124 results about "Industrial area" patented technology

The invention discloses an industrial area atmospheric environment monitoring management system and method, and relates to the technical field of industrial Internet of Things environment monitoring, and the method comprises the steps: triggering polarization imaging to scan a target region based on the time-space information of an abnormal event signal, obtaining the polarization characteristic data of a pollution plume, and generating a spatial distribution characteristic parameter; inputting the sound pressure abnormal indexes and the spatial distribution characteristic parameters into an industrial equipment leakage causal model, calculating a pollution source confidence coefficient, and when the pollution source confidence coefficient reaches a process safety dynamic threshold value, obtaining an industrial equipment traceability result and a leakage level; according to the traceability result of the industrial equipment and the leakage level, a hierarchical control instruction is obtained, meanwhile, the actually measured attenuation rate of the industrial pollutants is calculated, and the dynamic response effect is verified; according to the method, cross-modal fusion modeling is carried out on acoustic abnormal information and pollutant spatial distribution characteristics, so that the technical limitation that pollution source positioning is carried out by depending on a static empirical formula traditionally is broken through.

The invention relates to the technical field of cathode protection, in particular to a method for optimizing cathode protection of a complex buried pipe network under current interference, which comprises the following steps of: collecting data of soil resistivity, pipeline material and environment humidity from differentiated industrial areas by adopting an on-site sampling mode, and analyzing the variation and relevance of the data to obtain the cathode protection of the complex buried pipe network. And obtaining environmental parameter characteristics. According to the invention, through the scene test adjustment model of the simulation environment, various complex interference conditions can be accurately corresponding, the distribution of current and potential can be optimized, the stability of the cathode protection system in the variable interference environment is improved, and through the simulation of the electromagnetic field data and the multi-round simulation test, the fine adjustment of the current and potential parameters is realized; the anti-corrosion effect of the buried pipe network and the overall efficiency of the system are remarkably improved, long-term safety and stability of the buried pipe network in a complex current interference environment are ensured through real-time monitoring and adjustment, and the service life of facilities is remarkably prolonged.

The invention relates to the technical field of agricultural development, and discloses a characteristic rural industry green planning system combined with economic analysis, and the system comprises a data collection and analysis module which is used for collecting and integrating policy information, environment data, economic data and market demand information; the environment evaluation and grading module is used for dividing the rural industrial area into a green multi-dominant production area, a pollution-free multi-dominant production area, a green less-dominant production area and a pollution-free less-dominant production area; the industrial planning module is used for designing production, processing, packaging and supply chain schemes of characteristic agricultural products and constructing a brand construction scheme in combination with regional historical and cultural characteristics; the economic analysis module is used for analyzing economic benefits of the industry, evaluating risks and providing an optimization scheme; and the intelligent auxiliary decision-making module simulates economic and ecological influences of different planning schemes. According to the method, intelligent and dynamic planning is realized through reinforcement learning, linear planning and a system dynamics model, and the scheme is quickly adjusted according to real-time environment, economy and policy data.

The invention relates to the field of urban public transport deployment, and provides a public transport network matching method and system based on an urban space structure, which divides urban areas by constructing a traffic model, identifies areas with dense demands on the basis of power consumption density, and provides a public transport network matching method and system based on the urban space structure. And the coverage condition of the existing public transport network on the areas with dense demands is evaluated, and uncovered areas are identified. For the uncovered areas, the information of stores and companies in the map data is used to subdivide the uncovered areas into a plurality of types of areas. A bus rapid transit system is additionally arranged in a commercial district to improve transportation efficiency, a peak period special line is additionally arranged in an office building area to meet commuting requirements, a customized bus special line is provided in an industrial district to meet requirements of specific periods and routes, and a conventional bus route is additionally arranged in a residential district to improve daily travel. Accurate matching between the urban space structure and the public transport demand is realized, and the coverage rate and efficiency of public transport service are improved.

The invention discloses an outdoor environment health monitoring method based on an olfactory chip, and relates to the technical field of environment health monitoring. A traditional sensor and an olfactory chip are adopted at a monitoring node at the same time, so that synchronous acquisition of temperature, humidity, gas concentration and complex smell fingerprints is realized; the limitation of identifying multi-component pollutants in a complex environment of an industrial area by a single data source is fundamentally made up; the traditional method is difficult to distinguish cross interference of various gases, however, in the invention, a deep neural network is combined with an attention mechanism to extract implicit features of sensing data, and data cross correction is realized through space-time correlation analysis, so that the accuracy of pollutant identification is remarkably improved; further introducing a graph neural network to carry out modeling on spatio-temporal data of each monitoring node, capturing space structure information of the whole monitoring network, and forming a fusion feature vector with relatively high distinguishing capability; the problem of signal cross interference when various malodorous gases are mixed in an industrial area is effectively solved.

The invention discloses an LNG (liquefied natural gas) station site selection method and device based on multi-scene dynamic coupling, a computer and a storage medium, belongs to the technical field of LNG infrastructure planning and intelligent transportation, and solves the technical problem that LNG station site selection is difficult to accurately predict under multi-scene dynamic change. The method comprises the following steps: collecting multi-scene site selection data of the LNG filling station; data processing is carried out, and a space-time fusion big data medium table is constructed; constructing a long short-term memory network LSTM and reinforcement learning RL coupling model, and obtaining a real-time demand prediction result; a multi-constraint site selection optimization model is constructed, and an LNG gas station candidate site set is obtained; performing optimization through scene classification and feature modeling and defining a multi-scene layout criterion to obtain an LNG gas station candidate set adaptive to multiple scenes; according to the method, the site selection planning of the LNG filling station is realized by fusing the requirements and constraints of multiple scenes such as high speed, suburban, city and industrial districts, and the method is suitable for the field of administrative planning of the government and site selection planning of gas supply enterprises on the LNG filling station.

The invention discloses an underwater acoustic-magnetic multi-modal fusion processing method, which comprises the following steps: carrying out preprocessing and time-space alignment on collected sonar and magnetic data, and extracting a morphological feature vector and a magnetic feature vector of a pipeline; based on a pipeline route trend, calculating an optimal matching path of a sonar contour and a magnetic force abnormal zone through dynamic time warping, establishing acoustic-magnetic mapping, and fusing features to generate a joint vector; finally, the type and state of the pipeline are judged according to the combined characteristics, and the problem that in a near-shore port and an industrial area water area, due to the interference of construction waste and the influence of a pipeline coating layer, a single sonar is difficult to accurately detect the pollution discharge pipeline and the cable is solved. According to the method, the complementarity of acoustic and magnetic characteristics is utilized, the accuracy of pipeline detection in a complex scene is improved, and reliable data support is provided for operation and maintenance of near-shore water area pipelines.

The invention discloses an industrial park comprehensive energy system low-carbon planning method considering a production process, and the method comprises the following steps: 1, obtaining the production line condition of an industrial park, and constructing a production line model; 2, determining to-be-planned equipment and parameters, and constructing a lower-layer planning operation model considering short-term uncertainty; 3, determining medium and long term uncertainty parameters, and constructing a medium and long term uncertainty set; step 4, determining a multi-objective optimization model; 5, searching a Pareto leading edge by using multi-target reinforcement learning based on a decomposition technology; and 6, selecting a proper Pareto frontier solution, and substituting the Pareto frontier solution into the lower-layer planning operation model to obtain a corresponding planning result. The invention aims to realize low-carbon transformation of an integrated energy system (IRIES) in an industrial area so as to cope with carbon reduction, emission reduction and challenges in a carbon dense area.

The invention belongs to the technical field of industrial area green land planning, and discloses a GIS-based industrial green land carbon evaluation decision system and method, which perform integrated scheme decision by acquiring multi-source dynamic data, performing space unit division, predicting dynamic carbon emission, identifying hot spot areas and time, and comprehensively considering factors such as vegetation characteristics and budget constraints. According to the method, dynamic changes of industrial development in an industrial area, staged green land construction budget and time sequence characteristics of vegetation growth can be comprehensively considered, and a green land planning scheme for realizing carbon sink benefit and cost input optimization matching in a planning period is generated.

The invention provides a high-performance concrete anticorrosive paint and a preparation method of a coating, and relates to the technical field of building materials and corrosion prevention. The coating is composed of a component A and a component B, the component A comprises epoxy resin, a composite solvent, an organic solvent, a dispersant, fumed silica and a leveling agent, and the component B comprises an epoxy hardener, a conductive polymer dispersion liquid and an organic solvent. The composite solvent is formed by compounding one or more of orthotitanate, phosphate and orthosilicate with an ester, ketone, alcohol, aromatic hydrocarbon, aliphatic hydrocarbon or ether organic solvent. The preparation method of the anticorrosive coating comprises the following steps: preparing the component A and the component B, mixing to form a coating, applying the coating to the surface of concrete, and curing. The coating is compact in structure and strong in adhesive force, can obviously improve the durability and corrosion resistance of concrete in extreme environments such as high salinity and high acid, and is particularly suitable for infrastructure protection in coastal and heavy corrosion industrial areas.

The invention relates to the field of industrial energy consumption data monitoring, in particular to a hydroelectric energy consumption data monitoring method and system based on edge computing, and the method comprises the steps: preprocessing the historical data of water meters and electricity meters in an industrial region, carrying out the clustering analysis to form a water meter cluster and an electricity meter cluster, and deploying an isolated forest model on an edge node corresponding to each cluster. And training a model by using a clustering result, and updating a model weight according to new data so as to adapt to data change. And inputting real-time data into the updated model, and calculating an abnormal score to evaluate whether the energy consumption data is abnormal or not, thereby realizing accurate hydroelectric energy consumption monitoring. According to the method, the adaptability and accuracy of hydroelectric energy consumption anomaly detection are remarkably improved by training and deploying the isolated forest models on the edge nodes for different equipment clusters and dynamically updating the model weight in combination with the similarity of the new data set.

The invention discloses a parallel operation control system for multiple fuel generator units, and relates to the technical field of parallel operation control, the system collects unit operation data in real time through a sensor, and an operation steady state data set is obtained after data preprocessing; calculating an operation steady-state function index ywt based on the operation steady-state data set, and performing parallel operation conformity evaluation on the operation steady-state function index ywt and a preset operation steady-state safety threshold Z; calculating a load distribution index fhf and the actual output power sjg of the unit when the parallel operation requirement is met; performing unit load evaluation according to the load execution rate zxl, and judging whether the load state is abnormal or not; and when the unit load is abnormal, the off-line decision module determines whether to execute off-line and parallel operation instructions by combining the total demand load to of the industrial area and the residual unit load capacity sf. According to the system, through multi-module collaborative optimization, the parallel operation stability and the load management efficiency are improved, and the reliability and the economical efficiency of the power generation system are ensured.

The invention belongs to the technical field of intelligent sensing monitoring and micro-nano energy, and discloses an intelligent acid rain sensing monitoring method and system based on a total-current nano generator. The method comprises the following steps: preparing a total-current nano-generator as a sensing core element, and generating a characteristic electric signal corresponding to a pH value through the action with acid rain; constructing an intelligent algorithm processing module based on a ResNet 18-1D convolutional neural network (CNN), and performing multi-dimensional feature extraction and pH value intelligent classification on the collected electric signals; and displaying the electric signal waveform characteristics and the pH recognition result in real time through a visual interaction interface. According to the invention, the full-current nano generator is combined with the deep learning technology, the technical bottlenecks that a traditional acid rain detection method depends on a large professional instrument, needs external power supply support and is complex in operation process are broken through, and in-situ, rapid and intelligent monitoring of the acid rain pH value is realized. And an efficient and reliable solution is provided for real-time monitoring of acid rain in industrial areas and outdoor environments.

The invention relates to the technical field of heat supply system remote monitoring, and discloses an intelligent heat meter remote data acquisition method based on edge calculation. The method comprises the following four steps: constructing a user-device double-causal network model, realizing an anomaly detection and attribution mechanism based on causal reasoning, developing an interpretable anomaly report generation system and realizing a predictive maintenance suggestion system. By constructing the double-causal network reflecting the causal relationship between the user behavior and the system physical state, accurate attribution of abnormal data is realized, user behavior changes and equipment faults can be accurately distinguished, the diagnosis accuracy is improved, the false alarm rate is reduced, and the user experience is improved. The system is particularly suitable for remote monitoring and maintenance management of heat supply systems of large residential districts, commercial buildings and industrial districts and remote or difficult-to-reach heat supply stations.

The invention relates to the technical field of environment monitoring, and discloses an environment-friendly environment monitoring system, which collects static and dynamic data through a fixed monitoring station and a mobile device, realizes frequency adaptive calibration by adopting a linear interpolation or spline interpolation algorithm, and constructs a fusion data matrix of time-space alignment; matching an optimal environment evaluation model based on an optimization algorithm (such as an eagle algorithm), and dynamically selecting a prediction algorithm in combination with pollution characteristics; a differential response strategy is triggered through a multi-stage early warning mechanism (yellow / orange / red), a pollution source positioning map and an emergency scheme are synchronously generated, and'monitoring-analysis-disposal 'closed-loop management is realized. The method can be applied to the scenes of urban atmosphere, river water quality, industrial area multi-parameter pollution and the like, the monitoring precision (the omission ratio is reduced by more than or equal to 25%), the response speed (the early warning push is less than or equal to 8 seconds) and the resource utilization efficiency (the energy consumption is reduced by 20-35%) are effectively improved, and a high-reliability solution is provided for intelligent environmental protection.

The invention provides a carbon neutralization zoning simulation method, system and device based on a smart city, and relates to the technical field of carbon neutralization simulation, and the method mainly comprises the steps: carrying out the planning zoning of a map of a tested city; calculating the carbon emission of each partition and carrying out visualization processing to obtain geographic space data; calculating the carbon sink amount of each partition; collecting output value basic data of each industry of the detected partition and marking the output value basic data in geographic space data; carbon emission basic data, carbon sink basic data and output value basic data which are regularly acquired by a smart city system are stored in a smart city database based on a time sequence; predicting the future carbon emission, carbon sink and output value of the measured subarea; constructing a time sequence dynamic optimization model, and solving an industrial area layout scheme through a parallelization genetic algorithm; and generating suggestion information. According to the scheme, a quantifiable and adjustable carbon management tool is provided for overall planning of urban territorial space, and the scheme is particularly suitable for low-carbon planning and treatment of high-density coastal cities.

The present invention relates to the production of a sound-insulating textile surface comprising two fabric layers laminated to each other with the coated surfaces remaining on the inner surface, while the fabric surfaces remain on the outer surface. Providing benefits such as preventing noise pollution, improving sound acoustics and increasing privacy in many sectors from construction sites to production facilities, from homes to offices, from automobiles to industrial areas. The versatility of this fabric offers significant advantages, both aesthetically and functionally.

The present invention relates to the production of a sound-insulating textile surface comprising two fabric layers laminated to each other with the coated surfaces remaining on the inner surface, while the fabric surfaces remain on the outer surface. Providing benefits such as preventing noise pollution, improving sound acoustics and increasing privacy in many sectors from construction sites to production facilities, from homes to offices, from automobiles to industrial areas. The versatility of this fabric offers significant advantages, both aesthetically and functionally.

The present invention provides a method, system and medium for classified control of heavy metal pollution in cultivated land, relating to the technical field of environmental protection, including: obtaining remote sensing image data of a strictly controlled area for heavy metal pollution, and dividing the strictly controlled area into multiple plots with different environmental conditions by using the object-oriented method; constructing multiple suitability constraint conditions for the control measures in the strictly controlled area by using the distance to the town, the distance to the industrial area, the slope, the production capacity, the control measures and the area variable; taking the expenditure cost, the cultivated land area and the safety utilization rate of various control measures in the strictly controlled area as the constraint conditions of the control measures in the strictly controlled area, and combining with the suitability constraint conditions to obtain the classified control measures with the minimum total cost in the strictly controlled area for heavy metal pollution. The above method helps to realize the zonal and block management of cultivated land polluted by heavy metals.

The application belongs to the technical field of industrial green land planning, and discloses a GIS-based industrial green land carbon assessment decision system and method. Through acquisition of multi-source dynamic data, spatial unit division, prediction of dynamic carbon emission, identification of hot spot areas and time, and integrated scheme decision considering factors such as vegetation characteristics and budget constraints, the system can comprehensively consider the dynamic changes of industrial development, the budget of green land construction in different stages, and the time sequence characteristics of vegetation growth, and generate a green land planning scheme that optimally matches carbon sink benefits and cost input within a planning period.

This invention discloses a YOLO-based method for detecting surface defects on printed circuit boards, belonging to the fields of computer vision and intelligent manufacturing technology. The method includes the following steps: deploying an industrial area scan camera at the inspection station of an automated production line; when a PCB enters the inspection station, the camera is triggered by a sensor to acquire and store images; the acquired image data is processed using data cleaning, data augmentation, and target annotation methods; the processed PCB defect dataset undergoes detailed statistical analysis to optimize the model training strategy; based on the data analysis results, optimization is performed using the YOLOv5 target detection framework to establish a surface defect detection model suitable for PCB production scenarios. This invention can effectively improve the automation level and detection accuracy of defect detection, is suitable for modern large-scale batch production of PCBs, and has good engineering application prospects and industrial promotion value.

The invention belongs to the technical field of anomaly recognition, and provides an elevator guide rail safety monitoring method and system in a sand and dust environment, and the method specifically comprises the steps: firstly, arranging a tension sensor and a vibration sensor in an elevator system, filtering the data of the vibration sensor in a lift car, and screening a tension anomaly track according to a tension value obtained by the tension sensor; judging the authenticity of the dust particle risk according to the tension value corresponding to the tension abnormal track and the vibration data, and finally feeding back the dust particle risk to the client or the application end. Whether the abnormal tension track of the elevator is caused by dust particle accumulation or not is effectively judged through vibration characteristic variation recognition, so that the abrasion risk of a guide rail and a guide shoe caused by dust pollution in the elevator application process in the high-dust environment is reduced, and unnecessary high-frequency manual inspection in the dust environment of a sand-dust area or an industrial area is reduced; and the safety and the maintenance efficiency of the elevator are greatly improved.

This invention discloses a production method for preparing artificial land using various types of stones, a complete technology for preparing artificial soil through on-site crushing and application to the comprehensive transformation of national land. This invention employs on-site mobile processing, avoiding transportation costs. A single unit can produce soil for 1500 mu (approximately 100 hectares) annually, with a standard farmland cost of only 2658 yuan per mu, and the cost of remediating polluted farmland not exceeding 10,000 yuan per mu. The produced soil has a thickness of 33.3 cm, does not compact, and has extremely high water retention; even after 10 days at high temperatures, the moisture content of the lower layer still reaches 70%. Heavy metal content in the soil and agricultural products is far below national standards, mercury was not detected, and it is safe to grow all grains and vegetables. This invention can be applied on a large scale to the remediation of polluted farmland and the enhancement of carbon sequestration in industrial areas. It can rapidly increase soil carbon sequestration, lower temperatures, and transform ineffective rocky land into high-yield farmland, completely solving global problems such as the extremely slow formation, rapid loss, non-renewability, arable land shortage, and global warming of natural soils. One-time transformation benefits millennia, possessing extremely high economic, ecological, and social value.

The invention discloses an industrial area soil detection system based on space-time big data, and relates to the technical field of soil quality detection. The accuracy of the soil time data and the soil space data is effectively improved; the method comprises the following steps: acquiring soil time data and soil space image data of an industrial area through a soil data acquisition module, and performing space-time correlation to generate an industrial area soil data space-time model; performing time correlation on the soil time data and the soil space image data according to the industrial area soil data space-time model to generate an industrial area soil data detection model; detecting the soil quality of the industrial area according to the industrial area soil data detection model to obtain time soil quality; a spatial data updating module is used for updating the soil spatial image data to obtain optimal soil spatial image data; and visualizing the optimal soil space image data to obtain soil visualized data.

The utility model discloses a skid-mounted pressurizing hydrogenation device capable of improving hydrogenation rate, which comprises a hydrogen storage module, a pressurizing module and a hydrogenation module which are all fixed on a skid-mounted base of a steel frame structure. The hydrogen storage module adopts a high-pressure storage tank and a low-pressure buffer tank which are connected in series, the high-pressure storage tank is connected with a quick connector through a tube bundle vehicle interface, a hydraulic control regulating valve in the low-pressure buffer tank is driven by a first hydraulic cylinder, and a tank body is provided with a pressure gauge for monitoring pressure; the pressurization module comprises a hydraulic drive booster pump and a gas-liquid separator, the hydraulic drive booster pump is driven by a second hydraulic cylinder, the gas-liquid separator separates liquid through a perforated plate, and a liquid outlet is connected with a recovery pipeline; the hydrogenation module is connected with high-pressure and low-pressure filling channels through a hydraulic control switching valve, and hydrogenation connectors are arranged at the tail ends of the channels. The device realizes rapid pressure increase through hydraulic drive pressurization, the switching valve supports rapid switching of high pressure and low pressure, the positioning groove fixing module ensures efficient deployment, and the device is suitable for scenes such as concentrated hydrogen supply in green parks or temporary hydrogenation in industrial areas.

The invention relates to the field of production city planning and design, and discloses an AI large model-based production city planning and design application text-graphics technology platform, which comprises a basic data processing module, which is used for carrying out collection, cleaning preprocessing and storage management on production city planning data; the AI large model building module is used for training and optimizing an AI model and managing a model knowledge base; the production city planning design application module is used for generating, evaluating and optimizing a production city planning scheme and providing multi-scheme comparison and selection; and a text-to-map technology support module. Through a production-city fusion development evaluation module, industry chain planning and city function layout are deeply fused, a space cooperation relationship between an industrial area and a life circle is accurately analyzed, job-housing balance and public service resource allocation are dynamically optimized, a cooperation effect between industrial vitality and city livability is significantly improved, and a good social benefit is achieved. And transformation and upgrading of city production planning from physical space superposition to function organic fusion are promoted, and systematic support is provided for high-quality development of cities.

The application discloses an industrial area atmospheric environment monitoring management system and method, relates to the technical field of industrial internet of things environment monitoring, and comprises the following steps: triggering polarization imaging to scan a target area based on the space-time information of an abnormal event signal, acquiring polarization characteristic data of a pollution plume, and generating a spatial distribution characteristic parameter; inputting a sound pressure abnormality index and the spatial distribution characteristic parameter into an industrial equipment leakage causal model, calculating a pollution source confidence, and acquiring an industrial equipment traceability result and a leakage level when the pollution source confidence reaches a process safety dynamic threshold; acquiring hierarchical control instructions according to the industrial equipment traceability result and the leakage level, calculating a measured attenuation rate of an industrial pollutant, and verifying a dynamic response effect; and the application breaks through the technical limitation of traditional pollution source positioning depending on static empirical formulas by cross-modal fusion modeling of acoustic abnormal information and pollutant spatial distribution characteristics.

The invention discloses a pollution particulate matter multi-stage filtering device for air treatment, and relates to the technical field of air treatment. Comprising a bottom frame and an upper frame, a top bin is formed at the upper frame, an opening is formed in one side of the top bin, a coarse filtering mechanism is arranged between the inner walls of the two sides of the top bin, a first fan is arranged on one side of the upper frame and exhausts air filtered by the coarse filtering mechanism again, a bottom bin is arranged below the upper frame, and a second fan and a bottom filtering device are arranged at the bottom bin. Through the multi-stage collaborative design of the coarse filtering mechanism and the bottom filtering device, pollution particles with different particle sizes can be efficiently intercepted, the contact area is increased through the hollow cylindrical rotary filter screen, and the purification efficiency of mixed pollutants such as PM2.5 and PM10 is remarkably improved through fine filtering of the bottom filter cylinder and the end filter screen; the problem that the single-stage filtering capacity of a small single machine is insufficient is solved, and the pollution treatment requirements of industrial areas, construction sites and other local scenes are met.

The invention relates to a novel water-thinnable silicone modified polyester resin based varnish composition and production method that is suitable for use in technical fields, tools or equipment that require resistance to high temperatures, has elastic properties and provides high temperature resistance. In particular, the invention relates to a water-thinnable silicone modified polyester resin-based varnish composition that withstand temperatures up to 400°C for use in motors and generators that require resistance to high temperatures, especially used in industrial areas and indoor areas.

The present invention provides an automatic calibration method and system for industrial area array cameras in the field of industrial area array camera calibration technology. The method includes: step S10, controlling the industrial area array camera to move to an area above a calibration feature; step S20, photographing the calibration feature to obtain a calibration photo, performing distortion correction on the calibration photo, using the calibration feature as a calibration mark point, and recording the machine coordinates of the photographing position at that time; step S30, dividing the pixel field of view into blocks to construct a point set of equally divided mark points; step S40, selecting the equally divided mark points and taking a difference between the calibration mark points, outputting a control parameter for the movement of the industrial area array camera based on the difference, completing an adaptive control process of a single-point spiral approximation, and recording the pixel coordinates and machine coordinates of the point; and step S50, executing an N-point calibration algorithm based on the pixel coordinates and machine coordinates to complete the calibration. The advantages of the present invention are: greatly improving the efficiency and safety of industrial area array camera calibration and greatly reducing the labor cost of industrial area array camera calibration.