A multi-parameter acquisition monitoring system and method for intelligent heat preservation of mass concrete

Abstract

This invention relates to the field of automatic temperature control technology and discloses a multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete. The system synchronously acquires core temperature, surface temperature, felt outer temperature, ambient temperature, and surface heat flow according to independently driveable insulation zones. It establishes a zoned thermal path map using shared contact boundaries and generates a complete thermal path vector based on channel mask vectors, adjacency weights, and a graph convolution matrix calibrated by a test section, restoring the engineering quantity corresponding to missing channels. Then, it generates commands for covering, holding, or removing the covers based on the inner-to-outer temperature difference, cooling rate, felt outer temperature difference, and complete heat flow, driving the zoned roll-up mechanism to execute in a closed loop. This invention retains effective measured components when sensor channels are continuously missing and supplements current observations using the thermal state of adjacent zones. When all corresponding channels in the entire neighborhood are simultaneously missing, it maintains the actions of the previous cycle and issues an alarm, thereby maintaining the continuity and traceability of zoned thermal insulation control during critical heating periods.

Description

Technical Field

[0001] This invention relates to the field of automatic temperature control technology, specifically to a multi-parameter acquisition and monitoring system and method for intelligent thermal insulation of large-volume concrete. Background Technology

[0002] After pouring, large-volume concrete experiences internal heating due to the heat released during the hydration of the cementitious materials, while the surface continuously exchanges heat with the environment. When the internal and surface temperatures are not synchronized, significant temperature stress can easily form. Existing temperature control systems typically deploy temperature sensors internally, on the surface, and in the environment, transmitting the measurement results to a monitoring terminal via wired or wireless links. Based on indicators such as the temperature difference between the inside and surface, the highest temperature, or the cooling rate, the system prompts the addition of insulation materials, adjustment of cooling water, or implementation of artificial curing. When this method can continuously obtain valid measurements, it can provide construction personnel with a basis for judging temperature changes. However, during the construction phase, factors such as vibration, rebar and scaffolding operations, tensile and compressive stress on sensor cables, and wireless signal attenuation due to water-containing concrete and site obstructions can cause some measuring points to fail to return valid messages for multiple consecutive sampling cycles. Common monitoring methods, when data is missing, either maintain the old value, wait for retransmission, discard the current period, or continue calculation based on a single-point replacement value. The old value cannot reflect the temperature evolution during the missing period, and historical retransmission cannot restore the control opportunities that have been missed. When the missing data is concentrated in the same insulation zone, the control terminal has difficulty in timely forming actions to cover, maintain, or remove the cover according to the thermal state of that zone, resulting in the loss of continuous basis for the insulation control of the zone during the critical heating period. Summary of the Invention

[0003] This invention provides a multi-parameter acquisition and monitoring system and method for intelligent thermal insulation of large-volume concrete, in order to solve the technical problem of how to maintain the continuity of zoned thermal insulation control when sensor data is continuously missing during the critical heating period.

[0004] In a first aspect, the present invention provides a multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete, comprising: The zone synchronous acquisition module is used to acquire core temperature, surface temperature, felt outside temperature, ambient temperature and surface heat flow at the same sampling time according to independently driveable insulation zones, and save the sampling time interval; The thermal path map construction module is used to generate adjacency weights, zone thermal path vectors, and channel mask vectors, with insulation zones as nodes and shared contact boundaries as graph edges. The graph completion module is used to generate a completed thermal path vector based on the graph convolution matrix, the partition thermal path vector of the current insulation zone and the adjacent insulation zones, the channel mask vector, and the adjacency weight, and to restore the completed core temperature, completed surface temperature, completed felt temperature, and completed heat flux. The instruction generation module is used to generate heat preservation instructions based on the complete core temperature, complete surface temperature, complete felt temperature, complete heat flux, ambient temperature, sampling time interval, temperature difference limit, and cooling limit. The action execution module is used to drive the partition roll-up mechanism to add, maintain, or remove the standard insulation module according to the insulation command, and to trigger the next sampling cycle.

[0005] This invention provides a multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete. It can independently perform regional multi-parameter acquisition for thermal insulation actions, retaining the engineering meaning of core temperature, surface temperature, felt outer temperature, ambient temperature, and surface heat flow. When some channels are continuously missing, the system recovers the missing components using adjacent zone information defined by shared contact boundaries and the available status of the channels, while ensuring that effective measured components are not overwritten by model results. The recovered corresponding engineering quantities continue to participate in the joint determination of inner and outer surface temperature difference, cooling rate, felt outer temperature difference, and heat flow. When all corresponding channels in the neighborhood are simultaneously missing, the system maintains the actions of the previous cycle and issues an alarm. Therefore, it can maintain the continuity of zoned thermal insulation judgment and execution records during critical heating periods, and ensure that the basis for completion, the source of instructions, and the location of the organization are traceable. It can also retain the same judgment chain under different combinations of missing values ​​and construction stages, reducing action lag caused by maintaining old values ​​or waiting for supplementary transmission.

[0006] Secondly, this invention provides a multi-parameter acquisition and monitoring method for intelligent thermal insulation of large-volume concrete, comprising the following steps: Step S1: Collect the core temperature, surface temperature, felt outside temperature, ambient temperature and surface heat flow at the same sampling time according to the independently driveable heat preservation zones, and save the sampling time interval. Step S2: Using the thermal insulation zone as nodes and the shared contact boundary as graph edges, generate adjacency weights, zone thermal path vectors, and channel mask vectors. Step S3: Generate a complete thermal path vector based on the graph convolution matrix, the partition thermal path vector of the current thermal insulation zone and the adjacent thermal insulation zones, the channel mask vector and the adjacency weight, and restore the complete core temperature, complete surface temperature, complete felt temperature and complete heat flux. Step S4: Generate a heat preservation command based on the complete core temperature, complete surface temperature, complete felt temperature, complete heat flux, ambient temperature, sampling time interval, temperature difference limit, and cooling limit; Step S5: Drive the partition roll-up mechanism to cover, maintain, or remove the standard insulation module according to the insulation command, and trigger the next sampling cycle.

[0007] Thirdly, the present invention provides a computer-readable storage medium storing computer instructions, which are used to cause a computer to execute the multi-parameter acquisition and monitoring method for intelligent thermal insulation of large-volume concrete described in the second aspect above. Attached Figure Description

[0008] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0009] Figure 1 This is a schematic diagram of a multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to the present invention. Figure 2 This is a calculation flowchart of a multi-parameter acquisition and monitoring method for intelligent thermal insulation of large-volume concrete according to the present invention. Figure 3 This is a deployment diagram of a multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to the present invention. Detailed Implementation

[0010] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, 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, 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.

[0011] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0012] like Figure 1 As shown, a multi-parameter acquisition and monitoring system 100 for intelligent thermal insulation of large-volume concrete includes: The partitioned synchronous acquisition module 110 is used to acquire core temperature, surface temperature, felt outside temperature, ambient temperature and surface heat flow at the same sampling time according to independently driveable insulation partitions, and save the sampling time interval. The thermal path diagram construction module 120 is used to generate adjacency weights, partition thermal path vectors, and channel mask vectors, with thermal insulation zones as nodes and shared contact boundaries as graph edges. The graph completion module 130 is used to generate a completed thermal path vector based on the graph convolution matrix, the partition thermal path vector of the current thermal insulation zone and the adjacent thermal insulation zones, the channel mask vector and the adjacency weight, and to restore the completed core temperature, completed surface temperature, completed felt temperature and completed heat flux. The instruction generation module 140 is used to generate heat preservation instructions based on the complete core temperature, complete surface temperature, complete felt temperature, complete heat flux, ambient temperature, sampling time interval, temperature difference limit and cooling limit; The action execution module 150 is used to drive the partition roll-up mechanism to cover, maintain, or remove the standard insulation module according to the insulation command, and to trigger the next sampling cycle.

[0013] Example 1 The partitioned synchronous acquisition module 110 performs the following steps: Step S101: Arrange core measuring points, surface measuring points, outer measuring points, environmental measuring points, and surface heat flow measuring points according to the insulation zone. The core measuring points are located inside the zone, the surface measuring points are located below the concrete surface, the outer measuring points are located on the outer surface of the insulation felt, and the environmental measuring points are located in the shaded and ventilated positions. The surface heat flow is positively directed towards the environment. The core temperature is the internal temperature of the concrete as reflected by representative measuring points within the zone. The core measuring points use embedded digital temperature sensors or platinum resistance temperature sensors. Before pouring, the probes are fixed to non-thermal-conducting supports, avoiding direct contact with reinforcing bars, formwork, and cooling pipes. After installation, the sensors are compared at the same point using calibrated thermometers, and the zero-point deviation and channel number are recorded. Before pouring, the insulation, continuity, and data return status are checked. During pouring and vibration, the lead wires are kept with a slack allowance, and mechanical protection is installed at the lead-out positions.

[0014] The surface temperature is the surface temperature reflected by the measuring points below the concrete surface. The surface measuring points use embedded temperature sensors. The probes are arranged at the depth specified in the special temperature control plan, and the distance between the probes and the designed surface is maintained by positioning components to prevent the probes from shifting due to pouring and vibration.

[0015] The temperature outside the felt is the temperature of the outer surface of the insulation felt. The measuring point outside the felt uses a patch-type temperature sensor with the sensing surface in contact with the outer surface of the insulation felt. A radiation shielding layer that does not obstruct ventilation is set outside the sensing surface to reduce the interference of solar radiation and rainwater on the measurement results.

[0016] The ambient temperature is the air temperature at the shaded and ventilated location; the environmental measuring point uses an ambient temperature sensor with a ventilated radiation shield, and its distance from the concrete surface, construction heat source, water accumulation and exhaust vent is not less than the isolation distance of the environmental measuring point specified in the special temperature control plan; in this embodiment, the environmental measuring point is shared by multiple insulation zones, and each insulation zone at the same sampling time uses the effective sample value of the environmental measuring point as the ambient temperature.

[0017] Surface heat flux is the heat flux density transferred from the surface of a partition to the environment. The surface heat flux measurement point uses a calibrated thin-film heat flux sensor. The sensor's measuring surface is perpendicular to the main heat transfer direction and is placed in a stable contact position between the concrete surface and the insulation layer. The positive direction of the sensor markings faces the environment, and the controller records the sensor polarity in the wiring configuration. When the sensor installation direction is opposite to the marking direction, the sign of the sampled value is changed in the channel configuration so that all insulation partitions use the same positive direction of heat flux.

[0018] Each insulation zone corresponds to a zone roll-up mechanism. Core measuring points, surface measuring points, felt outer measuring points, and surface heat flow measuring points are each bound to their corresponding zone identifiers. Environmental measuring points shared by multiple insulation zones are bound to their corresponding shared identifiers. For insulation zones with multiple similar measuring points, the corresponding channel values ​​for the zone are formed according to the representative value rules predetermined in the special temperature control scheme and which remain unchanged during project operation. At the same time, the original measuring point values ​​and calibration records are retained.

[0019] Step S102: Generate core temperature, surface temperature, felt outside temperature, ambient temperature, and surface heat flux at the same sampling time. The same sampling time is triggered by the unified clock of the acquisition device. Each channel completes reading and writes the same sampling timestamp within the same sampling window. The acquisition device first checks the partition identifier, channel identifier and sampling timestamp, and then performs range verification and check code verification. Data that actually arrives and passes the verification is marked as valid arrival. Data that is not read, times out, exceeds the valid range or fails verification is marked as missing. Interpolation results are not used to replace source data.

[0020] Step S103: Generate the sampling time interval based on the difference between two adjacent actual sampling times.

[0021] The sampling interval is the difference between the actual sampling timestamps recorded in the data frames of two adjacent control cycles. The acquisition device saves the sampling timestamps and message arrival times. When calculating the sampling interval, only the sampling timestamps are used, and the arrival time difference caused by network queuing, retransmission, or supplementary transmission is not used to replace the actual sampling time difference. When some channels are missing in the current control cycle, the sampling interval is still generated using the sampling timestamps of the current data frame and the data frame of the previous control cycle. When the acquisition device restarts or the unified clock jumps, the use of the sampling interval to calculate the cooling rate is suspended, and a continuous time reference is re-established based on the clock synchronization record.

[0022] Example 2 The heat map construction module 120 executes the following steps: Step S201: Using thermal insulation zones as nodes, and the connection between two thermal insulation zones with a shared contact boundary as graph edges; A shared contact boundary is the boundary segment where two insulation zones are continuously connected on the concrete surface. A graph edge is only established when two insulation zones share a real contact boundary. No graph edge is established between insulation zones that only have point contact, are adjacent across joints, or are only close in planar projection without continuous heat transfer contact. After the insulation zone boundary is adjusted, the boundary coordinates and the length of the shared contact boundary are checked, and the node table and graph edge table are updated synchronously.

[0023] Step S202: Generate adjacency weights based on the normalization of the shared contact boundary, so that each insulation zone only exchanges the partition thermal path vector and channel mask vector with the adjacent insulation zone; in, This indicates the current insulation zone number. Indicates the sequence number of adjacent insulation zones. Indicates the first The insulation zone and the first The adjacency weights between adjacent insulation zones; the adjacency weights are the dimensionless weights of the shared contact boundary between two adjacent insulation zones for information exchange, with the first... The insulation zone and the first The length of the shared contact boundary of the adjacent insulation zones, divided by the length of the first zone. The length of the shared contact boundary of each insulation zone and all its adjacent insulation zones is obtained; the adjacency weights of the same current insulation zone are all non-negative and their sum is 1; when the current insulation zone has no adjacent insulation zones, only the input of the current insulation zone itself is used.

[0024] Step S203: Based on whether each source data packet arrives at the current sampling time, generate a channel mask vector for each component. Take one for the component that receives the source data and zero for the missing component. in, Indicates the sequence number of the sampling time. Indicates the first The insulation zone is in the first The channel mask vector at each sampling time; the channel mask vector records the available status of the source data in the order of the components of core temperature, surface temperature, felt outside temperature and surface heat flow in the partitioned thermal path vector; the ambient temperature is used to form the first three temperature difference components, and when the ambient temperature is missing, the first three components are all zero.

[0025] A source data message is considered to have arrived validly if it simultaneously meets the following conditions: the partition identifier is correct, the channel identifier is correct, the sampling timestamp belongs to the current sampling window, the value is within the effective range of the sensor, and the check code is correct. Duplicate messages in the same channel are only retained as the latest valid record that passes the check and has the same sampling timestamp. Historical retransmission messages that arrive after the control cycle ends are written into the history record without changing the already generated channel mask vector.

[0026] Missing components are placed as zero values ​​before the input image completion module 130. Missing zero values ​​are only used in conjunction with the channel mask vector and are not used as actual measurement values ​​in the interpretation. When the measurement value is equal to zero after normalization, the corresponding mask component is still taken as one, thus distinguishing between the actual normalized zero value and the missing zero value.

[0027] Step S204: Generate zoned thermal path vectors based on the differences between the core temperature and the ambient temperature, the surface temperature and the ambient temperature, the outer temperature of the felt and the ambient temperature, and the surface heat flow. Normalize the three temperature differences and the surface heat flow using the temperature scale coefficient and the heat flow coefficient, respectively.

[0028] Specifically, the formula for calculating the partitioned hot path vector is as follows: ; in, Indicates the first The insulation zone is in the first The partition thermal path vector at each sampling time is a four-component dimensionless vector composed of three temperature differences and surface heat flux after being normalized sequentially. This indicates the corresponding core temperature. This indicates the corresponding surface temperature. This indicates the corresponding external temperature of the felt. Indicates the first The uniform ambient temperature at each sampling time. This indicates the corresponding surface heat flow.

[0029] The temperature scale coefficient is a positive value that is not less than the upper limit of the effective temperature difference, determined based on the calibration certificate of the temperature sensor and the expected temperature difference range of the project. The heat flux coefficient is a positive value, not less than the upper limit of the absolute value of the effective heat flux, determined based on the calibration certificate of the heat flux sensor and the expected heat flux range of the project; superscript This indicates the vector transpose; the temperature scale coefficient and heat flux coefficient remain the same version during model training, validation, and field operation.

[0030] Example 3 The graph completion module 130 is executed according to the following steps: Step S301: Use the complete multi-zone maintenance sequence of the project test section and the artificial masking sample calibration map convolution matrix that is consistent with the early packet loss pattern on site, and solidify the map convolution matrix after verification; The graph convolution matrix is ​​learned during the calibration phase and fixed during the field operation phase. A matrix is ​​used to map an eight-component input consisting of four received thermal path components and four channel mask components into a four-component aggregation result. This indicates a fixed activation function. In this embodiment, the hyperbolic tangent function is used to make the output range match the normalized partitioned hot path vector.

[0031] The project's test section has a complete multi-zone maintenance sequence covering the hydration heating, temperature peak and cooling stages, and includes responses under different coverage conditions. After completing sensor calibration correction, unit unification, time alignment and outlier verification, the training sequence, verification sequence and test sequence are divided according to continuous time periods to avoid the same temperature process from entering the training sequence and verification sequence at the same time.

[0032] Artificially masked samples are generated according to the channel types, continuous period lengths, number of simultaneously missing partitions, and available status of adjacent partitions in the actual packet loss of the test segment. These samples include single-channel missing, multiple consecutive missing channels in the same partition, and overlapping missing of multiple adjacent partitions. The true values ​​of the artificially masked positions in the complete sequence are used as the supervision targets. The training loss is calculated only based on the mean square error between the recovered values ​​of the artificially masked positions and the supervision targets. After each round of training, the recovery errors of the four output channels in the verification sequence are checked. After the verification errors meet the allowable errors of temperature and heat flux specified in the special temperature control scheme, the test sequence is used to verify and solidify the corresponding versions of the graph convolution matrix, temperature scale coefficient, heat flux coefficient, node table, and graph edge table.

[0033] Step S302: Concatenate the thermal path vectors of the current insulation zone and the adjacent insulation zones with the channel mask vectors respectively, and generate the aggregated thermal path vector using graph convolution matrix and adjacency weights. Specifically, the formula for calculating the aggregation heat path vector is as follows: ; in, Indicates the first The insulation zone is in the first The aggregated thermal path vector at each sampling time; Indicates the first The set of adjacent insulation zones of each insulation zone; and They represent the first The adjacent insulation zones in the first The partition hotpath vector and channel mask vector at each sampling time.

[0034] This represents a component-wise product, used to mask missing components before matrix mapping; This represents vector concatenation; the current insulation zone and each adjacent insulation zone use the same component order and graph convolution matrix, and the mapping results of adjacent insulation zones are converged according to the adjacency weights corresponding to the current insulation zone.

[0035] Step S303: Replace the missing component with the aggregated thermal path vector and retain the measured component to obtain the complete thermal path vector; Specifically, the formula for calculating the complete thermal path vector is as follows: ; in, Indicates the first The insulation zone is in the first The completed thermal path vector at each sampling time. This represents a vector where all components are one; when the corresponding component of the channel mask vector is one, the hot path vector is completed and the same-order measured component of the partition hot path vector is copied; when the corresponding component of the channel mask vector is zero, the hot path vector is completed and the same-order component of the aggregated hot path vector is copied; the effective measured component is not covered by the aggregated hot path vector.

[0036] When a corresponding channel of the current insulation zone and all its adjacent insulation zones is missing at the same time, the channel is marked as missing in the entire neighborhood; the corresponding model output is only used for fault diagnosis recording and is not used for insulation command calculation. The action execution module 150 maintains the coverage status confirmed by the location feedback the most recent time and generates a communication fault alarm.

[0037] Step S304: Perform engineering quantity restoration, and restore the completed thermal path vector to the completed core temperature, completed surface temperature, completed felt temperature and completed heat flux based on the ambient temperature, temperature scale coefficient and heat flux coefficient.

[0038] Specifically, the calculation formulas for the complete core temperature, complete surface temperature, complete felt temperature, and complete heat flux are as follows: ; in, Indicates the first The insulation zone is in the first The completed kernel temperature at each sampling time. This indicates the corresponding complete temperature reading. Indicates the corresponding complete felt temperature. This indicates the corresponding complete heat flux.

[0039] , , and The first, second, third, and fourth components of the completed thermal path vector are represented sequentially. The first, second, and third components are multiplied by the temperature scale coefficient and then added to the uniform ambient temperature. The fourth component is multiplied by the heat flux coefficient. The order of the components is not changed during the restoration process.

[0040] After the engineering quantity is restored, the effective range of the sensor and the continuity of change are checked. The restoration results that exceed the effective range are marked as unusable. When the uniform ambient temperature is missing, the engineering quantity restoration of the first three temperature quantities is not performed, and it is handled in accordance with the full neighborhood missing protection method.

[0041] It should be noted that adjacent insulation zones share the continuous contact boundary of the concrete surface. Under the same conditions of material, age, and environmental effects, the temperature change and surface heat transfer change of each zone are spatially correlated. The channel mask vector distinguishes between effective measured components, true normalized zero values, and missing occupant zero values. The graph convolution calculation only gathers adjacent insulation zones that share the true contact boundary and adjusts the contribution of each adjacent insulation zone according to the adjacency weight. The artificial masking training enables the graph convolution matrix to recover the masked components based on the remaining thermal path components and the state of adjacent insulation zones. The component-by-component selection process forces the retention of effective measured components, thereby forming a verifiable zone thermal state input when some sensing channels are continuously missing, while reducing the substitution of effective field measurements by model estimation.

[0042] Example 4 The instruction generation module 140 performs the following steps: Step S401: Generate the inner and outer surface temperature difference based on the absolute difference between the complete core temperature and the complete surface temperature; Specifically, the formula for calculating the temperature difference between the inner and outer surfaces is as follows: ; in, Indicates the first The insulation zone is in the first The temperature difference between the inside and the surface at each sampling time, in degrees Celsius, is used to characterize the temperature difference between the inside and the surface of the current insulation zone. Before calculation, the zone identifier and sampling timestamp corresponding to the complete core temperature and complete surface temperature are checked and verified, and it is confirmed that the corresponding channel is not in a state of full neighborhood missing.

[0043] Step S402: Generate a cooling rate based on the difference in the completed core temperature between adjacent sampling times and the sampling time interval, wherein the core temperature decreases in the positive direction with time. Specifically, the formula for calculating the cooling rate is as follows: ; in, Indicates the first The insulation zone is in the first The cooling rate at each sampling time. Indicates the first The complete nuclear temperature of each insulation zone at the previous sampling time. This indicates the sampling time interval between two adjacent actual sampling times; the previous sampling time and the current sampling time belong to the same insulation zone, and both sampling times have passed the time reference validity check; if the sampling time interval is abnormal, the previous sampling time record is missing, or the controller has just completed a restart, the cooling rate will not be updated in this control cycle, and the time reference abnormality will be recorded.

[0044] Step S403: Determine the temperature difference limit according to the approved special temperature control plan, structural dimensions and constraints, and determine the cooling limit according to the special temperature control plan and the allowable cooling curve of the project test section; The temperature difference limit is the allowable surface-to-interior temperature difference boundary determined by a specific temperature control scheme in combination with structural dimensions, constraints, material properties, and construction stages. The cooling limit is the allowable cooling rate boundary determined by the specific temperature control scheme and the allowable cooling curve of the project test section. The control system saves the parameter version, applicable zone, applicable age and approval status of the two limits. When entering a new construction stage, the corresponding parameters are loaded according to the confirmed age identifier. Automatic heat preservation action is not executed when parameters are missing, parameter version verification fails or approval status is invalid.

[0045] Step S404: Generate a heat preservation command based on the combined relationship between the temperature difference between the inner and outer surfaces and the temperature difference limit, the cooling rate and the cooling limit, the difference between the supplementary felt temperature and the ambient temperature, and the supplementary heat flow. Specifically, the formula for calculating the insulation instruction is as follows: ; in, Indicates the first The insulation zone is in the first Temperature preservation instructions at each sampling time. The sign function is used to represent the temperature difference between the inner and outer surfaces and the temperature difference limit. The difference between the cooling rate and the cooling limit is adjusted according to the temperature scale coefficient. The difference between the cooling rate and the cooling limit is adjusted according to the rate scale formed by the temperature scale coefficient and the sampling time interval. The difference between the supplementary felt temperature and the uniform ambient temperature is adjusted according to the temperature scale coefficient. The supplementary heat flux is adjusted according to the heat flux coefficient. After the four items are added together, the sign function outputs a three-state heat preservation command based on the positive, zero, or negative value of the total value. If any input exceeds the effective range of the sensor, is in a state of full neighborhood missing, or fails the time reference validity check, the joint judgment will not be executed.

[0046] Step S405: The positive, zero, and negative values ​​of the insulation command are respectively determined as adding a standard insulation module, maintaining the current coverage, and removing a standard insulation module.

[0047] A standard insulation module is a rollable insulation unit with uniform area, thickness, material, and thermal resistance rating. Each zone roll-up mechanism records the current coverage status according to the coverage level. In one control cycle, only one action is executed: adding a standard insulation module, maintaining the current coverage, or removing a standard insulation module. When the direction of the new action is opposite to the direction of the action in the previous control cycle, the position feedback of the previous action is checked first and the current input is confirmed to be valid before the new action is issued.

[0048] It should be noted that the surface temperature difference and cooling rate reflect the current spatial temperature difference and temperature change over time, respectively. The difference between the complete felt temperature and the uniform ambient temperature reflects the thermal state of the outer side of the insulation layer, and the complete heat flow reflects the direction and magnitude of heat transfer from the partition surface to the environment. After the four items are converted into dimensionless quantities according to the corresponding engineering scale, they are jointly judged so that the engineering quantities with the same name recovered when some channels are missing still participate in the calculation according to the same judgment relationship. Only one standard insulation module is changed in each control cycle, so that the three-state output corresponds to the discrete execution capability of the partition roll-up mechanism, and reduces the possibility of continuous reverse action caused by abnormal data or short-term fluctuations.

[0049] Example 5 Action execution module 150 executes the following steps: Step S501: Control the partitioned winding mechanism to add, maintain, or remove the standard insulation module according to the insulation instruction within one control cycle; After verifying the partition identifier, partition roll-up mechanism address, current coverage level, and target action, the controller issues a single action command. The partition roll-up mechanism provides feedback on its actual position through limit switches, encoders, or travel sensors. The controller only confirms the action is complete when the actual position matches the target position. If no valid position feedback is received within the allowed action time, the drive is stopped and a mechanism fault alarm is generated. The controller does not record the incomplete action or immediately execute a new action in the opposite direction.

[0050] Step S502: After the action is completed, start the next sampling cycle; The next sampling cycle is triggered by a unified sampling clock, and the newly acquired data and the just completed coverage status are written into the same cycle record; data validity checks, heat path construction, graph completion, engineering quantity recovery, insulation command generation, and action confirmation all use the same partition identifier and sampling time identifier; multiple insulation partitions can be acquired and calculated in parallel, and the execution status of each insulation partition is saved separately, so that the acquired data, completion results, insulation commands, and partition roll-up mechanism remain consistent.

[0051] Step S503: When the corresponding channels of the current insulation zone and all adjacent insulation zones are missing at the same time, maintain the previous cycle action of the current insulation zone and generate a communication failure alarm.

[0052] The previous cycle action is the most recent completed and location-confirmed coverage status saved by the controller for the current insulation zone, including the actual position after covering, maintaining, or removing the cover, but excluding location commands that have been issued but not yet completed; the communication failure alarm is a fault status output generated when all corresponding channels in the neighborhood are missing at the same time, including the zone identifier, missing channel, first occurrence time, current duration cycle number, and previous cycle action.

[0053] When a corresponding channel of the current insulation zone and all its adjacent insulation zones is missing, the controller does not use the model estimation of that channel to drive the zone winding mechanism, but maintains the previous cycle action and continues to collect the status of the remaining channels and links; historical retransmission messages are only written into the historical record and are not used as the basis for automatic recovery determination; after at least one corresponding channel at the current sampling time is recovered and passes the checks of zone identifier, channel identifier, sampling timestamp, effective range and check code, the graph completion and insulation command calculation are re-executed.

[0054] It should be noted that, as Figure 2 As shown, this system can be applied to the construction of large-volume concrete structures such as foundation caps, foundation slabs, thick walls, and large equipment foundations. During the construction preparation phase, insulation zones are divided according to the service range of the rollable insulation units. Shared contact boundaries are verified, and core measuring points, surface measuring points, felt-out measuring points, environmental measuring points, and surface heat flow measuring points are installed. Complete curing sequences are continuously collected in the test section. The system constructs artificially shielded samples based on on-site packet loss records, completes the training, verification, and solidification of the graph convolution matrix, and simultaneously provides temperature difference limits and cooling limits from an approved specialized temperature control scheme. During on-site deployment, the acquisition terminals are set up near the zones, and the monitoring terminals centrally store model versions, threshold versions, original messages, completion records, and mechanism feedback. During the joint debugging phase, sensor polarity, zone mapping, graph-edge relationships, and roll-up / unrolling strokes are checked sequentially to confirm that each data channel is consistent with the actual execution object. After the formal pouring, data is collected from each zone according to a unified clock. When individual channels are missing due to vibration, cable disturbance, or wireless attenuation, the system retains the remaining measured components and restores the missing quantities, generating the corresponding zone's cover, maintain, or remove actions. The zone's roll-up mechanism completes its action and returns to its position, and the system enters the next sampling cycle. If the same type of channel in the current zone and all adjacent zones are simultaneously missing, the confirmed coverage status is maintained and maintenance personnel are notified to check the link. Automatic judgment will only resume after the current cycle's observations have restored the coverage.

[0055] This invention provides a multi-parameter acquisition and monitoring method for intelligent thermal insulation of large-volume concrete, such as... Figure 3 As shown, it includes the following steps: Step S1: Collect the core temperature, surface temperature, felt outside temperature, ambient temperature and surface heat flow at the same sampling time according to the independently driveable heat preservation zones, and save the sampling time interval. Step S2: Using the thermal insulation zone as nodes and the shared contact boundary as graph edges, generate adjacency weights, zone thermal path vectors, and channel mask vectors. Step S3: Generate a complete thermal path vector based on the graph convolution matrix, the partition thermal path vector of the current thermal insulation zone and the adjacent thermal insulation zones, the channel mask vector and the adjacency weight, and restore the complete core temperature, complete surface temperature, complete felt temperature and complete heat flux. Step S4: Generate a heat preservation command based on the complete core temperature, complete surface temperature, complete felt temperature, complete heat flux, ambient temperature, sampling time interval, temperature difference limit, and cooling limit; Step S5: Drive the partition roll-up mechanism to cover, maintain, or remove the standard insulation module according to the insulation command, and trigger the next sampling cycle.

[0056] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, it implements the multi-parameter acquisition and monitoring method for intelligent thermal insulation of large-volume concrete shown in the above embodiments.

[0057] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete, characterized in that, The system includes: The zone synchronous acquisition module is used to acquire core temperature, surface temperature, felt outside temperature, ambient temperature and surface heat flow at the same sampling time according to independently driveable insulation zones, and save the sampling time interval; The thermal path map construction module is used to generate adjacency weights, zone thermal path vectors, and channel mask vectors, with insulation zones as nodes and shared contact boundaries as graph edges. The graph completion module is used to generate a completed thermal path vector based on the graph convolution matrix, the partition thermal path vector of the current insulation zone and the adjacent insulation zones, the channel mask vector, and the adjacency weight, and to restore the completed core temperature, completed surface temperature, completed felt temperature, and completed heat flux. The instruction generation module is used to generate heat preservation instructions based on the complete core temperature, complete surface temperature, complete felt temperature, complete heat flux, ambient temperature, sampling time interval, temperature difference limit, and cooling limit. The action execution module is used to drive the partition roll-up mechanism to add, maintain, or remove the standard insulation module according to the insulation command, and to trigger the next sampling cycle.

2. The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to claim 1, characterized in that, The partition synchronization acquisition module is configured to execute: Core measuring points, surface measuring points, felt-out measuring points, environmental measuring points, and surface heat flow measuring points are arranged according to the insulation zones. Among them, the core measuring points are located inside the zones, the surface measuring points are located below the concrete surface, the felt-out measuring points are located on the outer surface of the insulation felt, and the environmental measuring points are located in the shaded and ventilated positions. The surface heat flow is positively correlated with the direction of heat transfer to the environment. Core temperature, surface temperature, felt-out temperature, ambient temperature, and surface heat flow are generated at the same sampling time. The sampling time interval is generated by the difference between two adjacent actual sampling times.

3. The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to claim 1, characterized in that, The generation of adjacency weights in the heatmap construction module includes: Using thermal insulation zones as nodes, and the connection between two thermal insulation zones with a shared contact boundary as graph edges; adjacency weights are generated by normalization based on the shared contact boundary, so that each thermal insulation zone only exchanges the zone thermal path vector and channel mask vector with its adjacent thermal insulation zone.

4. The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to claim 1, characterized in that, The generation of partitioned hotpath vectors and channel mask vectors in the heatmap construction module includes: Based on the differences between the core temperature and ambient temperature, the surface temperature and ambient temperature, the outer temperature of the felt and ambient temperature, and the surface heat flow, a zoned thermal path vector is generated. The three temperature differences and the surface heat flow are normalized using the temperature scale coefficient and the heat flow coefficient, respectively. Based on whether each source data packet arrives at the current sampling time, a channel mask vector is generated for each component. Components that receive source data are assigned a value of 1, and missing components are assigned a value of 0.

5. The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to claim 1, characterized in that, The generation of aggregated thermal path vectors and completed thermal path vectors in the graph completion module includes: The thermal path vectors of the current insulation zone and the adjacent insulation zones are concatenated with the channel mask vectors respectively, and the aggregated thermal path vector is generated by using graph convolution matrix and adjacency weights. The missing components are replaced with aggregated thermal path vectors while retaining the measured components to obtain the complete thermal path vector; the graph convolution matrix is ​​calibrated and solidified by the complete multi-zone maintenance sequence of the project test section and the artificially masked sample consistent with the early packet loss pattern on site.

6. The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to claim 1, characterized in that, The quantity recovery in the graph completion module includes: Based on the ambient temperature, temperature scale coefficient, and heat flux coefficient, the first, second, third, and fourth components of the completed thermal path vector are sequentially restored to the completed core temperature, completed surface temperature, completed felt temperature, and completed heat flux.

7. The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to claim 1, characterized in that, The instruction generation module is configured to execute: The inner and outer surface temperature difference is generated based on the absolute difference between the complete core temperature and the complete surface temperature; the cooling rate is generated based on the difference between the complete core temperatures at adjacent sampling times and the sampling interval, wherein the core temperature decreases in the positive direction over time; the temperature difference limit is determined according to the approved special temperature control scheme, structural dimensions and constraints, and the cooling limit is determined according to the special temperature control scheme and the allowable cooling curve of the project test section. Insulation instructions are generated based on the combined relationship between the temperature difference between the inner and outer surfaces relative to the temperature difference limit, the cooling rate relative to the cooling limit, the difference between the supplementary felt temperature and the ambient temperature, and the supplementary heat flow. The positive, zero, and negative values ​​of the insulation command are respectively defined as adding a standard insulation module, maintaining the current coverage, and removing a standard insulation module.

8. The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to claim 1, characterized in that, The action execution module is configured to execute: Within one control cycle, the control zone winding mechanism adds, maintains, or removes the standard insulation module according to the insulation command; after the action is completed, the next sampling cycle is started; When the corresponding channels of the current insulation zone and all adjacent insulation zones are simultaneously missing, the operation of the previous cycle of the current insulation zone is maintained and a communication failure alarm is generated.

9. A multi-parameter acquisition and monitoring method for intelligent thermal insulation of large-volume concrete, characterized in that, The multi-parameter acquisition and monitoring system for intelligent thermal insulation of large-volume concrete according to any one of claims 1 to 8 includes the following steps: Step S1: Collect the core temperature, surface temperature, felt outside temperature, ambient temperature and surface heat flow at the same sampling time according to the independently driveable heat preservation zones, and save the sampling time interval. Step S2: Using the thermal insulation zone as nodes and the shared contact boundary as graph edges, generate adjacency weights, zone thermal path vectors, and channel mask vectors. Step S3: Generate a complete thermal path vector based on the graph convolution matrix, the partition thermal path vector of the current thermal insulation zone and the adjacent thermal insulation zones, the channel mask vector and the adjacency weight, and restore the complete core temperature, complete surface temperature, complete felt temperature and complete heat flux. Step S4: Generate a heat preservation command based on the complete core temperature, complete surface temperature, complete felt temperature, complete heat flux, ambient temperature, sampling time interval, temperature difference limit, and cooling limit; Step S5: Drive the partition roll-up mechanism to cover, maintain, or remove the standard insulation module according to the insulation command, and trigger the next sampling cycle.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions, which are used to cause the computer to execute the multi-parameter acquisition and monitoring method for intelligent thermal insulation of large-volume concrete according to any one of claims 1 to 8.

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