CN-121979136-A - Intelligent animal carcass hydrolysis treatment and peptide liquid recovery system based on Internet of things

CN121979136ACN 121979136 ACN121979136 ACN 121979136ACN-121979136-A

Abstract

The invention relates to the technical field of biological resource recovery, in particular to an intelligent system for animal carcass hydrolysis treatment and peptide liquid recovery based on the Internet of things. The intelligent control system comprises an Internet of things data acquisition module, an intelligent decision control module, an execution module, a linkage safety module and a remote monitoring and data tracing module. The system comprises an Internet of things data acquisition module, an intelligent decision control module, a linkage safety module, a remote monitoring and data tracing module, a sequence quadratic programming algorithm, a safety interlocking protection module and a remote monitoring and data tracing module, wherein the Internet of things data acquisition module acquires multidimensional data in real time and transmits the multidimensional data to the intelligent decision control module, operation constraint is dynamically adjusted through long-term processing planning, short-term reaction prediction, tactical optimization and feedback correction, an optimization problem is solved by the sequence quadratic programming algorithm, an accurate hydrolysis and peptide liquid recovery parameter control instruction is generated, the linkage safety module realizes safety interlocking protection and blocks instruction execution in an unsafe state, and the remote monitoring and data tracing module provides full-flow data storage, tracing and remote access functions. The treatment efficiency, the peptide liquid quality and the system operation safety and traceability are improved.

Inventors

GAO JIARONG
LI ZHIQIANG
SUN ZHONGHAI
LIU PAN
XU ERCHAO

Assignees

禾香(北京)科技发展有限公司

Dates

Publication Date: 20260505
Application Date: 20260104

Claims (10)

1. Animal carcass hydrolysis treatment and peptide liquid recovery intelligent system based on thing networking, its characterized in that includes: The data acquisition module of the Internet of things is used for acquiring the attribute data of animal carcasses, the hydrolysis reaction process data, the peptide liquid recovery process data and the equipment running state data in real time and transmitting the data to the intelligent decision control module through the Internet of things; The intelligent decision control module is used for generating a long-term processing plan, short-term reaction prediction, optimizing hydrolysis and recovery parameters and generating a control instruction based on the acquired data; the execution module is used for executing the corrected hydrolysis parameter control instruction and the corrected peptide liquid recovery parameter control instruction, and driving the hydrolysis reaction equipment, the peptide liquid recovery equipment and the auxiliary equipment to complete corresponding actions; The linkage safety module is used for receiving the correction signal and the equipment state data in real time, triggering a safety instruction when the safety linkage condition is met, and blocking the execution of the control instruction in the unsafe state; the remote monitoring and data tracing module is used for storing all acquired data, control instructions and processing results and providing remote access, data tracing, fault early warning and report generation functions.
2. The intelligent system for hydrolyzing animal carcasses and recycling peptide liquid based on the Internet of things, according to claim 1, wherein the intelligent decision control module comprises a long-term processing planning unit, a short-term reaction prediction unit, a tactical optimization unit and a feedback correction unit; The long-term treatment planning unit generates a long-term treatment plan by utilizing a random forest algorithm based on historical treatment data, wherein the long-term treatment plan comprises optimal treatment batches, total hydrolysis period, peptide liquid recovery rate targets and purity targets of animal carcasses of different types; The short-term reaction prediction unit is used for generating short-term prediction information in a future preset short-term duration by utilizing a neural network model based on real-time data of the data acquisition module of the Internet of things, wherein the prediction information comprises a hydrolysis reaction progress prediction value, a peptide liquid concentration prediction value, a peptide liquid purity prediction value and an equipment operation load prediction value; the tactical optimization unit takes long-term processing planning as a reference, takes short-term prediction results and real-time acquisition data as inputs, dynamically adjusts initial operation constraint according to a preset adjustment strategy based on the correction signals generated by the feedback correction unit to obtain optimized constraint, and adopts a preset algorithm to solve the optimization problem to generate a corrected hydrolysis parameter control instruction and a corrected peptide liquid recovery parameter control instruction in the current rolling period; And the feedback correction unit is used for calculating the deviation between the short-term predicted value and the real-time acquired data, including hydrolysis temperature deviation, peptide liquid concentration deviation and purity deviation, generating a deviation feature vector comprising a deviation type and a deviation duration, and matching a predefined rule base to generate a correction signal.
3. The intelligent system for hydrolyzing animal carcasses and recovering peptide liquids based on the Internet of things according to claim 2, wherein the optimization objectives in the tactical optimization unit comprise maximizing peptide liquid recovery rate, maximizing peptide liquid purity, minimizing energy consumption and processing time; the initial operation constraint comprises hydrolysis reaction constraint, peptide liquid recovery constraint and equipment protection constraint.
4. The intelligent system for hydrolyzing animal carcasses and recycling peptide liquid based on the Internet of things according to claim 2, wherein the preset adjustment strategy in the tactical optimization unit dynamically adjusts the initial operation constraint, specifically: When a signal of slow hydrolysis reaction is received, the upper limit of the hydrolysis temperature is increased according to a preset proportion and does not exceed the safety limit of equipment; the upper limit of the enzyme addition amount is increased according to a preset proportion and does not exceed a preset safety threshold; extending the continuous operation time constraint of the reactor according to a preset proportion; When receiving the signal of insufficient purity of the peptide liquid, the filtering pressure is increased according to the preset proportion and does not exceed the safety limit of equipment; newly increasing the constraint of the addition amount of the adsorbent, wherein the addition amount of the adsorbent is in a preset reasonable range; the lower limit of the concentration multiple is increased according to a preset proportion and is not lower than a preset minimum concentration standard; when a 'device load exceeding' signal is received, the upper limit of hydrolysis temperature and the upper limit of pressure are adjusted according to a preset proportion; reducing the stirring rotation speed and the peptide liquid recovery flow according to a preset proportion; When a pathogen risk early warning signal is received, the lower limit of the hydrolysis temperature and the lower limit of the pressure are increased to preset safety standards; the hydrolysis reaction period and the disinfection and sterilization time are prolonged according to the preset proportion.
5. The intelligent system for hydrolyzing animal carcasses and recovering peptide liquid based on the Internet of things according to claim 4, wherein the correction signals of the feedback correction unit comprise a hydrolysis reaction too slow signal, a peptide liquid purity shortage signal, an equipment load exceeding signal, a pathogen risk early warning signal and a peptide liquid recovery standard reaching signal.
6. The intelligent system for hydrolyzing animal carcasses and recycling peptide liquid based on the Internet of things, according to claim 1, wherein the execution module comprises a hydrolysis reaction execution subunit, a peptide liquid recycling execution subunit and a disinfection and sterilization subunit; the hydrolysis reaction execution subunit is used for adjusting the temperature, the pressure, the enzyme addition amount and the stirring rotating speed of the hydrolysis reactor; The peptide liquid recovery execution subunit is used for executing filtration pressure and concentration multiple adjustment, and realizing the linkage of filtration, concentration and purification of peptide liquid; The disinfection and sterilization subunit is used for performing disinfection operation on the hydrolyzed residues, peptide liquid and the interior of the equipment according to preset disinfection standards.
7. The intelligent system for hydrolyzing animal carcasses and recycling peptide liquid based on the Internet of things according to claim 1, wherein the feedback correction unit generates a deviation feature vector comprising a deviation type and a deviation duration, and the method comprises the following specific implementation steps: Step 1, data input, namely acquiring a hydrolysis temperature predicted value, a peptide liquid concentration predicted value and a peptide liquid purity predicted value which are output by a short-term reaction predicted unit, and corresponding real-time data synchronously acquired by an Internet of things data acquisition module; Calculating the difference between the predicted value of the hydrolysis temperature and the real-time hydrolysis temperature to obtain the deviation of the hydrolysis temperature, calculating the difference between the predicted value of the peptide liquid concentration and the real-time peptide liquid concentration to obtain the deviation of the peptide liquid concentration, and calculating the difference between the predicted value of the peptide liquid purity and the real-time peptide liquid purity to obtain the deviation of the peptide liquid purity; Step 3, judging the deviation types, namely comparing each deviation with a preset tolerance, and judging whether the deviation is positive exceeding, negative exceeding or in a reasonable range, so as to form a deviation type mark; step4, counting duration, starting a timing mechanism, and recording duration of each deviation type mark to obtain deviation duration; and 5, constructing a feature vector, namely combining the deviation type identifier, the deviation values of each dimension and the deviation duration according to a preset sequence to form a deviation feature vector containing the deviation type and the deviation duration.
8. The intelligent system for hydrolyzing animal carcasses and recycling peptide liquid based on the Internet of things according to claim 1, wherein the tactical optimization unit generates corrected hydrolysis parameter control instructions and peptide liquid recycling parameter control instructions in the current rolling period, and the specific implementation steps of the intelligent system are as follows: Step 1, data preprocessing, namely receiving prediction information of a short-term reaction prediction unit, real-time acquisition data of an Internet of things data acquisition module and correction signals of a feedback correction unit, and cleaning, denoising and standardized conversion are carried out on the data; Step 2, optimizing target adaptation, dynamically adjusting weight distribution of maximizing peptide liquid recovery rate, maximizing peptide liquid purity, minimizing energy consumption and processing time based on animal carcass pathogen risk level judged by the data acquisition module of the Internet of things; Step 3, constraint condition adjustment, namely dynamically adjusting hydrolysis reaction constraint, peptide liquid recovery constraint and equipment protection constraint in initial operation constraint according to a preset adjustment strategy according to a correction signal of a feedback correction unit to obtain an optimized constraint boundary; Step 4, solving an optimization problem, taking an optimization target as a guide, taking an optimized constraint boundary as a limit, adopting a preset algorithm to construct an optimization model and solving the optimization model, and generating a control sequence of one rolling period in the future; Step 5, intercepting and checking the instruction, intercepting the control parameter of the current rolling period from the control sequence as an initial control instruction, checking the safety compliance through a linkage safety module, and obtaining a corrected hydrolysis parameter control instruction and a corrected peptide liquid recovery parameter control instruction; And 6, outputting the instruction, transmitting the corrected control instruction to an execution module, and synchronously feeding back the corrected control instruction to a feedback correction unit for recording.
9. The intelligent system for animal carcass hydrolysis treatment and peptide liquid recovery based on the Internet of things of claim 1, wherein the tactical optimization unit solves the optimization problem, and the specific process is as follows: Approximating the optimized objective function as a quadratic function, approximating the inequality constraint in the optimized constraint boundary as a linear constraint, constructing a quadratic programming sub-problem, obtaining a candidate control parameter set by solving an optimal solution of the quadratic programming sub-problem, checking whether the candidate control parameter set meets all the optimized constraint boundaries, if yes, using the candidate control parameter set as an effective solution, and if not, adjusting the constraint weight to reconstruct the sub-problem, repeatedly solving until an effective solution is obtained, mapping the effective solution into control parameters corresponding to an actual process parameter range, and forming a control sequence of one rolling period in the future.
10. The intelligent system for hydrolyzing and recovering the peptide liquid of the animal carcasses based on the Internet of things, which is characterized in that the system has a multi-batch collaborative processing function, when multiple types of animal carcasses are processed simultaneously, the Internet of things data acquisition module judges pathogen risk levels of the animal carcasses based on pathogen detection data and preset risk classification standards, and performs priority ranking based on the risk levels of the animal carcasses and processing difficulty, so that hydrolysis reactor and recovery equipment resources are dynamically allocated, and cross contamination among different batches is avoided.

Description

Intelligent animal carcass hydrolysis treatment and peptide liquid recovery system based on Internet of things Technical Field The invention relates to the technical field of biological resource recovery, in particular to an intelligent system for animal carcass hydrolysis treatment and peptide liquid recovery based on the Internet of things. Background The innocent treatment of animal carcasses (including dead animals, slaughter wastes and the like) is a key link for guaranteeing public health safety and preventing environmental pollution, and meanwhile, the animal carcasses are rich in biological resources such as proteins and the like, and products such as peptide liquid and the like are recovered through hydrolysis technology, so that the resource recycling can be realized, and the method has important economic and environmental protection values. The traditional animal carcass treatment mode mainly comprises incineration, landfill, simple hydrolysis and the like, but along with the increase of environmental protection requirements and the increase of resource recovery requirements, the traditional mode gradually exposes various limitations that the incineration method is high in energy consumption and easy to generate harmful gas to pollute the atmosphere, the landfill method occupies land resources and possibly causes soil and underground water to pollute and cannot realize resource recovery, and the simple hydrolysis method is dependent on fixed technological parameters and lacks dynamic adaptation capability to animal carcass characteristics and reaction processes, so that an intelligent animal carcass hydrolysis treatment and peptide liquid recovery system based on the Internet of things is designed. The prior art has the following defects, which are specifically shown in the following: 1. The parameters are stiff, the synergy of treatment and recovery is insufficient, the characteristics of animal carcasses and the dynamic changes of reactions cannot be adapted by adopting fixed process parameters, the hydrolysis reaction and the recovery link of peptide liquid are independent, and the parameter adjustment is not linked, so that the recovery rate of the peptide liquid is low and the purity fluctuation is large. 2. The safety protection is lost, the risk management and control is weak, the real-time interlocking protection on the abnormality (leakage and pressure/temperature exceeding) of the high-temperature and high-pressure equipment is lacking, the pathogen is not subjected to targeted management and control, and secondary pollution or safety accidents are easy to cause. 3. The method has the advantages of no whole-flow tracing, disordered multi-batch processing, lack of a standard data storage and tracing system, difficult tracing of quality problems, no scientific resource allocation mechanism during multi-batch processing, easy occurrence of cross contamination and low efficiency. Disclosure of Invention The invention aims to provide an intelligent system for animal carcass hydrolysis treatment and peptide liquid recovery based on the Internet of things, so as to solve the problems in the background technology. The invention aims to provide an intelligent system for hydrolyzing animal carcasses and recovering peptide liquid based on the Internet of things, which comprises an Internet of things data acquisition module, an intelligent decision control module and a control module, wherein the Internet of things data acquisition module is used for acquiring animal carcasses attribute data, hydrolysis reaction process data, peptide liquid recovery process data and equipment running state data in real time, and transmitting the animal carcasses attribute data, hydrolysis reaction process data, peptide liquid recovery process data and equipment running state data to the intelligent decision control module through the Internet of things. The intelligent decision control module is used for generating a long-term processing plan and a short-term reaction prediction based on the acquired data, optimizing hydrolysis and recovery parameters, generating a control instruction, and simultaneously monitoring the deviation between a predicted value and actual data in real time and triggering a constraint condition adjustment strategy. And the execution module is used for executing the corrected hydrolysis parameter control instruction and the corrected peptide liquid recovery parameter control instruction to drive the hydrolysis reaction equipment, the peptide liquid recovery equipment and the auxiliary equipment to complete corresponding actions. And the linkage safety module is used for receiving the correction signal and the equipment state data in real time, triggering a safety instruction when the safety linkage condition is met, and blocking the execution of the control instruction in the unsafe state. The remote monitoring and data tracing module is used for storing all acquired data, control instructi