601 results about "Production unit" patented technology

A full-automatic movie and television video production system based on digital actors belongs to the field of artificial intelligence, computer graphics and movie and television production and comprises a creative engine unit, a production unit, an intelligent shooting unit, a post-processing unit and a quality inspection and rendering unit. The method has the advantages that 1, the manufacturing efficiency is greatly improved, the traditional film and television manufacturing period is usually 6-12 months, the manufacturing period can be shortened to 4 hours by the method, and the efficiency is improved by about 1000 times; 2, the manufacturing cost is obviously reduced: the manufacturing cost of traditional movies and other movies is usually 5 million to 20 million dollars, but the method only needs the computing power cost, and the cost is less than one percent of that of the traditional movies; 3, the style consistency is guaranteed, traditional film and television production depends on personal ability, the style consistency is difficult to guarantee, and the style consistency is strictly guaranteed through an algorithm and is improved by 100%.

The utility model provides an emission reduction system for producing tetrahydrofuran from 1, 4-butanediol, and relates to the technical field of chemical production equipment. By arranging the 1, 4-butanediol raffinate separation unit, the 1, 4-butanediol raffinate generated in the tetrahydrofuran production unit can directly enter the film evaporator to be separated, the light component 1, 4-butanediol is rapidly evaporated and flows out from the first gas phase outlet, and the light component 1, 4-butanediol is condensed by the gas phase condenser and then returns to the tetrahydrofuran production unit to serve as a raw material to be recycled. And heavy components of tar in the film evaporator flow out from a first liquid phase outlet at the bottom and are discharged and incinerated. The system can further separate the 1, 4-butanediol raffinate generated in the tetrahydrofuran production unit, and recycle the 1, 4-butanediol in the raffinate, so that the material waste of the 1, 4-butanediol is reduced, and the utilization rate of the 1, 4-butanediol raw material is improved. And meanwhile, the 1, 4-butanediol residual liquid discharge incineration treatment amount is greatly reduced, energy conservation and emission reduction are achieved, and the production cost is reduced.

The invention discloses a cryogenic step-by-step preparation unit and process based on injection condensation and enhanced heat absorption in the technical field of absorption refrigeration. The cryogenic step-by-step preparation unit comprises a generation assembly, an evaporation absorption assembly, an injection assembly and a condenser. The evaporation and absorption assembly comprises a medium-pressure evaporator, a low-pressure evaporator, a medium-pressure absorber and a low-pressure absorber; the generating assembly utilizes a heat source to produce a cold source, the medium-pressure evaporator utilizes part of the cold source produced by the generating assembly to primarily cool a secondary refrigerant, and the low-pressure evaporator utilizes the remaining cold source discharged by the medium-pressure evaporator to cool the secondary refrigerant again. The condenser produces cold energy which is used as cold sources of the medium-pressure absorber and the low-pressure absorber respectively; the absorption type refrigerating unit is optimally designed, single-stage refrigeration is replaced by stage-by-stage refrigeration, the problem that the cost of single-stage refrigeration is too high due to the fact that equipment is too large is solved, and then application of the unit in the deep cooling scene is expanded.

The invention relates to the technical field of safety production management, and discloses a safety production hidden danger closed-loop management and control supervision system and a risk assessment early warning method, and the system comprises an environment modeling module which is used for building a digital model of a production unit and calculating a systematic instability coefficient based on historical data; the risk assessment module is used for quantifying the initial risk potential energy in combination with the coefficient and the hidden danger inherent attribute; the risk evolution module is used for dynamically updating risk potential energy according to a time and space coupling rule; the closed-loop verification module is used for judging the actual effectiveness of the intervention measure by comparing the management entropy before and after the intervention after the intervention measure is implemented; and the self-adaptive feedback module is used for automatically updating the systematic instability coefficient in the environment model according to the judgment result. According to the method, risk quantification, dynamic early warning, effect verification and model self-optimization are integrated, a complete closed-loop management process is formed, and the scientificity and foresight of safety production management are remarkably improved.

The invention discloses an injection-production regulation imbalance quantitative diagnosis method based on fluid potential energy, and the method comprises the steps: extracting a streamline track space coordinate sequence and corresponding point oil reservoir parameters based on a dynamic permeability field, a pressure field and an injection-production streamline field; constructing a three-dimensional fluid potential energy field model in the injection-production unit, and dividing dominant seepage, a retention zone and a transition zone based on the injection-production unit through potential energy gradient tensor; establishing a seepage potential index LS by taking the flow line penetrating pore volume as a stability weighting factor and combining the potential energy gradient intensity; on the basis of LS sorting, a potential energy-volume two-factor accumulation curve is constructed, the development non-equilibrium degree is represented through curve form parameterization, and the envelope area of the accumulation curve is calculated and used for representing the oil reservoir flow field development non-equilibrium degree and the development effect of each type of injection-production unit. According to the method, fluid potential energy and a two-factor cumulative distribution concept are introduced into computational logic, and unified and quantitative characterization of an oil reservoir flow field and an injection-production unit is realized in combination with a seepage mechanism of the injection-production unit.

The invention discloses an energy-saving and environment-friendly building brick production device, which relates to the technical field of building brick production, and comprises an equipment unit, a production unit and a control unit, comprising an upper pressing die assembly arranged on a supporting piece and a forming assembly arranged at the bottom of the upper pressing die assembly and used for conducting extrusion forming on bricks. The upper pressing die assembly and the lower pressing die assembly are used for extruding the forming assembly, so that the forming assembly is moved to the bottom of the hopper for feeding, the utilization rate of raw materials is increased, and the problems of waste and residues caused by the fact that the raw materials cannot effectively enter a forming cavity are solved. And through accurate matching of the upper pressing die assembly and the lower pressing die assembly, materials in the forming assembly are evenly extruded into blocks, the quality and consistency of the bricks are ensured, meanwhile, the continuous feeding, stamping, forming and discharging processes are achieved through automatic design of the device, and the production efficiency is effectively improved.

The invention relates to the technical field of industrial production management, in particular to a production path optimization method and system in the industrial internet. The method comprises the steps of obtaining and standardizing order, production line, resource and process data, and constructing a production basic data set; generating a reference production scheduling scheme based on a multi-objective optimization algorithm; monitoring a production execution state and an external event in real time to capture a preset production disturbance event; after the disturbance event is detected, the type and the influence level of the disturbance event are analyzed and evaluated; selecting a rescheduling strategy matched with the disturbance influence from a preset strategy library according to an evaluation result; and executing the selected strategy to generate a corrected scheduling scheme, and issuing the corrected scheduling scheme to a related production unit. According to the method, the hierarchical disturbance response mechanism is introduced, so that the impact on the whole production plan is reduced to the greatest extent while the emergency situation is effectively dealt with, and the huge calculation burden caused by unnecessary global re-optimization is avoided.

The invention relates to a packaging method for modeling and production unit combination of digital twin virtual equipment, which realizes modeling of the virtual equipment through an abstract process from top to bottom, and ensures high cohesion packaging of key attributes, states and behaviors of the virtual equipment in combination with an information hiding and uniform interface mechanism. A production unit-level combination and hierarchical packaging framework is further constructed based on the equipment model, and recursive combination and interoperation of multiple layers of modules are realized through unified station-level, production line-level and workshop-level interfaces and scheduling logic; according to the method, the modeling and packaging process of the digital twin virtual equipment is defined, the high cohesion packaging and interface uniformity of the model are highlighted, and cross-level combination and scheduling logic design are supported, so that the consistency and the implementability of the model in the system integration, evolution extension and module multiplexing processes are remarkably improved, and the modeling efficiency of the digital twin virtual equipment is improved. And universal and normalized technical support is provided for hierarchical construction and efficient deployment of virtual equipment in an intelligent manufacturing system.

The invention discloses a carbon metering method and device based on measured data and a medium, and the method comprises the steps: obtaining emission data through a preset sensor network, determining the energy consumption data of an enterprise, and obtaining environment data through a preset integrated sensor; fusing the emission data, the energy consumption data and the environment data to integrate data from different sources into a preset time coordinate system, and performing spatial aggregation on the fused data according to a production unit to determine a comparison model; determining a direct emission amount according to the emission data, determining an indirect emission amount according to the energy consumption data, comparing the direct emission amount with the indirect emission amount through a comparison model to determine an emission deviation, and comparing the emission deviation with a preset deviation threshold value; and if the emission deviation is greater than a deviation threshold value, determining a deviation reason according to the equipment operation log and the environment data, determining a re-check data point according to the deviation reason, and performing re-check metering according to the re-check data point.

The present invention refers to a SiC and Chlorosilane production system 2540, comprising at least one CVD SiC production reactor 850, in particular SiC fluidized bed reactor 850a, in particular according to claim 9, and a Chlorosilane production unit 2550, wherein the Chlorosilane production unit 2550 comprises at least a bed reactor 2416, in particular a fixed bed reactor or a fluidized bed reactor, for generating Chlorosilanes by reacting at least one fraction of the vent gas mixture provided via the vent gas outlet 216 of the CVD SiC production reactor 850 and Si, wherein further fractions of the vent gas mixture at least comprise H2 and a C-bearing molecule, in particular methane, and wherein Si is provided as solid 2398 inside the bed reactor 2416.

The invention discloses a production control method and system based on multi-source data fusion and an intelligent algorithm, and relates to the technical field of automatic control. Multi-dimensional production state information is collected through a sensor, multi-source heterogeneous data is integrated into a data set in a unified format through a data fusion technology, and the multi-dimensional production state information is obtained; a long short-term memory network is used for trend analysis and prediction, a multi-objective optimization algorithm is used for calculating an optimal control parameter, multi-loop cooperative adjustment is realized, an adjustment instruction is issued through a distributed control protocol, a priority ranking algorithm is introduced to ensure system stability, and a game theory negotiation algorithm is used for realizing dynamic resource allocation among production units. The production scheduling plan is optimized through the genetic algorithm, continuous monitoring and optimization can be achieved, control parameters can be adjusted in a self-adaptive mode, the production efficiency and the resource utilization rate are effectively improved, and intelligent automatic control under the complex production environment is achieved.

The invention relates to a powder metallurgy defect detection method based on pattern recognition. The method comprises the following steps: collecting process environment parameter data of each key position on a powder metallurgy production line and defect images and signal data of a detection object in real time; performing denoising and normalization processing on the original data set; extracting spatial features of the defect image and the signal data, and process environment parameter dynamic sequence features of each production unit; constructing a process parameter distribution model based on an adaptive time sequence; inputting the joint vector and the parameter distribution description into a depth time sequence neural network model; calculating an occurrence probability trend of each defect type in a future preset time window; and judging whether the defect trend early warning signal meets a process safety limit or an industry quality threshold. According to the method, the process change of a production field can be sensed in real time, the model can still automatically compensate characteristic drift even under the condition of raw material batch replacement or equipment characteristic fluctuation, and the high precision of defect type trend early warning judgment is kept.

The invention discloses an intelligent treatment method for glass dust, dust removal equipment, a medium and a program product, and relates to the technical field of industrial dust treatment. Through matching based on the process parameter data of the target to-be-crushed glass and the sensing data of the dust production unit, the current production event can be accurately identified. The static pressure difference value is compared with the preset ash removal trigger threshold value, and the appropriate target ash removal strategy is selected from the preset candidate ash removal strategy set in combination with the current production event, so that the selection of the ash removal strategy is more targeted. According to the dynamic strategy selection mechanism based on real-time data, the problem of excessive ash removal caused by adopting a unified ash removal standard in the traditional technology is avoided, and the fatigue loss of the filter bag fabric is reduced.

The invention discloses a scheduling optimization method and system for production project management, and relates to the technical field of production scheduling. A scheduling optimization system for production project management comprises a production project management module and a production project scheduling module. According to the invention, through the construction mode of the main project triad and the sub project triad, the complex production project information is standardized and semantized, and the analytic property of the scheduling model to the business logic is effectively enhanced; through scheduling perception coding and clustering processing of sub-project feature vectors, similar production unit tasks which can be merged can be automatically identified, the resource utilization rate is improved, and the redundancy scheduling cost is reduced; historical progress fusion and idle time window information are introduced, a scheduling constraint graph is constructed in combination with a graph attention network model, various resource, personnel and equipment state restrictions can be comprehensively considered, and a globally optimal solution of a task scheduling path is realized.

The invention provides an aero-engine flexible production line simulation method and system, and relates to the technical field of production line simulation, and the method comprises the steps: collecting and storing various types of multi-source heterogeneous data from various systems; carrying out fusion processing on the multi-source heterogeneous data; constructing and storing an auxiliary decision-making model and a production line production unit model of the aero-engine; constructing a production line digital twinborn simulation project; according to the multi-source heterogeneous data and the auxiliary decision-making model, simulation parameters are configured on a production line digital twin simulation project, a model data flow is monitored, and simulation operation is achieved; and analyzing the simulation result based on the auxiliary decision model and obtaining an optimization scheme. The method has the advantage that production scenes based on different instantiated aero-engine production and manufacturing schemes are flexibly simulated and analyzed.

The invention discloses an all-working-condition air water production unit, which belongs to the technical field of air water production, and comprises a high-humidity air inlet channel, a low-humidity air inlet channel, a channel switching device and a water production channel, and the high-humidity air inlet channel and the low-humidity air inlet channel are both communicated with the water production channel; air flowing out of the high-humidity air inlet channel or the low-humidity air inlet channel enters the water production channel so that the water production channel can produce water. According to the invention, the high-humidity operation mode or the low-humidity operation mode is automatically switched according to the air inlet humidity. A traditional unit can only operate under a single working condition. According to the invention, the optimal energy efficiency and water production rate can be kept in different environments.

The invention relates to the technical field of carbon emission monitoring, in particular to an electric power carbon emission cooperative monitoring and tracing method and system, and the method comprises the steps: carrying out the distribution of the actual carbon emission responsibility of each production unit based on the real-time power consumption data of each production unit in a park, and obtaining a carbon emission responsibility distribution result; obtaining an industrial chain linkage carbon emission fluctuation interval by using production association information between upstream and downstream production units of the industrial chain; the carbon emission responsibility allocation result is corrected according to the industrial chain linkage carbon emission fluctuation interval, and cooperative carbon emission correction responsibility data is obtained; carrying out collaborative carbon cost balance based on the collaborative carbon emission correction responsibility data, and generating a carbon cost distribution proportion; and according to the real-time production mode adjustment information fed back after the execution of the carbon cost distribution proportion, power carbon emission abnormity tracking is carried out to obtain power carbon emission traceability data. According to the invention, through industrial chain collaborative correction and a carbon cost feedback mechanism, dynamic and accurate distribution of electric power carbon emission responsibility and rapid positioning of an abnormal source are realized.

The invention provides a lean production-oriented self-adaptive digital intelligent scheduling method and system, and relates to the technical field of data processing, and the method comprises the steps: taking an initial resource allocation scheme as the basis of task sequence optimization, constructing a time detection line on a time axis, detecting the overlapping condition of different tasks in an execution period, and recognizing resource conflict points; generating a preliminary scheduling plan under the condition of meeting the equipment capacity and man-hour constraint; based on multi-source data of a production site, evaluating the preliminary scheduling plan, updating scheduling parameters, and generating an optimized scheduling scheme; and converting the optimized scheduling scheme into an equipment control instruction, and transmitting the equipment control instruction to a control terminal of a production unit to complete closed-loop optimization of production resources. Reasonable adaptation and efficient scheduling of production resources can be achieved, the production efficiency is improved, and resource waste and conflicts are reduced.

The invention discloses a displacement potential energy gradient oriented injection-production reconstruction optimization method between fracturing segments, and relates to the technical field of oil and gas field development. The method comprises the following steps: firstly, establishing an oil reservoir three-dimensional numerical model according to oil reservoir interpretation data, simulating in an oil reservoir numerical simulator by using the oil reservoir three-dimensional numerical model to obtain a global pressure field and a fluid flow velocity change condition in the oil reservoir, constructing a fluid potential field model, and determining potential energy gradients among injection-production units; constructing an objective function and setting constraint conditions by taking the most balanced potential energy gradient distribution among all injection and production units in the fluid potential field model as an optimization objective, solving the objective function based on a particle swarm algorithm, and optimizing the horizontal well multi-stage fracturing inter-section injection and production scheme to obtain the optimal horizontal well multi-stage fracturing inter-section injection and production scheme. The control device is used for controlling the injection-production process device between the multistage seam sections of the horizontal well, quantitative characterization and active control of an oil reservoir fluid potential field are achieved, and a basis is provided for improving the injected fluid sweep volume and the crude oil recovery rate of an oil reservoir.

The invention discloses a thermal management system for a hydrogen-oxygen-heat-power quadruple supply system for a high-cold and high-altitude area. The thermal management system comprises an input and production unit, a storage and processing unit, a power generation and heat recovery unit, a thermal management loop unit, a thermal management auxiliary system, an intelligent control unit and an energy output and application unit. Through precise design of the multi-temperature gradient heat management loop unit, under cooperation of the intelligent control unit, all energy generated in the system is recycled in a graded mode, distributed according to needs and recycled, finally, efficient output is achieved through the energy output and application unit, and the application bottleneck in the high-cold and high-altitude environment is thoroughly solved. The system solves the problems that the heat dissipation efficiency is suddenly reduced at a high altitude, low-temperature starting and operation are difficult, water resources are seriously wasted, and the comprehensive utilization efficiency of energy is low in an existing unified heat management system.

The application relates to the technical field of industrial park safety management, and discloses an industrial park intelligent safety management early warning method and system, which obtains the production processing type and the planned production time of each production unit in a target industrial park, considers the industrial gas dangerous reaction between the production associated gases corresponding to the production processing type and the planned production time, and then utilizes the production area position and the equipment state data provided by each production unit to perform key monitoring area screening, generates a monitoring and early warning area of the target industrial park, the monitoring and early warning area is an area with higher production danger in the target industrial park, and finally, a safety management detection strategy for guiding the industrial park to perform inspection and maintenance is generated according to the monitoring and early warning area. Therefore, the technical problems that the current safety management scheme for the industrial park has limitations and the early warning accuracy of the key monitoring unit / area is not high are solved.

The invention provides a power system hybrid energy storage capacity configuration method and device considering carbon emission, and the method comprises the steps: determining the actual power generation amount of each renewable energy source based on the historical power generation data of each renewable energy source; calculating a difference value between the actual generating capacity and the historical load demand, namely mismatched power; determining the energy storage unit capacity of each energy storage type in the hybrid energy storage system based on the mismatched power; determining the actual energy storage capacity of the hybrid energy storage system; based on the energy storage unit capacity and the actual energy storage capacity, determining the energy storage charging electric quantity of the hybrid energy storage system; on the basis of the determined full-life-cycle list of each energy storage mode, carbon emission of energy storage per unit capacity is calculated; and based on the energy storage charging electric quantity and the carbon emission, carrying out full-life-cycle carbon emission accounting on the hybrid energy storage system to obtain a full-life-cycle carbon emission accounting result. According to the method, the hybrid energy storage capacity can be determined under the situation of high-proportion renewable energy sources, the environmental influence is considered, and development of a power system is facilitated.

The utility model discloses a device for preparing fulvic acid through hydrothermal reaction of wet garbage. The device comprises a hydrothermal reaction unit, a solid fulvic acid production unit, a biodiesel separation unit and a concentration and evaporation unit, the hydrothermal reaction is divided into four stages, relatively simple control parameters can be set in the industrialization process, and personnel operation and monitoring are facilitated. Even if a problem occurs in a certain stage, related problems can be quickly solved according to parameter requirements. In the concentration and evaporation stage, the temperature rise amplitude of the low-concentration fulvic acid liquid is controlled through two-stage heating, and energy consumption in the operation process is reduced. Heat sources (hot water and steam) in the concentration and evaporation stage can be used for front-end material slurry preparation and steam type drying machines and heating of low-concentration fulvic acid, use of additional heat sources is reduced, and investment cost of equipment (steam generator) in the construction process and subsequent operation cost are reduced.

The invention relates to the technical field of industrial production, and discloses a factory safety production management method and system, and the method comprises the steps: collecting multi-source data, carrying out the standardization processing, carrying out the integration, analyzing a dynamic change relation based on a parameter correlation model, and judging whether there is an abnormality or not. When abnormity is detected, an alarm signal is automatically generated, abnormal data are recorded, a corresponding production unit linkage scheme is matched, an adjustment instruction is rapidly distributed, and feedback is obtained. And if the adjustment effect does not reach the expectation, the analysis-adjustment process is executed circularly until the safety prevention and control target is achieved. According to the method, comprehensive real-time monitoring of the factory environment is realized, abnormal conditions can be timely found and efficiently processed, and the production safety and stability are effectively improved.

The embodiment of the invention discloses a carbon emission prediction method, device and equipment for electric power equipment and a storage medium, and relates to the technical field of carbon emission, and the method comprises the steps: obtaining the planned yield of a preset production line of target electric power equipment produced by a target production unit in a target production period in response to a condition of meeting a production stage prediction triggering condition; acquiring a current carbon emission prediction model corresponding to the target electric power equipment, and predicting the carbon emission generated by the target electric power equipment produced by the preset production line in the target production period based on the planned yield by using the current carbon emission prediction model to obtain a carbon emission prediction amount; and writing the identifier of the current carbon emission prediction model, the planned yield and the carbon emission prediction quantity into a block structure corresponding to a production stage in a carbon footprint life cycle chain of the target electric power equipment, so that an external service system provides corresponding business services based on the carbon footprint life cycle chain corresponding to the target electric power equipment. And a carbon emission prediction function and a data non-tampering and traceable function are realized.

To provide an aqueous thinner waste liquid reuse system capable of producing a recycled thinner having slight bad odor and being capable of maintaining detergency.SOLUTION: An aqueous thinner waste liquid reuse system 1 according to the present invention comprises a circulation line 10, a filtration membrane module 21, and a recycled thinner forming unit 60. The circulation line 10 circulates an aqueous thinner waste liquid W1 including a coating component discharged from a coating booth. The filtration membrane module 21 is disposed on the circulation line 10 to separate the aqueous thinner waste liquid W1 into a condensed liquid W2 and a filtered liquid W3. The recycled thinner forming unit 60 stores the filtered liquid W3 permeating the filtration membrane module 21 and mixes the stored filtered liquid W3 with fresh thinner W4 to produce a reusable recycled thinner.SELECTED DRAWING: Figure 1

The invention discloses a feeding and discharging scheduling method and system for multiple production units of a material rack type AGV. The method comprises the steps that 1) scheduling targets are determined, wherein the timeout rate of feeding and discharging tasks is lowest, the average timeout time of timeout tasks is lowest, and the average task distance of AGV walking is shortest; 2) quantizing limiting conditions: the quantity of the piece boxes cached by the AGV cannot exceed the capacity of the material rack, the same AGV takes the material boxes from a task starting point and unloads the material boxes at a task terminal point, the total time of taking and unloading of the AGV conforms to a task time window, the caching material rack has an idle position when the AGV loads, and the caching material rack has an empty material box and an idle caching position when the AGV unloads; the AGV loads a plurality of material boxes to a cache material frame of the AGV at the same time and unloads the material boxes at a proper time; 3) solving the optimal path of the AGVs, wherein a plurality of AGVs execute an AGV allocation scheme of a plurality of loading and unloading tasks; and the AGV executes a loading and unloading step execution sequence, starting point and terminal point coordinates of each step and a list of coordinate points of a minimum path from the starting point to the terminal point. The system can adapt to the scenes of taking and unloading of a plurality of production units and a plurality of automatic storehouses.

The invention belongs to a production system and a production process of sodium methoxide. Comprising a sodium methoxide reaction tower, a methine solution pipeline, a refined methanol pipeline and a sodium methoxide storage tank, the methine solution pipeline is connected with an inlet in the upper portion of the sodium methoxide reaction tower through a tube pass of a methanol reaction tower kettle liquid heat exchanger, and a liquid phase outlet in the bottom of the sodium methoxide reaction tower is connected with an inlet of a sodium methoxide reaction tower kettle liquid evaporator; a liquid phase outlet of the sodium methoxide reaction tower kettle liquid evaporator is connected with a sodium methoxide storage tank through a methanol reaction tower kettle liquid heat exchanger shell pass; the refined methanol pipeline is connected with a lower gas-phase inlet of the sodium methoxide reaction tower through a tower top heat exchanger shell pass of an amide rectifying tower in the amide production unit, and the refined methanol pipeline is connected with a lower gas-phase inlet of the sodium methoxide reaction tower through a bottom liquid heat exchanger tube pass of a methanol rectifying tower in the amide production unit; according to the thermodynamically coupled sodium methoxide-amide collaborative production system, a cross-device energy and material collaborative network is constructed, so that the double breakthrough characteristics of energy conservation and product quality improvement are realized.

An apparatus for producing plastic preforms has a production device having production units configured for producing a plastic preform, wherein these plastic preforms are each formed in one piece and have at least one main body and a threaded portion arranged on the main body, and a removal device that is configured for jointly removing the plastic preforms manufactured from this production device. The removal device has a carrier and transport device configured for holding the removed plastic preforms, and for transporting the carrier jointly with the plastic preforms, removed by the removal device, and an inspection device having at least one infrared image recording device that is configured for recording a spatially resolved image of at least one region of a plurality of the plastic preforms produced and for outputting at least one measured value that is characteristic of a physical property of the plastic preforms.

An apparatus for producing plastics material containers has a production device having a plurality of production units, a forming device having a plurality of forming stations, a transport apparatus that is configured for transporting the plastics material preforms produced by the production device to the forming device, and a cooling device for cooling the plastics material preforms produced by the production device. An inspection device that is configured for inspecting at least one region of the plastics material preforms produced by the production device, is arranged between the production device and the cooling device, and has an image recording device that is configured for recording a spatially resolved image of a plurality of plastics material preforms.