Data processing method for sludge drying based on frequency conversion microwave and hot air cooperation

Abstract

The present application relates to the field of sludge state monitoring and data scheduling technology of variable frequency microwave and hot air combined processing, especially to a sludge drying data processing method based on variable frequency microwave and hot air cooperation, comprising synchronously acquiring microwave frequency, hot air temperature and fluid state monitoring data of variable frequency microwave heating nodes and hot air heating nodes, and performing timestamp alignment according to time dimension to output structured time synchronization data table. Then, sludge moisture content characteristic data is extracted from the table, and when the value falls into the preset plastic stage numerical interval, the corresponding microwave frequency and hot air temperature node sequence is selected. Then, the primary and foreign key association is established in the preset relational mapping database, the composite data mapping index is calculated and injected into the internal bus data transmission channel. Finally, the control end extracts the index in the channel and generates a cooperative scheduling instruction, which is issued to each heating node to execute heating operation, effectively eliminating the bus data flow conversion blockage and instruction delay problem.

Description

Technical Field

[0001] This invention relates to the field of sludge condition monitoring and data scheduling technology based on the combined treatment of variable frequency microwave and hot air, and particularly to a sludge drying data processing method based on the synergy of variable frequency microwave and hot air. Background Technology

[0002] Because sludge aggregates generally have a high internal moisture content, the core purpose of drying treatment is to effectively reduce moisture. When the moisture content is between 40% and 60%, the sludge enters the plastic stage, exhibiting a gel-like state and displaying extremely strong adhesion in its surface fluid properties. To improve dewatering efficiency, modern sludge dewatering processes incorporate variable frequency microwave and hot air co-heating technology. During co-heating, the control equipment needs to acquire real-time status change data, synchronously collecting microwave frequency monitoring data and hot air temperature monitoring data from external sensors, ultimately combining them to form multi-source heterogeneous monitoring data.

[0003] When analyzing data streams generated by different sensors, existing data processing platforms typically use independent channels for processing, lacking a correlation mapping mechanism for multi-source heterogeneous monitoring data during the sludge plasticization stage. This lack of mapping leads to congestion in the underlying data flow, resulting in delays in control command issuance. The absence of a correlation mapping mechanism directly causes data transmission stagnation on the control platform's internal bus, leading to the failure of equipment control command scheduling and a significant decrease in collaborative processing efficiency. Therefore, there is an urgent need for an improved data processing method to completely eliminate data flow congestion at the control end. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a sludge drying data processing method based on the synergy of variable frequency microwave and hot air. This invention solves the technical problems caused by the lack of correlation mapping processing for multi-source heterogeneous monitoring data during the sludge plasticization stage, resulting in blockage of underlying data flow and delay in the issuance of control commands.

[0005] To solve the above-mentioned technical problems, the specific contents of the present invention are as follows: The sludge drying data processing method based on the synergy of variable frequency microwave and hot air provided by this invention includes: Acquire microwave frequency monitoring data inside the variable frequency microwave heating node, and simultaneously collect hot air temperature monitoring data and fluid state monitoring data inside the hot air heating node; The microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data are timestamped according to the time dimension to output a structured time synchronization data table; sludge moisture content feature data are extracted from the fluid state monitoring data in the structured time synchronization data table. When the sludge moisture content characteristic data is within the preset plastic stage value range, microwave frequency node sequence and hot air temperature node sequence corresponding to the preset plastic stage value range are selected from the structured time synchronization data table. Establish a microwave frequency primary key and a hot air temperature foreign key in a preset relational mapping database; write the microwave frequency node sequence into the microwave frequency primary key and the hot air temperature node sequence into the hot air temperature foreign key; calculate a composite data mapping index according to the mapping logic of the microwave frequency primary key and the hot air temperature foreign key; inject the composite data mapping index into the internal bus data transmission channel; The composite data mapping index in the internal bus data transmission channel is read, and a collaborative scheduling instruction is generated based on the composite data mapping index. The collaborative scheduling instruction is then sent to the frequency conversion microwave heating node and the hot air heating node through the internal bus data transmission channel to perform synchronous heating operation.

[0006] Furthermore, the sludge drying data processing method based on the synergy of variable frequency microwave and hot air described in this invention performs timestamp alignment on the microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data according to the time dimension, and outputs a structured time synchronization data table, including: Add timestamps to the microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data according to a preset time reference. The time deviation between the microwave frequency monitoring data and the hot air temperature monitoring data is determined by comparing the timestamp marks. When the time deviation exceeds a preset deviation threshold, redundant sampling point data exceeding the preset deviation threshold are cleared; The microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data, after clearing the redundant sampling point data, are arranged according to the order of the timestamps, and the structured time synchronization data table is output.

[0007] Furthermore, the sludge drying data processing method based on the synergy of frequency conversion microwave and hot air described in this invention extracts sludge moisture content characteristic data from the fluid state monitoring data in the structured time synchronization data table, including: Extract the fluid state monitoring data from the structured time synchronization data table; The moisture content characteristic data of the sludge is obtained by converting the fluid state monitoring data into moisture percentage. The sludge moisture content characteristic data are compared with the preset plasticity stage numerical range; When the comparison result falls within the preset plasticity stage value range, a plasticity stage status identifier is added to the structured time synchronization data table. Data records for the corresponding time period are extracted based on the plastic stage status identifier.

[0008] Furthermore, the sludge drying data processing method based on the synergy of variable frequency microwave and hot air described in this invention, wherein the microwave frequency node sequence and hot air temperature node sequence corresponding to the preset plastic stage numerical range are selected from the structured time synchronization data table, including: Separate the microwave frequency monitoring data and the hot air temperature monitoring data with the timestamp mark from the data records of the corresponding time period; The microwave frequency monitoring data is arranged into a microwave frequency node sequence according to the order of acquisition time. The hot air temperature monitoring data are arranged in chronological order of collection time to form the hot air temperature node sequence; Add a thermal conductivity reference temperature limit identifier that is within a preset temperature range to the hot air temperature node sequence.

[0009] Furthermore, the sludge drying data processing method based on the synergy of variable frequency microwave and hot air described in this invention establishes a microwave frequency primary key and a hot air temperature foreign key in a preset relational mapping database, including: Allocate storage areas in the storage space according to a star network topology; Establish the relational mapping database in the storage area; Radio frequency band status parameters are extracted from the microwave frequency node sequence, and heat transfer oil circulation temperature parameters are extracted from the hot air temperature node sequence. In the relational mapping database, the radio frequency band status parameter is set as the microwave frequency primary key; The heat transfer oil circulation temperature parameter is synchronously set as the hot air temperature foreign key in the relational mapping database.

[0010] Furthermore, the sludge drying data processing method based on the synergy of variable frequency microwave and hot air according to the present invention includes writing the microwave frequency node sequence into the microwave frequency primary key and writing the hot air temperature node sequence into the hot air temperature foreign key, comprising: Send a data write request; Parse the data write request and insert the microwave frequency node sequence one by one into the first field corresponding to the microwave frequency primary key; The data write request is parsed, and the hot air temperature node sequence is filled into the second field corresponding to the hot air temperature foreign key one by one.

[0011] Furthermore, the sludge drying data processing method based on the synergy of variable frequency microwave and hot air described in this invention calculates a composite data mapping index according to the mapping logic between the microwave frequency primary key and the hot air temperature foreign key, including: Read the association relationship between the first field and the second field, and establish an association mapping function; The association mapping function is substituted into the preset hash calculation rules to perform hash calculation and obtain the hash value characteristics; The hash value feature is set as the composite data mapping index.

[0012] Furthermore, the sludge drying data processing method based on the synergy of frequency conversion microwave and hot air described in this invention injects the composite data mapping index into the internal bus data transmission channel, including: An entry buffer address area is defined at the access end of the internal bus data transmission channel; The composite data mapping index is transferred to the entry buffer address area; The composite data mapping index is format-converted in the ingress buffer address area to generate the composite data mapping index in a preset standard data frame format; The composite data mapping index, which is in the preset standard data frame format, is injected into the internal bus data transmission channel.

[0013] Furthermore, the sludge drying data processing method based on the synergy of frequency conversion microwave and hot air described in this invention reads the composite data mapping index within the internal bus data transmission channel and generates a collaborative scheduling instruction based on the composite data mapping index, including: Send a data read request signal to the storage address allocation node; The composite data mapping index within the internal bus data transmission channel is extracted using the data read request signal. Perform reverse parsing on the composite data mapping index to obtain the reverse parsing result; Based on the reverse analysis results, extract the dynamic adjustment parameters of microwave power and the dynamic adjustment parameters of hot air velocity. The microwave power dynamic adjustment parameter and the hot air flow rate dynamic adjustment parameter are combined to form the coordinated scheduling command.

[0014] Furthermore, the sludge drying data processing method based on variable frequency microwave and hot air synergy described in this invention, through the internal bus data transmission channel, sends the synergistic scheduling command to the variable frequency microwave heating node and the hot air heating node to perform synchronous heating operation, including: Extract the microwave power dynamic adjustment parameter and the hot air flow rate dynamic adjustment parameter from the collaborative scheduling instruction; The microwave power dynamic adjustment parameters and the hot air flow rate dynamic adjustment parameters are grouped into instruction configuration data, and the instruction configuration data is loaded into the instruction output channel; The microwave power dynamic adjustment parameter is sent to the frequency conversion microwave heating node through the command output channel. The frequency conversion microwave heating node receives the microwave power dynamic adjustment parameter and adjusts the radio frequency radiation power in response to the microwave power dynamic adjustment parameter. The hot air velocity dynamic adjustment parameter is sent to the hot air heating node through the instruction output channel. The hot air heating node receives the hot air velocity dynamic adjustment parameter and adjusts the hot air blowing velocity in response to the hot air velocity dynamic adjustment parameter.

[0015] Beneficial effects of this invention: The sludge drying data processing method based on the synergy of variable frequency microwave and hot air provided by this invention performs timestamp alignment on microwave frequency monitoring data, hot air temperature monitoring data, and fluid state monitoring data according to the time dimension, outputting a structured time-synchronized data table. It then extracts sludge moisture content characteristic data from this table, and further filters out microwave frequency node sequences and hot air temperature node sequences corresponding to preset plasticity stage numerical intervals. The system establishes a microwave frequency primary key and a hot air temperature foreign key in a preset relational mapping database, writing the microwave frequency node sequences and hot air temperature node sequences into the microwave frequency primary key and hot air temperature foreign key, respectively. Through the coordinated action of timestamp alignment and relational mapping database construction, a composite data mapping index is calculated based on the mapping logic of the microwave frequency primary key and hot air temperature foreign key. This composite data mapping index is then injected into the internal bus data transmission channel of the processing center, transforming multi-dimensional independent monitoring data into a single mapping index for flow. This single mapping index flow mode overcomes the technical defect of existing data processing platforms where the lack of an associated mapping mechanism leads to data transmission stagnation on the internal bus. The instruction generation end reads the composite data mapping index in the internal bus data transmission channel of the processing center, generates a collaborative scheduling instruction, and sends the collaborative scheduling instruction to the frequency conversion microwave heating node and the hot air heating node through the internal bus data transmission channel of the processing center to perform synchronous heating operation. Ultimately, this achieves the technical effect of eliminating the delay in the issuance of control instructions and improving the efficiency of multi-source heterogeneous data scheduling and processing. Attached Figure Description

[0016] To more clearly illustrate the technical solution of the present invention, the accompanying drawings used in the embodiments will be briefly introduced below. Obviously, those skilled in the art can obtain other drawings based on the accompanying drawings without creative effort.

[0017] Figure 1This is a schematic diagram of the sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to the present invention. Detailed Implementation

[0018] To make the technical solution of the present invention clearer, the present invention will be clearly and completely described below with reference to specific embodiments and corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present invention, and not all of them. 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.

[0019] Please see Figure 1 The present invention provides a sludge drying data processing method based on the synergy of frequency conversion microwave and hot air, comprising: Step 1: Obtain microwave frequency monitoring data inside the variable frequency microwave heating node, and simultaneously collect hot air temperature monitoring data and fluid state monitoring data inside the hot air heating node. Step 2: Timestamp align the microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data according to the time dimension, and output a structured time synchronization data table; extract sludge moisture content feature data from the fluid state monitoring data in the structured time synchronization data table; Step 3: When the sludge moisture content characteristic data is within the preset plastic stage value range, the microwave frequency node sequence and hot air temperature node sequence corresponding to the preset plastic stage value range are selected from the structured time synchronization data table. Step 4: Establish a microwave frequency primary key and a hot air temperature foreign key in a preset relational mapping database; write the microwave frequency node sequence into the microwave frequency primary key and the hot air temperature node sequence into the hot air temperature foreign key; calculate a composite data mapping index based on the mapping logic of the microwave frequency primary key and the hot air temperature foreign key; inject the composite data mapping index into the internal bus data transmission channel. Step 5: Read the composite data mapping index in the internal bus data transmission channel, generate a collaborative scheduling instruction based on the composite data mapping index, and send the collaborative scheduling instruction to the frequency conversion microwave heating node and the hot air heating node through the internal bus data transmission channel to perform synchronous heating operation.

[0020] In a specific implementation of the sludge drying data processing method based on the synergy of variable frequency microwave and hot air, a sensor network is first connected to both the variable frequency microwave heating node and the hot air heating node. The sensor network acquires microwave frequency monitoring data inside the cavity of the variable frequency microwave heating node, and simultaneously collects hot air temperature monitoring data and fluid state monitoring data inside the heat-conducting structure of the hot air heating node. This synchronous acquisition ensures that all monitoring data have the same time reference input. The microwave frequency monitoring data reflects the emission state of the microwave source, the hot air temperature monitoring data reflects the output temperature of the hot air purging device, and the fluid state monitoring data includes information on the resistivity and viscosity coefficient of the sludge.

[0021] During time alignment, the control center adds timestamps to the microwave frequency monitoring data, hot air temperature monitoring data, and fluid state monitoring data according to a preset time reference. Comparing these timestamps determines the time deviation between the microwave frequency monitoring data and the hot air temperature monitoring data, thus characterizing the delay differences in signals acquired by different sensors. When the time deviation exceeds a preset deviation threshold, the system identifies the data points exceeding this threshold as redundant sampling points. The data cleaning program then removes the redundant sampling points exceeding the preset deviation threshold and sorts the microwave frequency monitoring data, hot air temperature monitoring data, and fluid state monitoring data after removing the redundant sampling points according to the order of the timestamps, ultimately outputting a structured time synchronization data table as the input data source for subsequent feature extraction.

[0022] The extraction of fluid state characteristic data is based on the structured time-synchronized data table. The analysis node uses a preset moisture impedance conversion model to convert the moisture percentage of the fluid state monitoring data, obtaining sludge moisture content characteristic data. The comparison node compares the sludge moisture content characteristic data with a preset plastic stage value range, where the preset plastic stage value range is set to 60% to 40%. When the comparison result falls within the preset plastic stage value range, the system determines that the sludge has entered the adhesive phase state. The status identification node then adds a plastic stage status identification to the structured time-synchronized data table and extracts data records for the corresponding time period according to the plastic stage status identification.

[0023] During the sequence filtering and generation stage, the data separation node separates the microwave frequency monitoring data and the hot air temperature monitoring data with the timestamp from the data records of the corresponding time period. The microwave frequency monitoring data is arranged vertically according to the order of acquisition time to generate a microwave frequency node sequence; the hot air temperature monitoring data is also arranged vertically according to the order of acquisition time to generate a hot air temperature node sequence. The limiting identification node limits the thermal conductivity reference temperature associated with the hot air temperature node sequence to a preset temperature range, which is 220 degrees Celsius to 280 degrees Celsius, to constrain the upper limit of temperature adjustment for subsequent generated instructions.

[0024] The establishment of data mapping relationships relies on specially allocated storage areas. The system allocates these storage areas with a star network topology and establishes a relational mapping database within them. Feature analysis nodes extract radio frequency band status parameters from the microwave frequency node sequence and heat transfer oil circulation temperature parameters from the hot air temperature node sequence. In the relational mapping database, the radio frequency band status parameters are set as the microwave frequency primary key, and the heat transfer oil circulation temperature parameters are simultaneously set as the hot air temperature foreign key. This primary and foreign key setting eliminates channel isolation barriers between data with different attributes. The system then generates a data write request. By parsing the data write request, the microwave frequency node sequence is inserted one by one into the first field corresponding to the microwave frequency primary key, and the hot air temperature node sequence is filled one by one into the second field corresponding to the hot air temperature foreign key, completing the filling of the first and second fields and enabling multi-dimensional binding of frequency and temperature data.

[0025] The association mapping function is established based on the association relationship between the first field and the second field. This association mapping function characterizes the synergistic ratio between a specific microwave frequency and a specific hot air temperature. The computing node substitutes the association mapping function into a preset hash calculation rule to perform hash calculation, deriving a hash value feature, and directly sets this hash value feature as the composite data mapping index. To eliminate data flow lag, the bus controller allocates an entry buffer address area at the access end of the internal bus data transmission channel. The composite data mapping index is transmitted to this entry buffer address area, and within it, the protocol header encapsulation format is converted to generate the composite data mapping index in a preset standard data frame format. Finally, this composite data mapping index is injected into the internal bus data transmission channel, allowing it to circulate within the channel thanks to the preset standard data frame format.

[0026] The generation of coordinated scheduling instructions begins with signal interaction. The control terminal sends a data read request signal to the storage address allocation node, extracts the composite data mapping index within the internal bus data transmission channel based on the data read request signal, and performs a reverse parsing procedure on the composite data mapping index to obtain the reverse parsing result. The system extracts the microwave power dynamic adjustment parameters and the hot air flow rate dynamic adjustment parameters based on the reverse parsing result, and combines them into the coordinated scheduling instruction. In the instruction issuance and operation step, the system extracts the microwave power dynamic adjustment parameters and the hot air flow rate dynamic adjustment parameters from the coordinated scheduling instruction, groups them into instruction configuration data, and loads it into the instruction output channel. The command output channel sends the microwave power dynamic adjustment parameters to the frequency conversion microwave heating node, enabling the frequency conversion microwave heating node to receive and respond to the microwave power dynamic adjustment parameters to dynamically adjust the radio frequency radiation power. Simultaneously, the command output channel sends the hot air flow rate dynamic adjustment parameters to the hot air heating node, enabling the hot air heating node to receive and respond to the hot air flow rate dynamic adjustment parameters to dynamically adjust the hot air blowing flow rate. The processing loop can improve the correlation and matching efficiency of heterogeneous data and avoid delays caused by data transmission.

[0027] In the industrial setting of municipal sludge treatment, a sludge drying and granulation integrated vertical disc equipment is used to implement a sludge drying data processing method based on the synergy of frequency conversion microwave and hot air. The initial moisture content of the feed sludge is set at 80%, and the drying treatment target is to output dry powder granules with a moisture content of less than 25%.

[0028] The sensor network connects to the frequency conversion microwave heating node and the hot air heating node, acquiring microwave frequency monitoring data inside the cavity of the frequency conversion microwave heating node, and simultaneously collecting hot air temperature monitoring data and fluid state monitoring data inside the heat-conducting structure of the hot air heating node. The microwave frequency monitoring data specifically includes the radio frequency operating frequency emitted by the magnetron, the voltage standing wave ratio (VSWR), and the reflected power parameters; the hot air temperature monitoring data specifically includes the heat transfer oil circulation temperature parameters, the inlet temperature, and the outlet humidity; the fluid state monitoring data specifically includes the sludge dielectric constant, conductivity, and dynamic viscosity coefficient.

[0029] The control center adds timestamps to the microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data based on a preset time base of 10 milliseconds. At the same time, it clears redundant sampling point data caused by sensor response delays, and then outputs a structured time synchronization data table.

[0030] To determine the physical state of the sludge, the analysis node extracts the fluid state monitoring data from the structured time-synchronized data table and inputs the fluid state monitoring data, including dielectric constant and conductivity parameters, into a preset moisture impedance conversion model. When constructing the moisture impedance conversion model, sludge samples at different moisture content gradients are collected in advance, and the true moisture content and corresponding dielectric constant and conductivity values ​​of each sludge sample are measured to form multiple corresponding data pairs. The dielectric constant and conductivity values ​​are used as input sample vectors, and the true moisture content value is used as the output label value. Using a multilayer perceptron neural network architecture, the weights of network nodes are iteratively adjusted through a gradient descent algorithm until the model output error converges to the preset accuracy requirement, completing the model deployment. In actual operation, the moisture impedance conversion model receives the real-time collected fluid state monitoring data as input, performs nonlinear activation operations and matrix multiplication processing in the hidden layer, and finally outputs accurate sludge moisture content characteristic data in the output layer.

[0031] The state determination node acquires the sludge moisture content characteristic data and compares it with a preset plasticity stage value range, where the preset plasticity stage value range is set to 60% to 40%. When the sludge moisture content characteristic data decreases to 55% and falls within the preset plasticity stage value range, the system determines that the sludge has entered a gel-like phase state, forming scale on the surface of the drying disc. The marking node then adds a plasticity stage state identifier to the structured time synchronization data table and extracts data records for the corresponding time period according to the plasticity stage state identifier.

[0032] The extraction node separates the microwave frequency monitoring data and the hot air temperature monitoring data, both marked with the timestamp, from the extracted data records. To establish a data association, the control center configures a relational mapping database within its storage space, setting the extracted radio frequency operating frequency parameter as the microwave frequency primary key and simultaneously setting the heat transfer oil circulation temperature parameter as the hot air temperature foreign key. The computing node substitutes the microwave frequency primary key and the hot air temperature foreign key into a preset hash calculation rule to perform hash calculation; specifically, it combines the current time's radio frequency operating frequency parameter and the heat transfer oil circulation temperature parameter into a string input, uses the SHA-256 hash algorithm to compress and map the string, outputs a fixed-length 16-bit hexadecimal feature code, and sets the 16-bit hexadecimal feature code as a composite data mapping index.

[0033] The encapsulation node encapsulates the composite data mapping index into the payload area of ​​a standard CAN data frame and injects the composite data mapping index into the internal bus data transmission channel. By performing the transmission task with a single feature code, congestion caused by microwave data streams and hot air data streams competing for bandwidth within the internal bus data transmission channel can be avoided.

[0034] The control terminals of the frequency conversion microwave heating node and the hot air heating node extract the composite data mapping index from the internal bus data transmission channel based on the data read request signal, and perform a reverse parsing operation on the composite data mapping index. Then, by querying the locally stored instruction control dictionary, they generate a collaborative scheduling instruction based on the composite data mapping index.

[0035] When executing control commands, the control terminal extracts the microwave power dynamic adjustment parameters and hot air velocity dynamic adjustment parameters from the coordinated scheduling command. The control terminal sends the microwave power dynamic adjustment parameters to the frequency conversion microwave heating node, causing the frequency conversion microwave heating node to drive the solid-state microwave source to increase the microwave transmission power after receiving the parameters, relying on the high-frequency microwave penetration characteristics to heat the internal moisture of the sludge. Simultaneously, the control terminal sends the hot air velocity dynamic adjustment parameters to the hot air heating node, causing the hot air heating node to control the induced draft fan to increase the hot air blowing velocity after receiving the parameters. The synergistic effect of internal microwave heating and surface hot air stripping causes the sludge moisture content to drop below the lower limit of the preset plastic stage value range, preventing sludge from sticking and clogging inside the drying equipment cavity, and maintaining the operating state of the drying equipment.

Claims

1. A sludge drying data processing method based on the synergy of variable frequency microwave and hot air, characterized in that, include: Acquire microwave frequency monitoring data inside the variable frequency microwave heating node, and simultaneously collect hot air temperature monitoring data and fluid state monitoring data inside the hot air heating node; The microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data are timestamped according to the time dimension, and a structured time synchronization data table is output. Extract sludge moisture content characteristic data from the fluid state monitoring data in the structured time synchronization data table; When the sludge moisture content characteristic data is within the preset plastic stage value range, microwave frequency node sequence and hot air temperature node sequence corresponding to the preset plastic stage value range are selected from the structured time synchronization data table. Establish a microwave frequency primary key and a hot air temperature foreign key in a preset relational mapping database; write the microwave frequency node sequence into the microwave frequency primary key and the hot air temperature node sequence into the hot air temperature foreign key; calculate a composite data mapping index according to the mapping logic of the microwave frequency primary key and the hot air temperature foreign key; inject the composite data mapping index into the internal bus data transmission channel; The composite data mapping index in the internal bus data transmission channel is read, and a collaborative scheduling instruction is generated based on the composite data mapping index. The collaborative scheduling instruction is then sent to the frequency conversion microwave heating node and the hot air heating node through the internal bus data transmission channel to perform synchronous heating operation.

2. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 1, characterized in that, The microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data are timestamped according to the time dimension, and a structured time synchronization data table is output, including: Add timestamps to the microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data according to a preset time reference. The time deviation between the microwave frequency monitoring data and the hot air temperature monitoring data is determined by comparing the timestamp marks. When the time deviation exceeds a preset deviation threshold, redundant sampling point data exceeding the preset deviation threshold are cleared; The microwave frequency monitoring data, the hot air temperature monitoring data, and the fluid state monitoring data, after clearing the redundant sampling point data, are arranged according to the order of the timestamps, and the structured time synchronization data table is output.

3. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 2, characterized in that, Extract sludge moisture content characteristic data from the fluid state monitoring data in the structured time synchronization data table, including: Extract the fluid state monitoring data from the structured time synchronization data table; The moisture content characteristic data of the sludge is obtained by converting the fluid state monitoring data into moisture percentage. The sludge moisture content characteristic data are compared with the preset plasticity stage numerical range; When the comparison result falls within the preset plasticity stage value range, a plasticity stage status identifier is added to the structured time synchronization data table. Data records for the corresponding time period are extracted based on the plastic stage status identifier.

4. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 3, characterized in that, The microwave frequency node sequence and hot air temperature node sequence corresponding to the preset plastic stage numerical range are selected from the structured time synchronization data table, including: Separate the microwave frequency monitoring data and the hot air temperature monitoring data with the timestamp mark from the data records of the corresponding time period; The microwave frequency monitoring data is arranged into a microwave frequency node sequence according to the order of acquisition time. The hot air temperature monitoring data are arranged in chronological order of collection time to form the hot air temperature node sequence; Add a thermal conductivity reference temperature limit identifier that is within a preset temperature range to the hot air temperature node sequence.

5. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 4, characterized in that, Establish microwave frequency primary key and hot air temperature foreign key in the pre-defined relational mapping database, including: Allocate storage areas in the storage space according to a star network topology; Establish the relational mapping database in the storage area; Radio frequency band status parameters are extracted from the microwave frequency node sequence, and heat transfer oil circulation temperature parameters are extracted from the hot air temperature node sequence. In the relational mapping database, the radio frequency band status parameter is set as the microwave frequency primary key; The heat transfer oil circulation temperature parameter is synchronously set as the hot air temperature foreign key in the relational mapping database.

6. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 5, characterized in that, Writing the microwave frequency node sequence into the microwave frequency primary key and the hot air temperature node sequence into the hot air temperature foreign key includes: Send a data write request; Parse the data write request and insert the microwave frequency node sequence one by one into the first field corresponding to the microwave frequency primary key; The data write request is parsed, and the hot air temperature node sequence is filled into the second field corresponding to the hot air temperature foreign key one by one.

7. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 6, characterized in that, The composite data mapping index is calculated based on the mapping logic between the microwave frequency primary key and the hot air temperature foreign key, including: Read the association relationship between the first field and the second field, and establish an association mapping function; The association mapping function is substituted into the preset hash calculation rules to perform hash calculation and obtain the hash value characteristics; The hash value feature is set as the composite data mapping index.

8. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 7, characterized in that, Injecting the composite data mapping index into the internal bus data transmission channel includes: An entry buffer address area is defined at the access end of the internal bus data transmission channel; The composite data mapping index is transferred to the entry buffer address area; The composite data mapping index is format-converted in the ingress buffer address area to generate the composite data mapping index in a preset standard data frame format; The composite data mapping index, which is in the preset standard data frame format, is injected into the internal bus data transmission channel.

9. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 8, characterized in that, Read the composite data mapping index within the internal bus data transmission channel, and generate a cooperative scheduling instruction based on the composite data mapping index, including: Send a data read request signal to the storage address allocation node; The composite data mapping index within the internal bus data transmission channel is extracted using the data read request signal. Perform reverse parsing on the composite data mapping index to obtain the reverse parsing result; Based on the reverse analysis results, extract the dynamic adjustment parameters of microwave power and the dynamic adjustment parameters of hot air velocity. The microwave power dynamic adjustment parameter and the hot air flow rate dynamic adjustment parameter are combined to form the coordinated scheduling command.

10. The sludge drying data processing method based on the synergy of frequency conversion microwave and hot air according to claim 9, characterized in that, The coordinated scheduling command is sent to the frequency converter microwave heating node and the hot air heating node through the internal bus data transmission channel to perform synchronous heating operation, including: Extract the microwave power dynamic adjustment parameter and the hot air flow rate dynamic adjustment parameter from the collaborative scheduling instruction; The microwave power dynamic adjustment parameters and the hot air flow rate dynamic adjustment parameters are grouped into instruction configuration data, and the instruction configuration data is loaded into the instruction output channel; The microwave power dynamic adjustment parameter is sent to the frequency conversion microwave heating node through the command output channel. The frequency conversion microwave heating node receives the microwave power dynamic adjustment parameter and adjusts the radio frequency radiation power in response to the microwave power dynamic adjustment parameter. The hot air velocity dynamic adjustment parameter is sent to the hot air heating node through the instruction output channel. The hot air heating node receives the hot air velocity dynamic adjustment parameter and adjusts the hot air blowing velocity in response to the hot air velocity dynamic adjustment parameter.

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