266 results about "Production area" patented technology

The invention discloses a production enterprise-oriented pollutant degradation scheme recommendation method and system and a medium, and relates to the technical field of environmental protection, and the method comprises the steps: collecting multi-source pollution related data in real time in an enterprise production area, and uploading the data to a data processing center through an Internet of Things transmission network; a pollutant prediction model is constructed, pollutant generation prediction is carried out according to the preprocessed multi-source pollution related data, and the migration and diffusion trend of generated pollutants is analyzed; a pollutant generation prediction result and a pollutant migration and diffusion trend are used to construct a pollution portrait, a degradation technology is selected, and a degradation scheme is generated; and executing the degradation scheme to degrade pollutants, and acquiring operation parameters and degradation effect data of degradation equipment to perform equipment fault monitoring and degradation scheme optimization. According to the invention, through real-time monitoring, accurate data analysis and dynamic adjustment of a degradation scheme, and in combination with a novel composite degradation technology, continuous, efficient and stable treatment of pollutants is realized, and the influence of the pollutants on the environment is effectively reduced.

The invention belongs to the technical field of coal mine dust prevention, and relates to a fully mechanized coal mining face pedestrian area dust treatment method and device.The device mainly comprises a hydraulic support, an injection dust removal device, a dust removal control box, a main control box and a coal mining machine, the hydraulic support is used for supporting a coal mining face, and the injection dust removal device is arranged at the top of the hydraulic support; the device is used for generating negative pressure to suck and purify dust-containing airflow in a pedestrian area below the hydraulic support. The dust removal control box receives working signals of the hydraulic support and the coal mining machine, controls the injection dust removal device and is electrically connected with the main control box and the automatic pressure regulating valve. A locator is arranged on the leeward side of the coal mining machine to identify the position of the coal mining machine The device purifies dust-containing airflow through spray injection, covers a roadway bottom plate and a dust production area of the scraper conveyor, captures and wets coal dust, reduces raised dust and transverse diffusion of dust, reduces the dust concentration of a pedestrian area, improves the working environment and reduces dust harm.

The invention discloses an automatic quality monitoring system based on a nickel hydrazine nitrate manufacturing technology, and relates to the technical field of nickel hydrazine nitrate manufacturing. The system has the functions of integrating a multi-wavelength filter wheel module, a process stability monitoring module and the like, and full-parameter real-time monitoring of the reaction process is realized. A Savitzky-Golay filtering algorithm is adopted to calculate a reaction rate, an XGBoost model is combined to predict a quality grade, and a hierarchical control strategy is designed to cope with different quality risks. And the risk assessment module simulates a crystal growth process by using a reaction kinetic model, identifies key risk factors, constructs a risk matrix to divide production areas, and generates an assessment report. Spectral data are corrected through a three-dimensional compensation matrix, the type of a quality problem is judged by adopting a double-layer fusion algorithm, and closed-loop control is realized in combination with a PID controller and an emergency emission program. A monitoring interface displays key parameters and early warning information in real time, dynamic adjustment of process parameters is supported, the production process is optimized, and the product quality and the production efficiency are improved.

The invention provides a multi-module drying machine cluster intelligent control system, method and device and a storage medium. The system comprises a plurality of air compressors and a plurality of drying machines. The air compressors are connected to the air inlet end of the pressure stabilizing air tank in parallel, and the air inlet ends of the dryers are connected to the air outlet end of the pressure stabilizing air tank in parallel. The air outlet ends of the dryers are connected to the air inlet end of the energy storage air tank in parallel; the air inlet end of the modular dryer cluster intelligent controller is connected to the air outlet end of the energy storage air tank, and the target operation state of at least one dryer is adjusted according to the target air parameters of compressed air of the energy storage air tank and the adsorbent filling amount of the dryers. According to the technical scheme, many-to-many parallel connection of the air compressors and the dryers can be achieved, the starting number of the dryers is dynamically adjusted on the premise that all the air compressors are maintained to operate, flexible adjustment of regeneration energy consumption of the dryers in a non-full-load state in a production area is achieved, and the energy consumption utilization rate is increased.

The invention discloses a coal mine production risk assessment model construction method based on intelligent flexible production, and relates to the technical field of coal mine production risk assessment. According to the coal mine production risk assessment model construction method based on intelligent flexible production, a historical state data set including environment, structure, equipment and personnel is constructed, various reference values are combined, the mean value, fluctuation and range characteristics are comprehensively analyzed, a deviation judgment mechanism is introduced, hidden risks in the critical early stage are effectively identified, and the risk assessment accuracy is improved. The method breaks through the static judgment limitation that a traditional model only depends on a current threshold value, and extracts a multi-dimensional risk factor in a current state by obtaining historical environment, structure, equipment and personnel state data of a coal mine production area and combining corresponding reference data and risk coefficients. Finally, a risk assessment model based on linkage of risk factors and risk coefficients is constructed, dynamic risk identification and comprehensive judgment of a coal mine production area are realized, and the accuracy, adaptability and response efficiency of an assessment result are improved.

The invention belongs to the technical field of atmospheric remote sensing, and relates to an oil and gas field production area methane emission calculation method which comprises the following steps: acquiring simulated spectral intensity data and a column weight function; acquiring actually measured spectral intensity data; inputting the simulated spectral intensity data, the column weight function and the actually measured spectral intensity data into a weighted correction differential spectral absorption algorithm to construct a broadband spectral structure; training a full-connection neural network based on the broadband spectrum structure and the selected features; improving a weighted correction differential spectral absorption algorithm by using the trained full-connection neural network; acquiring the methane total column concentration according to an improved weighted correction differential spectral absorption algorithm; separating the total methane column concentration into a methane column concentration increment; calculating the methane emission of the oil and gas field production area according to the methane column concentration increment. According to the method, the influence of each factor is better and quantitatively expressed by using the full-connection neural network, the uncertainty caused by order selection of a low-order polynomial is reduced, the inversion result is more accurate, and the network structure is clear.

The invention relates to the technical field of business information processing, and provides a tax refund declaration risk detection method and system based on big data, a medium and equipment. Obtaining industrial data related to tax refund, screening out first data related to tax refund risk assessment from the industrial data according to the feature vector of the tax refund risk assessment target, and predicting the consumption of raw materials by using a yield ratio analysis model generated by pre-training, comparing the operation data, the sales data and the raw material consumption in the industrial data to generate a preliminary verification result of whether the tax refund declaration has a risk; according to the method, the tax refund declaration data are acquired, production areas and positioning data in the industrial data are compared with invoicing data in the tax refund declaration data, a logistics verification result is generated, abnormity and risk points in tax refund declaration are found in time, and finally a detailed risk assessment report is generated by integrating a preliminary verification result and the logistics verification result. Accurate identification and assessment of tax refund declaration risks are realized, and the accuracy and efficiency of risk assessment are improved.

The invention discloses a water gushing roadway curtain grouting construction method integrating a retention wall and grouting, which comprises the following steps: step 1, analyzing mine production layout and hydrogeological conditions according to known geological data of a coal mine goaf and a production area, and determining a water gushing roadway needing curtain grouting construction; secondly, a slurry blocking wall is built, the slurry blocking wall is arranged in the middle of the underground roadway or close to the intersection of the main roadway, and the relation between a lower coal roadway and a normal production roadway is cut off; thirdly, grouting filling is conducted on the roadway space through underground grouting filling and ground branch hole exposed coal roadway grouting filling, and grout filling is conducted on the roadway space; 4, construction branch holes are drilled along a top plate and a bottom plate of the roadway, high-pressure grouting is conducted to reinforce the top plate and the bottom plate, and a surrounding rock loose circle and top plate and bottom plate cracks are filled; the curtain grouting construction scheme integrating the retention wall and grouting is adopted, the waterproof and waterproof effect is improved, and the stability of the roadway is also enhanced.

The invention relates to the field of collaborative management scheduling, in particular to a digital supply chain collaborative scheduling method and system based on digital twinning, and the method comprises the steps: calculating the estimated stock of any production area; calculating an influence coefficient of any production area; obtaining a plurality of optional transportation paths of any production area, calculating the transportation risk of any production area in any optional transportation path based on the influence coefficient and the transportation loss rate, and obtaining the optimal transportation path of any production area; and obtaining an estimated supply quantity of any production area according to the estimated stock quantity, calculating a first product of the estimated supply quantity and the normalized transportation risk, taking an accumulated value of the first products of all the production areas as a transportation cost function, responding to a maximum value of the transportation cost function, obtaining an actual supply quantity of any production area, and completing collaborative scheduling. According to the technical scheme of the invention, the efficiency and precision of cooperative scheduling can be improved.

The invention relates to the technical field, and discloses an industry production data model construction method and system based on coal mine enterprise production data, and the method comprises the steps: obtaining all types of production data of all production regions of a coal mine enterprise in a preset time period; analyzing regional gradient features and time sequence gradient features of each type of production data; and analyzing data relationships in all types of production data of all production areas in the coal mine enterprise in a preset time period to obtain data entity connection features, and generating a multi-dimensional data model of the production data of the coal mine enterprise. According to the method, the regional gradient features and the time sequence gradient features of all types of production data in the coal mine enterprise are combined with the entity connection features in all types of production data in all production regions in the coal mine enterprise in the preset time period, so that the multi-dimensional data model capable of accurately reflecting the coal mine production law and trend is constructed; more comprehensive decision support is provided for the coal mine industry, and production optimization and safety management of coal mine enterprises are assisted.

The invention provides a heating station water supply device, and relates to the technical field of heating water supply, the heating station water supply device comprises a pipeline system and a control system, the pipeline system comprises a boiler fixed-row recycling water pump, a demineralized water supplementing source and a water supplementing pipeline, the input end of the water supplementing pipeline is connected with a demineralized water supplementing heating station, and the output end of the water supplementing pipeline is connected with a heating station circulating pump; the output end of the heating station circulating pump is connected with the dormitory area and the production area. The pipeline is additionally arranged at the outlet of the boiler fixed-discharge recovery water pump and connected to the water supplementing pipeline, the outlet of the boiler fixed-discharge recovery water pump is kept in a normally-open state, and when the boiler fixed-discharge recovery water pump operates, water supply of the heating station can be normally guaranteed, and a demineralized water supplementing source does not need to be started for water supplementing; therefore, water in the boiler fixed-discharge recycling water tank is used for supplementing water for the heating station, the use amount of old brine can be greatly saved, and the purpose of saving energy is achieved.

The invention belongs to the field of safety production management, relates to a data analysis technology, is used for solving the problem that synchronous monitoring and correlation analysis cannot be carried out on a production environment and risk behaviors of a production area in the prior art, and particularly relates to a safety production management monitoring method and system based on big data analysis. The management monitoring platform is in communication connection with an environment monitoring module, a behavior monitoring module, a safety evaluation module and a storage module; the environment monitoring module is used for carrying out production environment monitoring on a safety production area; the behavior monitoring module is used for monitoring and analyzing risk behaviors of the safety production area; the safety evaluation module is used for evaluating and analyzing the safety production state of the safety production area; according to the method, the safety production state of the safety production area can be evaluated and analyzed, the evaluation coefficient is obtained, the evaluation coefficient can be used for feeding back and evaluating the overall safety production state of the monitoring area, and safety supervision of the corresponding monitoring area is enhanced if necessary.

The utility model relates to the technical field of part transportation equipment, in particular to a bearing machining turnover device which comprises a pallet truck and a bearing turnover cabinet body, the bottom face of the bearing turnover cabinet body is fixedly welded to the center of the top face of the pallet truck, a cabinet door is hinged to the left portion of the front face of the bearing turnover cabinet body, and a push-pull rod is movably arranged on the right side of the bearing turnover cabinet body. Bearing hanging rods are fixedly welded to the back face of the bearing turnover cabinet body at equal intervals, and a rear baffle is movably arranged in the bearing turnover cabinet body. According to the bearing machining turnover device, the cabinet body provided with the hanging rods is used for loading and storing bearing rings, when the bearings are loaded into the cabinet, the bearings are pushed to move backwards while being placed in sequence, loading is more convenient and faster, when the bearings are taken out, the bearings can be pushed outwards through a rear baffle plate only by pulling a push-pull rod, and the bearing machining turnover device is convenient and fast to use. And the cabinet body is mounted on the carriage vehicle, so that transportation and turnover in a production area are realized, and the practicability is high.

The invention discloses an intelligent safety management and control system for a production area. The intelligent safety management and control system comprises a Beidou positioning data acquisition unit, a positioning data transmission unit, a cloud positioning data storage unit, a positioning data processing unit, a positioning data analysis unit and a safety management and control unit. According to the invention, through acquisition, transmission, processing and analysis of Beidou positioning data, effective identification of a safe distance between a motion trail of a person and a vehicle and an electrified area is realized; and meanwhile, an effective warning effect is performed on a target which enters or is pre-judged to enter a dangerous movement track area corresponding to Beidou positioning data through safety control on the current three-dimensional position coordinates.

The invention provides a staged drainage re-mining method for a full-water-filling single-slope room and pillar type re-mining area, and belongs to the technical field of coal mining. The problems of complex drainage construction and long period of the existing monoclinic room-column type re-mining area are solved; comprising the following steps: collecting geological data of a full-water-filling monoclinic room-pillar type re-mining area, and preliminarily evaluating coal seam and water accumulation conditions of the re-mining area; the drainage level is divided according to the inclination length of a coal seam in a re-mining area in the collected geological data, then drainage stages are divided according to the drainage level, drainage facilities of all the stages are arranged, and drainage work is conducted in sequence according to division of the drainage stages; drainage drilling construction: carrying out drainage drilling and detection drilling construction at each drainage level; the drainage progress is monitored in real time through the detection drill hole; coal pillar stoping preparation work, wherein coal pillar stoping work is started step by step along with proceeding of all the drainage stages; the method is applied to residual coal re-mining.

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 discloses an aerial logistics track system, and relates to the technical field of production material transportation devices, the aerial logistics track system comprises a mounting frame and at least one track body, a transmission cavity is formed in the track body, a sliding groove extending along a path track is formed in the track body at the bottom of the transmission cavity, and the sliding groove is communicated with the transmission cavity and the outside of the track body; the rail bodies on the two sides of the sliding groove are bearing faces, and the rail bodies located at the machining stations are provided with flow dividing channels. At least one track body is arranged in the production area, and the track body is fixed through the mounting frame, so that the arrangement of the aerial logistics track system can be realized, and the carrier can conveniently select paths according to production requirements. And according to different shapes and combination modes of the track bodies, the moving flexibility of the carrier in the whole aerial logistics track system is higher, and the overall production efficiency is further improved.

A method of developing a predictive model for sand production from a wellbore includes receiving an indication of sand ingress at one or more production zones within a first wellbore using a sand monitoring system disposed within the first wellbore, detecting, using a pressure monitoring system, a pressure within the first wellbore while producing the one or more fluids and detecting the sand ingress, determining one or more geophysical properties of the one or more production zones of the first wellbore, and determining a model that correlates sand ingress at each of the one or more production zones with a plurality of variables. The sand ingress occurs while producing one or more fluids from the first wellbore.

The invention relates to the technical field of coal mine production, in particular to a coal mine production control method and system based on a law enforcement recorder, electronic equipment and a storage medium, and the method comprises the steps: obtaining video data of a target production area under different visual angles, and converting the video data into a YIQ color space; performing three-dimensional semantic segmentation on the video data converted into the YIQ color space, and extracting a three-dimensional semantic segmentation result; constructing a production control model based on a three-dimensional semantic segmentation result; and analyzing the space-time relationship among different semantic objects by using the production control model, extracting a control strategy of the target production area and issuing the control strategy to underground workers. The objective of the invention is to realize accurate and intelligent control for coal mine production, reduce the influence caused by uncertain factors in the generation of a coal mine production control strategy, and improve the accuracy of the control strategy.

The present application relates to the technical field of power control, and discloses an air compressor power control method and system based on output demand detection, the method comprising obtaining architectural drawings and equipment deployment drawings of a production area to create a BIM model of the production area in a building information program, and importing the BIM model of the production area into a thermal fluid simulation program to create an air compression system model; receiving production plan information of the production area to determine the gas parameter time information of each gas-consuming device; inputting each of the gas parameter time information into the air compression system model, calculating the terminal gas consumption and transmission loss in different time periods, and then calculating the gas demand value to generate the gas demand time information; based on the gas demand time information and the attribute information of the compressor unit and the gas storage device, generating an air compression control instruction and sending it to the controller of the compressor unit, the gas storage device and the gas transmission pipeline; the present application has the effect of improving the consistency between the air compressor unit and the gas demand.

The invention relates to the field of production and transportation, in particular to an intelligent food production management system which comprises an area monitoring module used for periodically detecting the quantity of tasks to be executed and the quantity of key task points in a target production area so as to determine a production execution state; the regional analysis module is used for determining a corresponding regional analysis mode according to the production execution state; the first region setting module is used for determining the distribution state of each key task point according to the number of the related key task points, and determining a key scheduling region of each dense task point set and each discrete task point; the second area setting module is used for determining a key scheduling area according to the number of the associated task routes and the task completion degree; the equipment scheduling module is used for determining whether task scheduling is carried out on the second-class execution vehicles or not according to the proportion of the key route paragraphs, and determining a task scheduling mode of the to-be-scheduled vehicles according to the proportion of the first-class execution vehicles; the overall transportation efficiency in the food processing factory area is improved.

A gas reservoir water invasion intelligent regulation and control method, equipment and a storage medium relate to the technical field of oil and gas development, and mainly comprise the steps of randomly generating a production simulation model to construct a multi-target water invasion dynamic data set, training a machine learning model by using a normalized data set, and establishing a multi-target water invasion dynamic data set; calculating a main control factor influencing the dynamic state of water invasion and a weight corresponding to the main control factor by utilizing the trained machine learning model, establishing a comprehensive evaluation model of the drainage well, inputting corresponding parameters of a production well with water output in a well pattern of a production area into the comprehensive evaluation model of the drainage well, determining a drainage well pattern consisting of the production well and the drainage well, and evaluating the drainage well. Establishing a drainage and mining system multi-objective optimization mathematical model, and solving to obtain Pareto solution sets and well control parameters corresponding to different drainage and mining system schemes by using a multi-objective optimization algorithm; according to the method, the Pareto solution sets of different schemes and the corresponding well control parameters are accurately obtained through the multi-objective optimization algorithm, the water invasion damage of the gas reservoir is intelligently regulated and controlled, and a support effect is provided for stable production of the gas reservoir.

The invention discloses an informatization early warning monitoring system based on intelligent production, relates to the technical field of production informatization early warning monitoring, and solves the technical problems that in the prior art, the operation safety of production equipment in an operation area cannot be monitored, and meanwhile, early warning control cannot be accurately carried out in the operation process of the production equipment. According to the invention, the production equipment is monitored, the production equipment in a construction site production operation area is monitored, the safety of pedestrians or equipment passing around in the operation process of the production equipment is ensured, risks in the construction site production area are avoided, the influence on the construction site production progress is avoided, and meanwhile, the safety construction property of construction workers is reduced; in the real-time operation process of the construction site production operation area, the early warning platform sends an emergency control signal to the emergency control platform, and the emergency control platform carries out emergency control supervision on the construction site production operation area to prevent risks of production data in construction site production operation.

The invention provides a method for controlling an operation vehicle and a control system for mining mineral resources, and relates to the field of vehicle control, the field of unmanned driving and the field of intelligent mines. The method comprises the following steps: receiving resource demand information for producing a target mineral product, wherein the resource demand information represents respective corresponding demands of a plurality of target category resources required by a specified production area; task arrangement is carried out according to the demand quantity corresponding to the target category resources and the resource loading information of the candidate transport vehicles, a transport task related to the target category resources is obtained, and the transport task indicates that the transport vehicles loading the target category resources in the multiple candidate transport vehicles travel to a designated production area. The proportional relation among the multiple target loading capacities and the demand quantity proportion meet a similarity condition; and according to the transportation task and the charging demand information of the specified charging position in the specified production area for the target category resources, the transportation vehicle is controlled to run to the specified charging position to unload the target category resources.

This invention belongs to the field of power plant information technology and safety supervision, and discloses a method, system, equipment, and readable storage medium for identifying unlicensed operations in thermal power plants. The method for identifying unlicensed operations in thermal power plants includes the following steps: acquiring monitoring image data of the thermal power plant production area through cameras installed in the production area, inputting the data into a pre-trained behavior detection model for detection, and obtaining the probability P of personnel operation behavior appearing in the monitoring image data. 作业 And the corresponding location POS where the operation occurs; the probability P 作业 The results of comparing the results with a preset threshold P0 are used to identify unlicensed operations in thermal power plants. This invention can identify and monitor unlicensed operations, unauthorized expansion of work areas, and other violations, significantly improving the real-time performance, accuracy, and coverage of monitoring.

The invention relates to the technical field of production control, and discloses a moving path optimization system and method for high-precision flexible machining complete equipment. The method comprises the steps that a semantic map is established, the semantic map comprises a plurality of production areas, transportation channels exist between the production areas, and each production area has a corresponding production process; generating a production scheme based on the production target; taking the shortest path as a target, and generating an initial path diagram based on the production process and the semantic map; calculating the route saturation of a transportation channel in the semantic map based on the processing moving path, positioning a conflict area in the initial path map based on the route saturation, changing part of the processing moving path to reduce the route saturation, and obtaining an optimized path map; and performing priority ranking on the target product on the basis of the optimized path diagram to obtain a final moving scheme. According to the invention, path planning can be rapidly carried out on the flexible production process, and the time cost and the hardware cost are relatively low.

The invention provides a production equipment control method and system, equipment and a readable storage medium, and belongs to the technical field of equipment control, the method comprises the steps that a target production demand is acquired, and the target production demand comprises the target weight and the production duration of product alkali; on the basis of the target production requirements, regional production items of each production region are obtained, a plurality of production regions are provided, the production regions are obtained through division according to the alkali process production process, and each production region at least comprises one type of production equipment; determining an adjusting mode of the production area based on the area production item of each production area, wherein the adjusting mode comprises the start-stop state of each valve and the opening degree of each valve; and adjusting the production equipment in the production area based on the adjustment mode of each production area. The production efficiency of alkali products can be improved.

The present invention discloses an automated double-line prefabricated box culvert production system and a production method thereof, belonging to the technical field of box culvert production systems. The production system includes a pouring area, a curing area, a demoulding area, a transport track, a transport device and a central control system; the pouring area and the demoulding area are respectively arranged on both sides of the curing area; the transport track includes a first track, a second track and a third track; the transport device moves along the transport track; and the central control system is electrically connected to the pouring area, the curing area, the demoulding area and the transport device respectively. The pouring area and the curing area of ​​the present invention are respectively arranged on both sides of the curing area, so as to realize the partitioned fixed-point operation of pouring, vibrating and finishing work and demoulding and steel cage mold insertion work, reduce the number of movements, reduce the influence of movement inertia, and improve production quality; transfer stations are arranged at both ends of the production line, and two production areas are divided into left and right, so as to shorten the transportation distance. If necessary, both ends can be produced synchronously, and the two sides do not interfere with each other, which greatly improves production efficiency.

The utility model relates to the technical field of emulsion explosive production, in particular to a heat preservation and temperature rise system for an integrated liquid oil phase of an emulsion explosive, which comprises a tank truck, an emulsifier, an integrated liquid oil phase storage tank, an air source heat pump water heater, a hot water storage tank and a controller, a discharging port of the tank truck is communicated with a feeding port of the integrated liquid oil phase storage tank through a feeding pipe I. A feeding pump I and a feeding valve I are installed on the feeding pipe I. The feeding pump I is located between the feeding valve I and the integrated liquid oil phase storage tank. A discharging port of the integrated liquid oil phase storage tank is communicated with a feeding port of the emulsifier through a feeding pipe II. A feeding pump II and a feeding valve II are mounted on the feeding pipe II; the problems that in an existing oil phase preparation technology, due to the fact that a solid-state integrated oil phase provided by a steam heating supplier is adopted, an emulsifying agent is degraded at high temperature, manual operation is inconvenient, and the matching accuracy is difficult to control due to the fact that the oil phase is automatically prepared in a production area are solved.

The invention relates to the technical field of gas control, and discloses a coal-pillar-free self-formed roadway 110 construction method well up-down integrated area gas control method which comprises the following steps: S1, dividing a coal resource into a planning area, a preparation area and a production area according to the time of mine construction or mining operation of the coal resource; s2, gas pre-extraction treatment on the well in the planning area; s3, advanced treatment of underground gas in the preparation area; s4, precise advanced treatment of underground gas of the working face is carried out; and S5, working face stoping. According to the method, the above-well drilling pre-extraction technology is utilized, the above-well extraction purpose of replacing space with time is achieved, accurate advanced underground extraction is conducted on gas of the continuous working face through the coal-pillar-free self-formed roadway of the upper working face in the production area, and the underground extraction purpose of replacing time with space is achieved; the supporting pressure of the working face is reduced, the stress distribution rule is changed, the pressure difference between coal seam gas and roadway atmospheric pressure is reduced, and the crossheading gas emission amount is reduced.