Intelligent micro maintenance system for concrete test block

Abstract

The application provides an intelligent micro-maintenance system for concrete test blocks, which comprises a drawer type storage cabinet, an intelligent transport robot and a maintenance subsystem, and the maintenance subsystem comprises: an intelligent control module, a three-dimensional modeling of the drawer type storage cabinet, real-time maintenance monitoring, calculation of target temperature parameters and target humidity parameters; an automatic digital recording module, which binds original information of the test blocks and automatically records process information; an intelligent transport module, which uses the intelligent transport robot to realize intelligent identification, safe grabbing, carrying and intelligent feeding of the test blocks; a remote supervision module, which realizes background data mapping and front-end visual display and calculates the best operation scheme of the equipment; and a credible traceability module, which constructs and chains a multi-primary key database table and an individual file of the whole process. The application can greatly improve the consistency of the maintenance environment, realize full-link unmanned management and digital recording, greatly reduce the burden of traditional manual work and the risk of misoperation, optimize the energy consumption of the equipment and reduce the cost.

Description

Technical Field

[0001] This invention relates to the field of concrete specimen curing technology, and in particular to an intelligent micro-curing system for concrete specimens. Background Technology

[0002] Concrete is currently the most widely used structural material in construction projects. Its quality directly determines the safety performance of the main structure and the entire building. The main quality indicator of concrete is "compressive strength." The conventional method involves preparing standard concrete specimens from the construction site, with dimensions of 150mm × 150mm × 150mm cubes. These specimens are then cured in a specified environment for a certain period. Finally, compressive strength tests are conducted using a pressure testing machine, and the compressive strength of the concrete is evaluated based on the test data.

[0003] In actual construction, concrete specimens are typically sampled and prepared at the construction site. According to technical specifications, these specimens must be cured in a standard curing environment with a temperature of 20±2℃ and a relative humidity of ≥95%. However, the conditions for standard concrete curing are quite stringent, and construction sites often lack the necessary resources. Furthermore, uncertainties at construction sites can easily lead to substandard curing environments and unsatisfactory curing results, making it impossible to obtain accurate test data and ultimately compromising project quality.

[0004] Currently, concrete specimens prepared on-site are transported to a large, sealed curing room at a professional testing institution within a specified timeframe, under the supervision of the project supervisor, for centralized standard curing and subsequent pressure testing. This large curing room is equipped with professional temperature and humidity control equipment to maintain the environmental temperature and humidity within the standard range. Large quantities of concrete specimens from different batches at various project sites are often co-existing in the same large curing room at a particular testing institution. Because the entry and exit times of different batches of concrete specimens from and from the large curing room are not synchronized, and manual handling is required, the sealed doors of the curing room need to be opened and closed frequently. This process alters the temperature and humidity within the large curing room, thereby disrupting the standard curing environment. This results in some concrete specimens not receiving the standard curing within the specified curing age, making it impossible to obtain accurate test data during the compressive strength test, thus affecting the accurate assessment of compressive strength. Furthermore, in existing technologies, concrete specimens, whether awaiting or already cured, are mostly sorted and handled manually. This process not only suffers from low automation and inefficiency but also often places a heavy workload on workers. Additionally, there is a risk of damaging the concrete specimens during handling. Therefore, it is urgent to improve the level of automation in all aspects of concrete specimen curing, transportation, and testing to ensure accurate acquisition of compressive strength test data and effectively reduce energy consumption and labor intensity during curing. Summary of the Invention

[0005] In order to overcome the shortcomings of the existing technology, the purpose of this invention is to provide an intelligent micro-curing system for concrete test blocks, which can significantly improve the consistency of the curing environment, realize unmanned management and digital recording of the entire process, greatly reduce the burden of traditional manual labor and the risk of misoperation, and also optimize equipment energy consumption and reduce long-term operation and maintenance costs.

[0006] To achieve the above objectives, the present invention provides the following solution: an intelligent micro-curing system for concrete test blocks, comprising a drawer-type storage cabinet composed of multiple micro-curing units, an intelligent transport robot wirelessly connected to the drawer-type storage cabinet, and a curing subsystem wirelessly connected to the drawer-type storage cabinet and the intelligent transport robot, wherein the curing subsystem includes:

[0007] The intelligent control module is used to perform three-dimensional modeling of the drawer-type storage cabinet for real-time maintenance monitoring, and to calculate the target temperature and target humidity parameters using a local MCU and PID hierarchical control algorithm.

[0008] The automated digital recording module is used to bind the original information of each test block and automatically record the test blocks' entry and exit from the warehouse, spatial location, curing status, curing environment, and handling process information.

[0009] The intelligent transportation module is used to select and configure intelligent transportation robots, generate a list of tasks to be transported, and perform intelligent identification, safe grasping, transporting and intelligent delivery of test blocks according to the list of tasks to be transported.

[0010] The remote monitoring module is used to perform data mapping in the background to achieve a combination of virtual and real maintenance processes, and to visualize the entire maintenance process and equipment status in the front end for remote monitoring. It also performs energy consumption optimization calculations on the drawer-type storage cabinet to obtain the best operating scheme for the equipment.

[0011] The trusted traceability module is used to build a multi-key database table and a full-process individual profile, and upload the multi-key database table and the full-process individual profile to a consortium blockchain or a private blockchain for storage and compliance authentication;

[0012] The intelligent control module, the automated digital recording module, the intelligent transportation module, the remote monitoring module, and the trusted traceability module are interconnected.

[0013] Optionally, the micro-maintenance unit is configured as a drawer-type structure. The micro-maintenance unit is used to maintain 3-5 sets of test blocks. The spacing between the test blocks and the spacing between the test blocks and the side wall of the micro-maintenance unit are both greater than 10mm. The micro-maintenance unit is equipped with a temperature and humidity sensor, an auxiliary sensor, and an environmental control component. The four walls, top, and bottom of the micro-maintenance unit are equipped with standard M4 nut posts and quick-release slots. The back of the micro-maintenance unit is equipped with a power-signal standard quick-connect female connector.

[0014] Optionally, the auxiliary sensors include a CO2 sensor and a volatile gas sensor, and the environmental control components include a piezoelectric ceramic micro-atomizing sheet for humidity regulation and an ultra-thin semiconductor cooling-heating sheet and a thermally conductive aluminum sheet for temperature regulation.

[0015] Optionally, the intelligent control module includes:

[0016] The partition sensing unit is used to perform three-dimensional modeling of the drawer-type storage cabinet and, based on the temperature and humidity sensor, to perform temperature and humidity field simulation analysis on the internal space of each micro-maintenance unit to obtain typical dead angles and airflow distribution. The three-dimensional modeling is combined with the typical dead angles and airflow distribution to obtain a visualized three-dimensional maintenance model for maintenance monitoring.

[0017] A control architecture unit is used to configure a local MCU for each of the micro-maintenance units to perform sensor data acquisition, actuator driving, and local control algorithm operation;

[0018] The PID hierarchical control unit is used to calculate the initial temperature target and the initial humidity target using a PID controller, and then use a PID hierarchical control algorithm to optimize and adjust the initial temperature target and the initial humidity target respectively to obtain the target temperature parameter and the target humidity parameter.

[0019] Optionally, the PID hierarchical control unit includes:

[0020] The basic PID control subunit is used to perform closed-loop control of temperature and humidity using a PID controller to obtain the initial temperature target and the initial humidity target.

[0021] The fuzzy adjustment subunit is used to adjust the PID gain coefficient based on the initial temperature target and the initial humidity target by introducing fuzzy logic to obtain the fuzzy adjustment value, and then introduce feedforward correction to perform temperature and humidity coordinated feedforward compensation to obtain the target temperature parameter and the target humidity parameter; the calculation expression of the temperature and humidity coordinated feedforward compensation is:

[0022]

[0023] in, This is the actual output command for the atomizer. Humidity closed-loop main output, The feedforward sensitivity coefficient, For the target temperature, This represents the average actual temperature.

[0024] Optionally, the automated digital recording module includes:

[0025] The sample binding unit is used to attach RFID tags containing the original information of the test blocks to the surface of each group of test blocks, and to deploy a short-range RFID reader / writer that interfaces with the local MCU in the micro-curing unit to read and write the original information of the test blocks. The short-range RFID reader / writer is equipped with a direction discrimination algorithm to capture the signals of test blocks entering and leaving the warehouse in real time. The original information of the test blocks includes the test block ID, sample production batch, engineering code and target test batch.

[0026] The process automation unit is used to bind the test block to its spatial location and mark it as curing when the test block enters the warehouse, and to unbind the test block from its spatial location and mark it as not curing when the test block leaves the warehouse. Then, it binds the test block's operation record and operator for each operation to obtain triple binding information of sample-space-operation.

[0027] The environmental association unit is used to obtain environmental sensing data using temperature and humidity sensors, synchronize the environmental sensing data to the cloud database, and automatically generate an environmental curve associated with the test block.

[0028] An automated transport unit is used to transport test blocks using the intelligent transport robot, and RFID readers are deployed on the intelligent transport robot to verify the identity of test blocks during inbound and outbound operations and handling, and to record the test block handling process in real time.

[0029] Optionally, the intelligent transportation module includes:

[0030] The transportation architecture unit is used to select an automated guided vehicle or a track robot as an intelligent transportation robot according to the laboratory environment, and to equip the intelligent transportation robot with a six-degree-of-freedom robotic arm, a camera, multiple RFID readers and a security lidar.

[0031] The intelligent identification unit is used to generate a list of tasks to be transported based on the maintenance and experimentation progress. Based on the list of tasks to be transported, the intelligent transport robot automatically arrives at the designated micro-maintenance unit to perform test block verification and outbound operations.

[0032] The safe handling unit is used to safely grasp, handle, and automatically deliver test blocks via the intelligent transport robot.

[0033] Optionally, the safe handling unit includes:

[0034] An adaptive gripping subunit is used to combine camera recognition information and RFID data to adjust the gripping force of the six-degree-of-freedom robotic arm for real-time gripping of test blocks.

[0035] The transport path sub-unit is used to automatically select the optimal transport path using the A or Dijkstra algorithm, and to perform dynamic obstacle avoidance and path optimization based on real-time road conditions.

[0036] The task scheduling subunit is used to adjust the priority of multiple transport tasks in the task list to be transported according to a multi-task scheduling strategy, thereby obtaining a transport task queue; the calculation expression of the multi-task scheduling strategy is:

[0037]

[0038] in, The normalized value for task queuing time. This is the normalized value of the distance from the destination. This is the normalized value of the task urgency coefficient. All are dynamic weighting factors.

[0039] Optionally, the remote monitoring module includes:

[0040] The data mapping unit is used to combine the visualized 3D maintenance model to dynamically map the micro-maintenance unit's number, environmental information, test block RFID, test block maintenance status, intelligent transport robot status, and handling task queue to the real physical scene. It also uses a Web component to display static and dynamic layers in the background to achieve virtual-real integration. Furthermore, it sends environmental setting instructions to the micro-maintenance unit via Web or APP to provide real-time environmental adjustment feedback.

[0041] The multi-window interactive unit is used to visually display the temperature and humidity curves, test block entry / exit-handling-maintenance timeline, equipment health status, optimal transportation path, and dynamic graph of handling task queue for each micro-maintenance unit on the front end for remote monitoring.

[0042] The health management unit is used to perform periodic self-testing and health scoring of the drawer-type storage cabinet, and to perform energy consumption decomposition and optimization to obtain the optimal operating scheme for the equipment; the calculation expression for the energy consumption decomposition and optimization is:

[0043]

[0044] in, To control the energy consumption of the maintenance unit, For standby power consumption, This refers to the loss portion.

[0045] Optionally, the trusted traceability module includes:

[0046] The data access unit is used to construct a multi-primary-key database table with the structure of test block ID-batch-spatial location-timestamp-operation type-environmental parameters-operator, and uses time series and event stream dual indexes to complete the structured storage of the data stream;

[0047] Digital archive unit, used to construct a complete individual archive for each test block, the complete individual archive supports one-click retrieval as well as statistics and report generation;

[0048] The on-chain traceability unit is used to upload the multi-primary-key structure table and the full-process individual files to the consortium blockchain or private blockchain for storage and compliance authentication.

[0049] This invention discloses the following technical effects by providing an intelligent micro-curing system for concrete test blocks:

[0050] 1. Stable maintenance quality: By designing a drawer-type storage cabinet, 1) its drawer-type structure, modular design, quick-install slots, and standard plug-in sockets enable independent and controllable small-batch, refined maintenance of each group of test blocks; 2) flexible unit replacement and expansion, easy maintenance, and convenient system expansion; 3) the micro-maintenance unit is equipped with temperature, humidity, and multiple types of sensors, and spatial three-dimensional modeling and simulation analysis of dead angles and airflow distribution can simulate and optimize the internal spatial structure and air duct design to ensure uniform airflow and further optimize the uniformity of temperature and humidity distribution; 4) the gap between the internal test blocks and the unit wall is optimized, and the temperature and humidity environment is precisely adjustable and the data collection is complete through environmental control components.

[0051] 2. High Transportation Efficiency: By designing an intelligent transportation robot, it possesses real-time path planning, task scheduling, and adaptive grasping capabilities. This enables automated and precise handling, improving the efficiency of test block transfer and experimentation, and reducing manual operation and safety risks. Furthermore, it supports dynamic obstacle avoidance and optimal path selection in mixed environmental scenarios, greatly enhancing operational efficiency.

[0052] 3. Refined Dynamic Control of Temperature and Humidity: 1) Through zoned PID, local MCU distributed control, and PID + fuzzy logic collaborative feedforward compensation algorithm, it can intelligently compensate for interference in complex spaces, improve environmental consistency, and ensure maintenance quality and repeatability. 2) Through a virtual-real fusion 3D visualization platform, multi-window interaction, and energy consumption optimization, it can perform real-time remote integrated monitoring of maintenance, handling, environment, and equipment status in space, achieving efficient early warning and decision-making.

[0053] 4. Traceable Maintenance Cycle: 1) Through triple digital binding of sample, space, and operator, and automatic recording throughout the entire process, the entire maintenance process is traceable and reproducible, eliminating chaotic test block management and information silos. 2) RFID identification + direction recognition algorithms automatically link maintenance environment parameters, operating procedures, and handling information, facilitating subsequent quality traceability. 3) Multi-primary key table structure and full-process individual file integration ensure data immutability, compliance, and traceability, meeting industry compliance and accident investigation requirements, supporting automated reporting in multiple scenarios, and supporting big data analysis and quality improvement.

[0054] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments. Attached Figure Description

[0055] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0056] Figure 1 This is a schematic diagram of the system architecture provided in an embodiment of the present invention;

[0057] Figure 2 A schematic diagram of the architecture of a drawer-type storage cabinet provided in an embodiment of the present invention;

[0058] Figure 3 This is a schematic diagram of the maintenance subsystem architecture provided in an embodiment of the present invention. Detailed Implementation

[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0060] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0061] like Figure 1 As shown, the present invention provides an intelligent micro-curing system for concrete test blocks, including a drawer-type storage cabinet composed of multiple micro-curing units, an intelligent transport robot wirelessly connected to the drawer-type storage cabinet, and a curing subsystem wirelessly connected to the drawer-type storage cabinet and the intelligent transport robot.

[0062] The micro-maintenance unit is configured as a drawer-type structure. The micro-maintenance unit is used to maintain 3-5 sets of test blocks. The spacing between the test blocks and the spacing between the test blocks and the side wall of the micro-maintenance unit are all greater than 10mm. The micro-maintenance unit is equipped with a temperature and humidity sensor, an auxiliary sensor and an environmental control component. The four walls, top and bottom of the micro-maintenance unit are equipped with standard M4 nut posts and quick-release slots. The back of the micro-maintenance unit is equipped with a power-signal standard quick-connect female connector.

[0063] Overall Structure: The entire cabinet is constructed using honeycomb sandwich panels, metal, or composite materials, with built-in insulation and stress-dispersing layers, achieving a balance between lightweight and high rigidity. For example, the base and four walls of its frame structure are made of XPS extruded polystyrene insulation board, while the top is an insulated flexible board with a zipper-style opening and closing mechanism. Quick-installation slots are provided on the four walls, top, and bottom.

[0064] like Figure 2 As shown, the standardized design includes 4 rows and 5 columns with 20 drawers. The external dimensions of each unit are uniform, such as 600×400×200mm, which facilitates mass production and subsequent expansion, making it flexible and convenient.

[0065] Easy modular assembly and disassembly: The drawers use quick-access slides and plug-in locking devices, allowing a single person to replace or maintain the unit at any time. All modules are spare parts for each other.

[0066] The auxiliary sensors include a CO2 sensor and a volatile gas sensor. The environmental control components include a piezoelectric ceramic micro-atomizing sheet for humidity regulation and an ultra-thin semiconductor cooling-heating sheet and a thermally conductive aluminum sheet for temperature regulation. SMD-packaged temperature, humidity, and CO2 sensor modules are used to achieve an integrated, small PCB layout.

[0067] in:

[0068] 1) Piezoelectric ceramic micro-atomizing sheet

[0069] High-frequency vibration breaks water into micron-sized droplets, which are then diffused into the air to increase humidity. The amount of atomization is changed by controlling its operating power, such as the PWM duty cycle; the higher the power, the greater the humidification per unit time.

[0070] 2) Ultra-thin semiconductor heating element

[0071] Cooling (heat absorption by the cold side) or heating (heat release by the hot side) is achieved by switching the direction of the current, directly regulating the ambient temperature. The cooling or heating power is controlled by changing the current magnitude or the PWM duty cycle; the higher the current, the higher the power and the faster the temperature change rate.

[0072] The ultra-thin semiconductor cooling-heating element is a Peltier element. Its temperature regulation capability is mainly determined by its cooling-heating power, working environment and space size. The thermally conductive aluminum sheet only enhances the heat transfer efficiency and does not directly change the regulation range.

[0073] Typical adjustment range: For small, enclosed spaces, the heating mode can typically raise the temperature from ambient temperature (e.g., 10°C) to 40-60°C (depending on power). For example, a 5V / 3A ultra-thin Peltier element with a power of approximately 15W can heat from 20°C to around 50°C.

[0074] Cooling mode: This mode can typically reduce the temperature from ambient temperature (e.g., 30°C) to 5-15°C, or 15-25°C below the ambient temperature. For example, for components of the same specifications, the cooling mode can reduce the temperature to 10-15°C when the ambient temperature is 30°C.

[0075] 3) Thermally conductive aluminum sheet

[0076] As a heat transfer medium, it increases the heat dissipation or heat absorption area of ​​the semiconductor heating element, improving temperature regulation efficiency and uniformity, and avoiding excessive local temperature differences. It is also attached to the hot and cold surfaces of the semiconductor cooling / heating element to enhance heat transfer.

[0077] Piezoelectric ceramic micro-atomizing sheets, ultra-thin semiconductor cooling-heating sheets, and thermally conductive aluminum sheets need to be used in conjunction with temperature and humidity sensors to collect environmental data in real time, forming a closed-loop system of "sensor → controller → actuator". For example:

[0078] Temperature regulation: Stabilizes the ambient temperature at the set value. If the current temperature is less than the target temperature, the semiconductor cooling-heating element switches to heating mode, releasing heat to the environment through the thermally conductive aluminum sheet, with power dynamically adjusted according to the temperature difference. If the current temperature is greater than the target temperature, it switches to cooling mode, absorbing heat from the environment through the thermally conductive aluminum sheet, with power dynamically adjusted according to the temperature difference.

[0079] Humidity control: Stabilizes the ambient humidity at the set value. If the current humidity is less than the target humidity, the piezoelectric ceramic micro-atomizing sheet is activated, and the humidification rate is controlled by adjusting the power, such as the PWM duty cycle. If the current humidity is greater than the target humidity, atomization stops.

[0080] like Figure 3 As shown, the maintenance subsystem includes interconnected intelligent control module, automated digital recording module, intelligent transportation module, remote monitoring module, and reliable traceability module:

[0081] 1. An intelligent control module, used to perform 3D modeling of the drawer-type storage cabinet for real-time maintenance monitoring, and to calculate target temperature and humidity parameters using a local MCU and PID hierarchical control algorithm; the intelligent control module includes:

[0082] 1.1 Zone Sensing Unit

[0083] The system is used to perform 3D modeling of the drawer-type storage cabinet and, based on the temperature and humidity sensor, to perform temperature and humidity field simulation analysis on the internal space of each micro-maintenance unit to obtain typical dead angles and airflow distribution. By combining the 3D modeling with the typical dead angles and airflow distribution, a visualized 3D maintenance model is obtained for maintenance monitoring.

[0084] 1.2 Control Architecture Unit

[0085] This is used to configure a local MCU for each of the micro-maintenance units to perform sensor data acquisition, actuator driving, and local control algorithm operation.

[0086] Data channels: Supports multi-channel acquisition (temperature and humidity at the center of the drawer, 5 points at the four corners, CO2, etc.) and multi-channel PWM / DA / GPIO output (to control cooling / heating elements, atomizing elements, fans, etc.).

[0087] Independent parameter settings: Locally set individual temperature and humidity targets for each drawer, such as T. set =20℃, H set =95%, and can also be distributed in batches through the host computer to meet the needs of multiple objectives in one container.

[0088] 1.3 PID Hierarchical Control Unit

[0089] This system utilizes a PID controller to calculate initial temperature and humidity targets, and then employs a PID hierarchical control algorithm to optimize and adjust these targets respectively, yielding target temperature and target humidity parameters. The PID hierarchical control unit includes:

[0090] 1.3.1 Basic PID Control Subunit

[0091] This is used to perform closed-loop control of temperature and humidity using a PID controller to obtain initial temperature and initial humidity targets.

[0092] 1.3.2 Fuzzy Adjustment Subunit

[0093] Based on the initial temperature and humidity targets, fuzzy logic is introduced to adjust the PID gain coefficient, obtaining a fuzzy adjustment value to overcome micro-spatial nonlinearity, small fluctuations in environmental interference, and actuator hysteresis. Then, feedforward correction is introduced for temperature and humidity coordinated feedforward compensation to obtain the target temperature and humidity parameters; the calculation expression for the temperature and humidity coordinated feedforward compensation is:

[0094]

[0095] in, This is the actual output command for the atomizer. Humidity closed-loop main output, The feedforward sensitivity coefficient, For the target temperature, This represents the average actual temperature.

[0096] 2. An automated digital recording module, used to bind the original information of each group of test blocks and automatically record the test blocks' entry and exit from the warehouse, spatial location, curing status, curing environment, and handling process information. The automated digital recording module includes:

[0097] 2.1 Sample Binding Unit

[0098] An RFID tag containing the original information of the test block is affixed to the surface of each test block. A short-range RFID reader / writer, which interfaces with the local MCU, is deployed in the micro-curing unit to read and write the original information of the test block. A direction discrimination algorithm is introduced into the short-range RFID reader / writer to capture the test block entry and exit signals in real time. The original information of the test block includes: test block ID, sample production batch, engineering code, and target test batch.

[0099] 2.2 Process Automation Unit

[0100] When a test block is inserted or removed, the RFID reader automatically reads and identifies the current tag and drawer number. The system automatically sets up a three-element association in the local and cloud databases: test block ID - drawer number - timestamp.

[0101] When the test block is put into storage, the test block is bound to the test block spatial location and marked as curing. When the test block is taken out of storage, the test block is unbound from the test block spatial location and marked as not curing. Then, the operation record of each test block and the operator are bound together to obtain the triple binding information of sample-space-operation.

[0102] 2.3 Environmental Related Unit

[0103] This is used to obtain environmental sensing data using temperature and humidity sensors, synchronize the environmental sensing data to a cloud database, and automatically generate an environmental curve associated with the test block, including temperature, humidity, and CO2.

[0104] 2.4 Automated Transport Unit

[0105] The system utilizes the intelligent transport robot to transport test blocks, and deploys RFID readers on the intelligent transport robot to verify the identity of test blocks during inbound and outbound operations and handling processes, and records the test block handling process in real time, i.e., automatically recording the process of leaving the cabinet-transferring to arrival, seamlessly connecting maintenance, transportation, and experimentation.

[0106] 3. An intelligent transportation module, used to select and configure intelligent transportation robots, generate a list of tasks to be transported, and perform intelligent identification, safe grasping, transporting, and intelligent delivery of test blocks according to the list of tasks to be transported; the intelligent transportation module includes:

[0107] 3.1 Transportation Architecture Unit

[0108] This is used to select an automated guided vehicle or a track robot as an intelligent transport robot based on the laboratory environment, and to equip the intelligent transport robot with a six-degree-of-freedom robotic arm, a high-resolution camera, multiple RFID readers, and a security lidar.

[0109] 3.2 Intelligent Recognition Unit

[0110] Based on the maintenance and testing progress, a list of tasks to be transported is generated. According to the list of tasks to be transported, the intelligent transport robot automatically arrives at the designated micro-maintenance unit to perform test block verification and outbound operations.

[0111] Test block verification: such as digital double comparison: scan the RFID once before the test block is picked up, and scan it a second time the moment it leaves the drawer. If the match is successful, the handling is confirmed; otherwise, an alarm is set to prevent accidental picking, thus creating a closed-loop logic.

[0112] 3.3 Safe handling unit

[0113] This unit is used for the safe grasping, handling, and automatic delivery of test blocks via the intelligent transport robot. The safe handling unit includes:

[0114] 3.3.1 Adaptive Grasping Subunit

[0115] This is used to combine camera recognition information and RFID data to adjust the gripping force of the six-degree-of-freedom robotic arm for real-time grasping of test blocks.

[0116] 3.3.2 Transport Path Subunit

[0117] It is used to automatically select the optimal transportation route using the A or Dijkstra algorithm, and to perform dynamic obstacle avoidance and route optimization based on real-time traffic conditions.

[0118] 3.3.3 Task Scheduling Subunit

[0119] This is used to adjust the priority of multiple transport tasks in the list of tasks to be transported according to a multi-task scheduling strategy, thereby obtaining a transport task queue; the calculation expression of the multi-task scheduling strategy is:

[0120]

[0121] in, The normalized value for task queuing time. This is the normalized value of the distance from the destination. This is the normalized value of the task urgency coefficient. All are dynamic weighting factors.

[0122] Test block placement: Upon arrival at the new drawer or testing machine station, scan the RFID again to confirm the target location and place it accurately at the designated support point.

[0123] Return operation: Upon detecting the end of the test, the test block is automatically moved from the testing machine or buffer area back to the designated drawer, and the maintenance status is updated.

[0124] 4. A remote monitoring module is used for data mapping in the background to achieve a combination of virtual and real-world integration of the maintenance process, and for visual display of the entire maintenance process and equipment status on the front end for remote monitoring. It also performs energy consumption optimization calculations on the drawer-type storage cabinet to obtain the optimal operating scheme for the equipment. The remote monitoring module includes:

[0125] 4.1 Data Mapping Unit

[0126] This system is used to combine the visualized 3D maintenance model to dynamically map the micro-maintenance unit's number, environmental information, test block RFID, test block maintenance status, intelligent transport robot status, and handling task queue to the real physical scene. Using a web component, static and dynamic layers are displayed in the background to achieve virtual-real fusion. Then, environmental setting instructions are sent to the micro-maintenance unit via the web or APP to provide real-time environmental adjustment feedback.

[0127] The essence of dynamic data mapping is to enable virtual information to change synchronously with the real physical scene through a closed loop of real-time data acquisition, model calculation, and scene feedback. Its ultimate goal is to make the 3D model a "computable mirror" of the real scene, providing a precise digital foundation for intelligent decision-making.

[0128] 4.2 Multi-window interaction unit

[0129] This is used to visualize and display the temperature and humidity curves, test block entry / exit-handling-maintenance timeline, equipment health status, optimal transportation path, and dynamic diagram of handling task queue for each micro-maintenance unit on the front end for remote monitoring.

[0130] 4.3 Health Management Unit

[0131] This is used to perform periodic self-testing and health scoring of the drawer-type storage cabinet, and to decompose and optimize energy consumption to obtain the optimal operating scheme for the equipment; the calculation expression for the energy consumption decomposition and optimization is:

[0132]

[0133] in, To control the energy consumption of the maintenance unit, For standby power consumption, This refers to the loss portion.

[0134] 5. A trusted traceability module, used to construct a multi-primary-key database table and a full-process individual profile, and upload the multi-primary-key database table and the full-process individual profile to a consortium blockchain or private blockchain for storage and compliance authentication; the trusted traceability module includes:

[0135] 5.1 Data Access Unit

[0136] This is used to construct a multi-primary-key database table with the structure of test block ID-batch-spatial location-timestamp-operation type-environmental parameters-operator, and to complete the structured storage of the data stream using both time series and event stream indexes;

[0137] 5.2 Digital Archive Unit

[0138] This is used to construct a complete individual file for each test block, from factory entry and exit, maintenance, testing, transportation, and final archiving. The complete individual file supports one-click retrieval, statistics, and report generation.

[0139] 5.3 On-chain traceability unit

[0140] Used to upload the multi-primary-key structure table and the complete individual profile to a consortium blockchain or private blockchain for storage and compliance authentication. Also supports:

[0141] Multi-role recording: The system records the executor, device number, time node, etc. of each operation, and realizes digital signature with multiple responsible persons and different permissions.

[0142] Automatic system anomaly reporting: For critical events such as exceeding temperature and humidity limits, equipment failure, RFID anomalies, or conveyor vehicle jamming, the system will automatically trigger event reporting, initiate anomaly report archiving, and push the relevant personnel for handling.

[0143] Compliance certification integration: All maintenance and testing processes are archived in accordance with accredited standards such as CNAS, supporting third-party audits to directly read and verify the on-chain data.

[0144] 6. Work Process

[0145] The following operating procedure can be used as a reference: Front desk staff receive samples → Manually establish the original information of the test blocks, including the test block ID, sample production batch, engineering code, and target test batch → Test blocks of the same age are placed in the same micro-curing unit (same drawer), and all the original information of the test blocks are assigned to the curing unit → Set the curing order to be transported to the drawer-type storage cabinet by an intelligent transport robot within 30 minutes, and use an adaptive gripping mechanism to send the curing unit into a specific drawer micro-curing unit of the drawer-type storage cabinet → Connect temperature, humidity, power, signal, etc. using the quick connector of the micro-curing unit → Enter the standard curing period.

[0146] Personalized timing and temperature / humidity control are implemented for the same micro-care unit (same drawer). A warning message is sent 12 hours before the end of standard curing, informing the intelligent transport robot and testing machine to wait.

[0147] When the standard maintenance is completed, the intelligent transport robot is automatically notified to deliver the micro-maintenance unit (in the same drawer) to the testing machine for testing.

[0148] The original information for the test, including the test block ID, sample production batch, engineering code, and target test batch, is set manually at the front end once and used in all stages.

[0149] Information from the same micro-maintenance unit (same drawer) must be integrated across all test blocks within the same drawer and subject to unified control.

[0150] Therefore, by providing an intelligent micro-curing system for concrete test blocks, this invention can significantly improve the consistency of the curing environment, realize unmanned management and digital recording throughout the entire process, greatly reduce the burden of traditional manual labor and the risk of misoperation, and also optimize equipment energy consumption and reduce long-term operation and maintenance costs.

[0151] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.

[0152] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.

Claims

1. An intelligent micro-curing system for concrete test blocks, characterized in that, The system includes a drawer-type storage cabinet composed of multiple micro-maintenance units, an intelligent transport robot wirelessly connected to the drawer-type storage cabinet, and a maintenance subsystem wirelessly connected to both the drawer-type storage cabinet and the intelligent transport robot. The maintenance subsystem includes: The intelligent control module is used to perform three-dimensional modeling of the drawer-type storage cabinet for real-time maintenance monitoring, and to calculate the target temperature and target humidity parameters using a local MCU and PID hierarchical control algorithm. The automated digital recording module is used to bind the original information of each test block and automatically record the test blocks' entry and exit from the warehouse, spatial location, curing status, curing environment, and handling process information. The intelligent transportation module is used to select and configure intelligent transportation robots, generate a list of tasks to be transported, and perform intelligent identification, safe grasping, transporting and intelligent delivery of test blocks according to the list of tasks to be transported. The remote monitoring module is used to perform data mapping in the background to achieve a combination of virtual and real maintenance processes, and to visualize the entire maintenance process and equipment status in the front end for remote monitoring. It also performs energy consumption optimization calculations on the drawer-type storage cabinet to obtain the best operating scheme for the equipment. The trusted traceability module is used to build a multi-key database table and a full-process individual profile, and upload the multi-key database table and the full-process individual profile to a consortium blockchain or a private blockchain for storage and compliance authentication; The intelligent control module, the automated digital recording module, the intelligent transportation module, the remote monitoring module, and the trusted traceability module are interconnected. The intelligent control module includes: The partition sensing unit is used to perform three-dimensional modeling of the drawer-type storage cabinet and, based on temperature and humidity sensors, to perform temperature and humidity field simulation analysis on the internal space of each micro-maintenance unit to obtain typical dead angles and airflow distribution. The three-dimensional modeling is combined with the typical dead angles and airflow distribution to obtain a visualized three-dimensional maintenance model for maintenance monitoring. A control architecture unit is used to configure a local MCU for each of the micro-maintenance units to perform sensor data acquisition, actuator driving, and local control algorithm operation; The PID hierarchical control unit is used to calculate the initial temperature target and the initial humidity target using a PID controller, and then use a PID hierarchical control algorithm to optimize and adjust the initial temperature target and the initial humidity target respectively to obtain the target temperature parameter and the target humidity parameter. The remote monitoring module includes: The data mapping unit is used to combine the visualized 3D maintenance model to dynamically map the micro-maintenance unit's number, environmental information, test block RFID, test block maintenance status, intelligent transport robot status, and handling task queue to the real physical scene. It also uses a Web component to display static and dynamic layers in the background to achieve virtual-real integration. Furthermore, it sends environmental setting instructions to the micro-maintenance unit via Web or APP to provide real-time environmental adjustment feedback. The multi-window interactive unit is used to visually display the temperature and humidity curves, test block entry / exit-handling-maintenance timeline, equipment health status, optimal transportation path, and dynamic graph of handling task queue for each micro-maintenance unit on the front end for remote monitoring. The health management unit is used to perform periodic self-testing and health scoring of the drawer-type storage cabinet, and to perform energy consumption decomposition and optimization to obtain the optimal operating scheme for the equipment; the calculation expression for the energy consumption decomposition and optimization is: ； in, To control the energy consumption of the maintenance unit, For standby power consumption, This refers to the loss portion; The trusted traceability module includes: The data access unit is used to construct a multi-primary-key database table with the structure of test block ID-batch-spatial location-timestamp-operation type-environmental parameters-operator, and uses time series and event stream dual indexes to complete the structured storage of the data stream; Digital archive unit, used to construct a complete individual archive for each test block, the complete individual archive supports one-click retrieval as well as statistics and report generation; The on-chain traceability unit is used to upload the multi-primary-key database table and the full-process individual profile to the consortium blockchain or private blockchain for storage and compliance authentication.

2. The intelligent micro-curing system for concrete test blocks according to claim 1, characterized in that, The micro-maintenance unit is configured as a drawer-type structure. The micro-maintenance unit is used to maintain 3-5 sets of test blocks. The spacing between the test blocks and the spacing between the test blocks and the side wall of the micro-maintenance unit are all greater than 10mm. The micro-maintenance unit is equipped with a temperature and humidity sensor, an auxiliary sensor and an environmental control component. The four walls, top and bottom of the micro-maintenance unit are equipped with standard M4 nut posts and quick-release slots. The back of the micro-maintenance unit is equipped with a power-signal standard quick-connect female connector.

3. The intelligent micro-curing system for concrete test blocks according to claim 2, characterized in that: The auxiliary sensors include a CO2 sensor and a volatile gas sensor, and the environmental control components include a piezoelectric ceramic micro-atomizing sheet for humidity regulation and an ultra-thin semiconductor cooling-heating sheet and a thermally conductive aluminum sheet for temperature regulation.

4. The intelligent micro-curing system for concrete test blocks according to claim 3, characterized in that, The PID hierarchical control unit includes: The basic PID control subunit is used to perform closed-loop control of temperature and humidity using a PID controller to obtain the initial temperature target and the initial humidity target. The fuzzy adjustment subunit is used to adjust the PID gain coefficient based on the initial temperature target and the initial humidity target by introducing fuzzy logic to obtain the fuzzy adjustment value, and then introduce feedforward correction to perform temperature and humidity coordinated feedforward compensation to obtain the target temperature parameter and the target humidity parameter; the calculation expression of the temperature and humidity coordinated feedforward compensation is: ； in, This is the actual output command for the atomizer. Humidity closed-loop main output The feedforward sensitivity coefficient, For the target temperature, This represents the average actual temperature.

5. The intelligent micro-curing system for concrete test blocks according to claim 4, characterized in that, The automated digital recording module includes: The sample binding unit is used to attach RFID tags containing the original information of the test blocks to the surface of each group of test blocks, and to deploy a short-range RFID reader / writer that interfaces with the local MCU in the micro-curing unit to read and write the original information of the test blocks. The short-range RFID reader / writer is equipped with a direction discrimination algorithm to capture the signals of test blocks entering and leaving the warehouse in real time. The original information of the test blocks includes the test block ID, sample production batch, engineering code and target test batch. The process automation unit is used to bind the test block to its spatial location and mark it as curing when the test block enters the warehouse, and to unbind the test block from its spatial location and mark it as not curing when the test block leaves the warehouse. Then, it binds the test block's operation record and operator for each operation to obtain triple binding information of sample-space-operation. The environmental association unit is used to obtain environmental sensing data using temperature and humidity sensors, synchronize the environmental sensing data to the cloud database, and automatically generate an environmental curve associated with the test block. An automated transport unit is used to transport test blocks using the intelligent transport robot, and RFID readers are deployed on the intelligent transport robot to verify the identity of test blocks during inbound and outbound operations and handling, and to record the test block handling process in real time.

6. The intelligent micro-curing system for concrete test blocks according to claim 5, characterized in that, The intelligent transportation module includes: The transportation architecture unit is used to select an automated guided vehicle or a track robot as an intelligent transportation robot according to the laboratory environment, and to equip the intelligent transportation robot with a six-degree-of-freedom robotic arm, a camera, multiple RFID readers and a security lidar. The intelligent identification unit is used to generate a list of tasks to be transported based on the maintenance and experimentation progress. Based on the list of tasks to be transported, the intelligent transport robot automatically arrives at the designated micro-maintenance unit to perform test block verification and outbound operations. The safe handling unit is used to safely grasp, handle, and automatically deliver test blocks via the intelligent transport robot.

7. The intelligent micro-curing system for concrete test blocks according to claim 6, characterized in that, The safe handling unit includes: An adaptive gripping subunit is used to combine camera recognition information and RFID data to adjust the gripping force of the six-degree-of-freedom robotic arm for real-time gripping of test blocks. The transport path sub-unit is used to automatically select the optimal transport path using the A or Dijkstra algorithm, and to perform dynamic obstacle avoidance and path optimization based on real-time road conditions. The task scheduling subunit is used to adjust the priority of multiple transport tasks in the task list to be transported according to a multi-task scheduling strategy, thereby obtaining a transport task queue; the calculation expression of the multi-task scheduling strategy is: ； in, The normalized value for task queuing time. This is the normalized value of the distance from the destination. This is the normalized value of the task urgency coefficient. All are dynamic weighting factors.

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