CN-121994723-A - Method and system for producing and detecting organic nutrient soil of sludge
Abstract
The invention provides a method and a system for producing and detecting organic nutrient soil for sludge, and relates to the technical field of sludge recycling and production detection, wherein the method comprises the steps of synchronously sampling multiple points according to preset frequency in a conveying link after crushing and screening finished products and before automatic packaging, and collecting samples at all points to form a mixed sample representing the distribution characteristics of components of batches; on the basis of obtaining the equivalent detection data set, the component concentration space distribution matrix of the finished product on the cross section of the conveyor belt is constructed according to the geographic space coordinates of each point location and the material property parameters of the corresponding point location in the multi-point location synchronous sampling process. The invention improves the space representativeness and the component detection accuracy of the on-line sampling of the sludge organic nutrient soil, and realizes the visualization of component distribution and the accurate identification of abnormal areas.
Inventors
- HOU YUANPIAO
- SHEN RONGFENG
- LIN XIAOCHAO
- Gong Canhui
Assignees
- 福建省程远生态科技有限公司
- 福建农林大学
Dates
- Publication Date
- 20260508
- Application Date
- 20260408
Claims (8)
- 1. The method for detecting the production of the organic nutrient soil for the sludge is characterized by comprising the following steps of: carrying out multi-point synchronous sampling according to preset frequency in a conveying link after crushing and screening finished products and before automatic packaging, and collecting samples at each point to form a mixed sample representing the distribution characteristics of batch components; Constructing an intelligent analysis model based on multi-source data fusion, acquiring the spectral response characteristics of the mixed sample and a preset component association characteristic library, performing coupling calculation, and synchronously generating an equivalent detection data set; On the basis of obtaining an equivalent detection data set, according to the geospatial coordinates of each point position and the material property parameters of the corresponding point position in the multi-point synchronous sampling process, constructing a component concentration space distribution matrix of a finished product on the cross section of a conveying belt, generating a virtual component distribution cloud picture after performing space interpolation fitting on the distribution matrix, and dividing a homogeneous region and a heterogeneous region by identifying a component concentration gradient change rule in the cloud picture; mapping boundary coordinates of heterogeneous areas in the component distribution cloud chart onto a running track of a conveyer belt, carrying out space reverse deduction by combining with running speed parameters of the conveyer belt, calculating an upstream process disturbance period which causes component heterogeneity, generating a dynamic adjustment value for fermentation process parameters according to the upstream process disturbance period, and feeding back to a temperature control and mixing procedure of a front-end fermentation link; in the feedback process, comparing the equivalent detection data set with a preset quality standard threshold, if the equivalent detection data set is qualified, releasing the package, and if the equivalent detection data set is unqualified, triggering diversion and returning and sealing corresponding cloud images and process adjustment records; And associating and binding prestored detection data of the finished product of the current batch, cloud image characteristic values and production period information with the packaging batch, and generating a unique traceability code to realize quality traceability.
- 2. The method for detecting the production of the organic nutrient soil for sludge, as claimed in claim 1, wherein in a continuous production line, multi-point synchronous sampling is carried out according to a preset frequency in a conveying link after crushing and screening finished products and before automatic packaging, and mixed samples representing the distribution characteristics of ingredients of batches are formed by collecting samples at each point, and the method comprises the following steps: Setting sampling time intervals by combining the running speed of the conveyer belt and the discharging speed of the finished product, forming periodically-occurring sampling time points, and determining characteristic sampling points with space distribution representativeness on the cross section according to the natural repose angle section form formed by stacking materials on the conveyer belt, wherein the characteristic sampling points comprise boundary datum points positioned at the slope feet on the left side and the right side, crown datum points positioned at the top of the section and slope middle points positioned in the middle of a connecting line between each side boundary datum point and the crown datum point; When each sampling time point arrives, synchronously touching and releasing a sampling execution unit arranged right above each characteristic sampling point position, so that each sampling execution unit simultaneously extends downwards to a preset depth in a corresponding material stacking layer so as to grab a material sample instantaneously flowing through the vertical section of the point position; Synchronously collecting the instant material samples captured by each sampling execution unit into the same sample collection container, so that the material samples from different spatial feature points are physically mixed in the sample collection container to form a mixed sample capable of representing the distribution characteristics of the components of the full section of the conveyer belt; And recording the sampling time points corresponding to the mixed samples, the space coordinate codes of the characteristic sampling points and the identification marks of the sample collecting container, and taking the space coordinate codes as basic traceability information of the samples in the batch.
- 3. The method for producing and detecting the organic nutrient soil of the sludge according to claim 2, wherein the method is characterized by constructing an intelligent analysis model based on multi-source data fusion, obtaining the spectral response characteristics of the mixed sample and carrying out coupling calculation with a preset component association characteristic library, and synchronously generating an equivalent detection data set, and comprises the following steps: Carrying out full-band spectrum scanning on the mixed sample formed by the collection to obtain an original spectrum response curve of the mixed sample; Performing background subtraction, noise filtering and baseline correction pretreatment on an original spectrum response curve, and extracting a characteristic spectrum signal set capable of representing the internal components of a sample; A pre-constructed component association feature library is called, and a mapping relation matrix between different component indexes and characteristic spectrum signals is stored in the feature library; Inputting the characteristic spectrum signal set into an intelligent analysis model fused with multi-source data, and carrying out matching and inversion calculation on the characteristic spectrum signal and the mapping relation matrix through a coupling resolving algorithm in the model until the algorithm converges to finish coupling resolving; and after the coupling and resolving are finished, synchronously outputting the values of the pH value, the water content, the organic matter content, the fecal coliform and the heavy metal index to form an equivalent detection data set corresponding to the current mixed sample.
- 4. The method for producing and detecting the organic nutrient soil for the sludge, according to claim 3, is characterized in that on the basis of obtaining an equivalent detection data set, a component concentration space distribution matrix of a finished product on a cross section of a conveyor belt is constructed according to geographic space coordinates of each point position and material property parameters of corresponding point positions in a multi-point synchronous sampling process, a virtual component distribution cloud picture is generated after spatial interpolation fitting is carried out on the distribution matrix, and a homogeneous region and a heterogeneous region are divided by identifying a component concentration gradient change rule in the cloud picture, and the method comprises the following steps: Extracting space coordinate codes of characteristic sampling points from basic traceability information, synchronously acquiring material property parameters of each point at sampling time, and acquiring the integral component values of the finished products of the current batch from an equivalent detection data set; Inputting the material property parameters and the integral component values of the points into a space inversion model for resolving so as to calculate component concentration estimated values of local areas corresponding to the characteristic sampling points; The space coordinates of each characteristic sampling point are used as position references, and the corresponding component concentration estimated value is used as an assigned variable to construct a discrete component concentration space distribution matrix of the finished product on the cross section of the conveyor belt; performing spatial interpolation fitting treatment on the discrete component concentration spatial distribution matrix to generate a continuous virtual component distribution cloud picture covering the cross section of the whole conveyor belt; And carrying out gradient analysis on the continuous virtual component distribution cloud picture, identifying the gradient change rule of the component concentration in the cloud picture, and dividing the cloud picture area into a homogeneous area with relatively uniform component distribution and a heterogeneous area with obvious component distribution fluctuation according to a preset gradient threshold value.
- 5. The method for detecting the production of the organic nutrient soil for sludge, as claimed in claim 4, wherein the method is characterized in that boundary coordinates of heterogeneous areas in a component distribution cloud chart are mapped onto a running track of a conveyer belt, spatial reverse deduction is carried out by combining a running speed parameter of the conveyer belt, an upstream process disturbance period which causes component heterogeneity is calculated, a dynamic adjustment value for fermentation process parameters is generated according to the upstream process disturbance period, and the dynamic adjustment value is fed back to a temperature control and mixing procedure of a front-end fermentation link, and the method comprises the following steps: extracting a space coordinate set of the boundary contour of the space coordinate set on the cross section of the conveyor belt from the partitioned heterogeneous region to serve as boundary coordinate data of the heterogeneous region; Mapping boundary coordinate data of the heterogeneous zone to a running track of the conveyer belt, and establishing a space interval between a starting position and a terminating position of the heterogeneous zone in the length direction of the conveyer belt; The real-time running speed parameters of the conveyer belt are called, and the space interval is combined to carry out space reverse deduction so as to convert the space interval into a time interval, and an upstream process disturbance period corresponding to the material forming the heterogeneous area is calculated; According to the upstream process disturbance period, positioning actual operation parameters of a front-end fermentation link in the period in a prestored historical process parameter record, comparing the actual operation parameters with preset standard process parameters, and identifying deviation factors causing component heterogeneity; Generating a dynamic adjustment value for fermentation process parameters according to the identified deviation factor, wherein the dynamic adjustment value comprises a temperature compensation amount, a mixing rotating speed correction amount and a residence time adjustment amount; and feeding the dynamic adjustment value back to the temperature control procedure and the mixing procedure of the front-end fermentation link in real time, and correcting the current operation parameters.
- 6. The method for detecting the production of the organic nutrient soil by the sludge according to claim 5, wherein in the process of feedback, an equivalent detection data set is compared with a preset quality standard threshold, if the detection is qualified, the packaging is released, and if the detection is not qualified, the diversion and the returning are triggered and the corresponding cloud image and the process adjustment record are sealed, and the method comprises the following steps: The dynamic adjustment value is fed back to the front-end fermentation link in real time, an equivalent detection data set corresponding to the finished product of the current batch is called, and a quality standard threshold value which the finished product of the current batch should meet is extracted from a preset database; Comparing each index value contained in the equivalent detection data set with the quality standard threshold item by item, and evaluating whether the finished product of the current batch reaches the qualification standard or not according to the comparison result; If the assessment result is qualified, allowing the finished product of the current batch to enter a quantitative weighing and automatic packaging process; if the assessment result is unqualified, triggering the current batch of finished products to be redirected into a returning processing channel in the conveying process, and triggering a data storage program; and the data sealing program seals the generated component distribution cloud image, the generated dynamic adjustment value and the identified deviation factor to form a quality abnormal record corresponding to the unqualified batch.
- 7. The method for detecting the production of the organic nutrient soil by using the sludge as claimed in claim 6, wherein the method for associating and binding the prestored detection data of the finished product of the current batch, the cloud image characteristic value and the production period information with the packaging batch to generate the unique traceability code so as to realize quality traceability comprises the following steps: Extracting all detection data of a finished product of a current batch from the output equivalent detection data set, extracting cloud picture characteristic values representing distribution characteristics of the cloud picture from the generated component distribution cloud picture, and extracting production period information corresponding to the current batch from the recorded basic traceability information; The method comprises the steps of performing one-to-one correspondence between packaging batch codes corresponding to the current batch finished products in an automatic packaging link and extracted detection data, cloud picture characteristic values and production period information, and establishing a multi-dimensional data association relation; generating a unique traceability code corresponding to the batch of finished products through code generation calculation according to the established multidimensional data association relation; Uploading the unique traceability codes and all data related to the unique traceability codes to a quality traceability platform for storage to form a complete quality traceability file capable of being inquired and called; If the current batch of finished products is judged to be unqualified, synchronizing the quality exception records associated with the seal-up when generating the unique traceability codes, so that the traceability file of the current batch of finished products contains complete exception causes and disposal information.
- 8. A sludge organic nutrient soil production detection system implementing the method of any one of claims 1 to 7, comprising: the multi-point synchronous sampling module is used for carrying out multi-point synchronous sampling according to preset frequency in a conveying link after crushing and screening of finished products and before automatic packaging, and collecting samples at all points to form a mixed sample representing the distribution characteristics of components of a batch; The multi-source spectrum intelligent analysis module is used for constructing an intelligent analysis model based on multi-source data fusion, acquiring the spectrum response characteristics of the mixed sample and a preset component association characteristic library for coupling calculation, and synchronously generating an equivalent detection data set; The component spatial distribution reconstruction module is used for constructing a component concentration spatial distribution matrix of a finished product on the cross section of the conveyor belt according to the geospatial coordinates of each point position and the material property parameters of the corresponding point position in the multi-point synchronous sampling process on the basis of obtaining an equivalent detection data set, generating a virtual component distribution cloud picture after performing spatial interpolation fitting on the distribution matrix, and dividing a homogeneous region and a heterogeneous region by identifying the component concentration gradient change rule in the cloud picture; The process reverse deduction and dynamic regulation module is used for mapping boundary coordinates of heterogeneous areas in the component distribution cloud picture onto a running track of a conveyor belt, carrying out space reverse deduction by combining the running speed parameter of the conveyor belt, calculating an upstream process disturbance period which causes component heterogeneity, generating a dynamic regulation value for fermentation process parameters according to the upstream process disturbance period, and feeding back to a temperature control and mixing procedure of a front-end fermentation link; The on-line quality judging and shunting control module is used for comparing the equivalent detection data set with a preset quality standard threshold in the feedback process, releasing and packaging if the equivalent detection data set is qualified, triggering shunting and returning materials and sealing and storing corresponding cloud pictures and process adjustment records if the equivalent detection data set is unqualified; And the full-flow quality tracing module is used for associating and binding prestored detection data of the current batch of finished products, cloud picture characteristic values and production period information with the packaging batch to generate unique tracing codes so as to realize quality tracing.
Description
Method and system for producing and detecting organic nutrient soil of sludge Technical Field The invention relates to the technical field of sludge recycling and production detection, in particular to a method and a system for producing and detecting organic nutrient soil for sludge. Background The preparation of the organic nutrient soil by recycling the sludge is an important technical route for harmless, reduced and recycling of the sludge of urban sewage treatment plants, and has been widely applied in the fields of landscaping, soil improvement, large-scale planting and the like. With the continuous, automatic and large-scale production development of the industry, the product uniformity, application safety and market compliance of the organic nutrient soil for the sludge are directly determined by online quality detection and process regulation and control of finished products after crushing and screening and before automatic packaging. The existing online detection and quality control technology has the technical defect that spatial representative sampling and component distribution visual analysis cannot be performed on finished materials on a conveying belt. In an actual continuous production line scene, because materials are in a natural accumulation state on a conveyor belt, the existing sampling mode is difficult to cover space characteristic points such as slope feet, slope surfaces and crown tops of cross sections, the obtained mixed sample cannot truly reflect the distribution of batch components, so that spectrum detection and component analysis results deviate from reality, whether the product meets index requirements of organic matters, water content, heavy metals, fecal coliform and the like cannot be accurately judged, component concentration gradients and heterogeneous areas of the cross sections of the materials cannot be identified, abnormal space distribution cannot be reversely mapped to process links such as upstream fermentation temperature, mixing uniformity and the like, quality regulation is lag and passive, and closed-loop control from detection and tracing to process adjustment is difficult to be realized. Disclosure of Invention The invention aims to solve the technical problem of providing a method and a system for producing and detecting the organic nutrient soil of the sludge, which can realize the full-flow closed-loop control from online sampling, rapid component analysis, visual spatial distribution and abnormal cause reverse deduction to the dynamic adjustment of a front-end process of the organic nutrient soil of the sludge. In order to solve the technical problems, the technical scheme of the invention is as follows: in a first aspect, a method for detecting production of organic nutrient soil by sludge, the method comprising: carrying out multi-point synchronous sampling according to preset frequency in a conveying link after crushing and screening finished products and before automatic packaging, and collecting samples at each point to form a mixed sample representing the distribution characteristics of batch components; Constructing an intelligent analysis model based on multi-source data fusion, acquiring the spectral response characteristics of the mixed sample and a preset component association characteristic library, performing coupling calculation, and synchronously generating an equivalent detection data set; On the basis of obtaining an equivalent detection data set, constructing a component concentration space distribution matrix of a finished product on the cross section of a conveying belt according to geographic space coordinates of each point position and material property parameters of corresponding point positions in the multi-point synchronous sampling process, generating a virtual component distribution cloud picture after performing space interpolation fitting on the distribution matrix, and dividing a homogeneous region and a heterogeneous region by identifying a component concentration gradient change rule in the cloud picture; mapping boundary coordinates of heterogeneous areas in the component distribution cloud chart onto a running track of a conveyer belt, carrying out space reverse deduction by combining with running speed parameters of the conveyer belt, calculating an upstream process disturbance period which causes component heterogeneity, generating a dynamic adjustment value for fermentation process parameters according to the upstream process disturbance period, and feeding back to a temperature control and mixing procedure of a front-end fermentation link; in the feedback process, comparing the equivalent detection data set with a preset quality standard threshold, if the equivalent detection data set is qualified, releasing the package, and if the equivalent detection data set is unqualified, triggering diversion and returning and sealing corresponding cloud images and process adjustment records; And associating and binding presto