the construction process but also provides a quantitative basis for subsequent construction quality assessment.

[0048] All action states and data are stored in an entity object and finally serialized before being written to database fields. This object contains the following core fields: current construction depth, maximum drilling depth, list of start and end depths for jet grouting, list of start and end depths for diameter enlargement, total amount of cement used in bottom / diameter enlargement, whether it is currently in diameter or bottom enlargement state, pile diameter information, etc., providing a reliable basis for subsequent construction quality assessment and process optimization.

[0049] This motion detection module is widely applicable to various pile foundation construction scenarios, such as mixing piles and static pressure piles. It can accurately identify complex construction actions and improve the visualization of the construction process. Its main technical advantages include: high real-time performance, supporting millisecond-level motion recognition and feedback; high accuracy, judging the motion status through multi-dimensional overall fusion; good data integrity, recording the start and end depths of the motion and the amount of cement used in detail; and strong scalability, supporting the addition of new motion types and protocol adaptation.

[0050] Reference Figure 3 In one specific embodiment, after receiving the equipment data, the monitoring platform processes the equipment data and converts it into rendering data in real time, including hole depth, hole diameter, drill bit position, drill bit status, cement start position, cement end position, diameter expansion start position, and diameter expansion technology position. On the smart terminal side, WebGL technology is used to render the construction scene in real time through the data processed by the monitoring platform, and the entire construction process is monitored.

[0051] The remote monitoring system for the construction process of rigid mixing piles provided by the present invention will be described below. The remote monitoring system for the construction process of rigid mixing piles described below can be referred to in correspondence with the remote monitoring method for the construction process of rigid mixing piles described above.

[0052] The remote monitoring system for the construction process of rigid mixing piles includes a data acquisition module, a data transmission module, a data parsing and processing module, an action detection module, and an animation rendering module. The data acquisition module is used to collect equipment operating status information in real time through built-in sensors; the data transmission module is used to send the operating status information to the cloud server via a wireless network after terminal data processing; the data parsing and processing module is used to parse and preprocess the received data results through the cloud server; the action detection module is used to analyze the parsed data in real time using a preset algorithm, extract data information related to construction actions, and convert it into real-time rendering data; the animation rendering module is used to parse the data through animation rendering software and update the status and animation of the 3D model according to the parsed data.

[0053] Figure 5 An example is a schematic diagram of the physical structure of an electronic device, such as... Figure 5As shown, the electronic device may include a processor 810, a communications interface 820, a memory 830, and a communication bus 840. The processor 810, communications interface 820, and memory 830 communicate with each other via the communication bus 840. The processor 810 can call logical instructions in the memory 830 to execute a remote monitoring method for the construction process of rigid mixing piles. This method includes: real-time acquisition of equipment operating status information through built-in sensors; transmission of the operating status information to a cloud server via a wireless network after terminal data processing; parsing and preprocessing the received data results on the cloud server; real-time analysis of the parsed data using a preset algorithm to extract data information related to construction actions and convert it into real-time rendering data; and parsing the data using animation rendering software and updating the state and animation of the 3D model based on the parsed data.

[0054] Furthermore, the logical instructions in the aforementioned memory 830 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0055] On the other hand, the present invention also provides a computer program product, which includes a computer program that can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute a remote monitoring method for the construction process of rigid mixing piles provided by the above methods. The method includes: collecting equipment operating status information in real time through built-in sensors; sending the operating status information to a cloud server via a wireless network after terminal data processing; parsing and preprocessing the received data results through the cloud server; performing real-time analysis on the parsed data using a preset algorithm to extract data information related to construction actions and convert it into real-time rendering data; and parsing the data through animation rendering software and updating the state and animation of the 3D model according to the parsed data.

[0056] In another aspect, the present invention also provides a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements a remote monitoring method for the construction process of rigid mixing piles provided by the methods described above. This method includes: collecting equipment operating status information in real time through built-in sensors; processing the operating status information via a terminal data processing unit and then sending it to a cloud server via a wireless network; parsing and preprocessing the received data results through the cloud server; performing real-time analysis of the parsed data using a preset algorithm to extract data information related to construction actions and converting it into real-time rendering data; and parsing the data using animation rendering software and updating the state and animation of the 3D model based on the parsed data.

[0057] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0058] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0059] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A remote supervision method for a construction process of a reinforced mixing pile, characterized by, Comprise the following steps: Real-time acquisition of equipment running state information through built-in sensors; After terminal data processing, the running state information is sent to the cloud server through the wireless network; The received data results are analyzed and preprocessed by the cloud server; Real-time analysis of the parsed data using a preset algorithm, extracting data information related to construction actions and converting it into real-time rendering data; Through animation rendering software, the data is parsed, and the state and animation of the 3D model are updated according to the parsed data.

2. The remote monitoring method for the construction process of the steel-stiffening mixing pile according to claim 1, characterized in that, By analyzing the field information reported by the sensor, the current action state of the device is determined.

3. The remote monitoring method for the construction process of the stiff mixing pile according to claim 2, characterized in that, If it is currently in the bottom-stuck spraying stirring state, set the bottom-stuck spraying stirring flag bit in the entity object to on; If it is currently in the bottom-expanding spraying stirring state, set the bottom-expanding spraying stirring flag bit in the entity object to on; If it is currently in the bottom-expanding spraying stirring state, it is included in the diameter-expanding action set for recording.

4. The remote monitoring method for the construction process of the stiff mixing pile according to claim 3, characterized in that, The start and end depth information of the spraying stirring and diameter-expanding actions are stored in an array structure.

5. The remote monitoring method for the construction process of the steel-stiffening mixing pile according to claim 1, characterized in that, The built-in sensor includes a depth sensor, an action signal sensor, and a cement consumption sensor, wherein the depth sensor is used to detect the position depth when each action signal is generated, the action signal sensor is used to detect the current execution action of the device, and the cement consumption sensor is used to detect the remaining amount of cement in real time.

6. The remote monitoring method for the construction process of the stiff mixing pile of claim 5, wherein, The data information related to the construction action includes downhole spraying stirring, uphole spraying stirring, bottom-stuck spraying stirring, bottom-expanding spraying stirring, diameter-expanding spraying stirring, and diameter-expanding or bottom-expanding opening operations, as well as the corresponding occurrence depth, duration, and cement usage.

7. The remote monitoring method for the construction process of the steel-stiffening mixing pile according to claim 5, characterized in that, The initial cement remaining amount corresponding to the pile number is recorded, and the current cement usage is calculated in real time each time an action occurs. 8.The remote monitoring method for the construction process of the steel-stirring pile according to claim 1, wherein, The rendering data includes hole depth, hole diameter, drill bit position, drill bit state, cement start position, cement end position, diameter-expanding start position, and diameter-expanding end position. 9.The remote monitoring method for the construction process of the steel-stirring pile according to claim 1, wherein, All action states and data are saved in the entity object and finally serialized and written into the database field.

10. A remote monitoring system for a construction process of a reinforced mixing pile, characterized in that, The remote monitoring system is used to implement the remote monitoring method for the stiff mixing pile construction process according to any one of claims 1 to 9, and the remote monitoring system for the stiff mixing pile construction process comprises: A data acquisition module for real-time acquisition of equipment running state information through built-in sensors; A data transmission module for sending running state information to the cloud server through the wireless network after terminal data processing; A data analysis processing module for analyzing and preprocessing the received data results by the cloud server; An action detection module for real-time analysis of the parsed data using a preset algorithm, extracting data information related to construction actions, and converting it into real-time rendering data; An animation rendering module for parsing data through animation rendering software and updating the state and animation of the 3D model according to the parsed data.

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