32results about How to "Avoid production loss" patented technology

The invention discloses an injection molding machine fault emergency safety protection control system, which belongs to the technical field of fault emergency processing, and comprises a sensor system, an intelligent data analysis module, a self-adaptive emergency control unit, an alarm and display module and a safety protection module. The sensor system collects operation data of key components of the injection molding machine in real time; the intelligent data analysis module performs data analysis and fault diagnosis by using machine learning; the self-adaptive emergency control unit automatically adjusts parameters according to a diagnosis result, and emergently stops or recovers equipment operation; the alarm and display module sends an alarm signal in time and displays related information; the safety protection module guarantees the safety of equipment and personnel through an emergency braking sub-module, a protective fence sub-module, a fire alarm sub-module, a fire extinguishing sub-module and the like. All the modules work cooperatively, faults are effectively monitored and diagnosed, safe and stable operation of the injection molding machine is ensured, the production efficiency is improved, and the occurrence probability of safety accidents is reduced.

The invention relates to an air compressor fault diagnosis method and system and electronic device.The air compressor fault diagnosis method comprises the steps that current operation parameters of an air compressor are obtained, the current operation parameters are preprocessed, and input data are obtained, the operation parameters comprise a vibration parameter, a temperature parameter, an input pressure, an output pressure and a working current of the motor; according to the historical operation parameters and historical fault type data of the air compressor, a Transform model is trained to obtain a fault diagnosis model, the fault diagnosis model comprises multiple attention modules, and the multiple attention modules are used for calculating attention scores; and the state of the air compressor is diagnosed according to the input data and the fault diagnosis model, a diagnosis result is obtained, target data concerned during diagnosis is obtained according to the attention score, and supplementary interpretation is conducted on the diagnosis result.

The utility model relates to a mixing and feeding device for candy raw materials, which is used for mixing two kinds of raw materials. Comprising a first stirrer, a second stirrer, a blender, a first inflator pump and a transfer storage box which are used for conveying raw materials in the first stirrer to the blender, a second inflator pump used for outputting the raw materials in the blender, and a connecting pipeline assembly. According to the mixing and feeding device for the candy raw materials, due to the collaborative design of the connecting pipeline assembly, the first inflator pump and the second inflator pump, by achieving automation and mechanization of the mixing and feeding process, the labor cost is remarkably saved, the operation cost of an enterprise is reduced, the production efficiency and the product quality are improved, and the production cost is reduced. And real benefits are brought to the candy manufacturing industry.

The application discloses a kind of intelligent maintenance decision methods of refining equipment, comprising the following steps: S110 obtains the real-time monitoring data of each measuring point of refining equipment;S120 input the real-time monitoring data obtained into early warning model, determine whether equipment appears early fault warning, if yes, then enter step S130, if no, then return to step S110;S130 obtains equipment health degree evaluation grade and equipment dynamic risk evaluation grade according to health degree evaluation model and dynamic risk evaluation model respectively;And S140 carries out maintenance decision according to the evaluation grade obtained.The application also discloses a kind of intelligent maintenance decision system of refining equipment, electronic equipment and storage medium.The application combines early warning model of equipment based on real-time monitoring data driving, health degree evaluation model based on failure possibility influence factor and data driving, and dynamic risk evaluation model based on health degree real-time evaluation and fault consequence, so that accurate maintenance decision can be made.

The invention discloses a production management control system based on the Internet of Things, and relates to the technical field of injection molding machines, and the system collects production data in real time through an injection molding machine data collection server, and transmits the production data to a database server for storage through an Internet of Things module. And the IIS server provides a data access interface and supports remote access and monitoring of the injection molding station working panel, the mobile terminal and the billboard module. The system has the functions of data preprocessing, encrypted transmission, data backup and recovery and the like, and data security and accuracy are ensured. The billboard module displays the production data in real time and gives an alarm in case of abnormality, thereby improving the management efficiency. The injection molding station working panel and the mobile terminal support multi-platform operation, and remote management is facilitated. According to the invention, comprehensive monitoring and intelligent management of the production process of the injection molding machine are realized, the production efficiency is improved, the operation cost is reduced, and the product quality and the intelligent management level are remarkably improved.

The invention discloses a fan blade fault diagnosis method and device based on predictive coding, and the method comprises the steps: obtaining the high-dimensional image information of a fan blade, and converting the high-dimensional image information into a low-dimensional image feature vector; processing the low-dimensional image feature vector to obtain prediction representation information, and obtaining an error feature according to the prediction representation information and a preset reference tag feature; under the condition that the convergence condition is not met, a prediction error is determined according to the error characteristics, and the steps of processing the low-dimensional image characteristic vector and obtaining prediction representation information are executed again according to the prediction error until the convergence condition is met; and predicting the fault type of the fan blade according to the final error characteristics obtained when the convergence condition is satisfied.

The invention discloses an online regeneration system and method for a tail gas treatment system based on redundant parallel absorption kettles, and belongs to the field of tail gas treatment. The problem that an existing absorption method tail gas treatment system cannot intelligently, safely and efficiently achieve non-stop automatic replacement of absorption liquid is solved. According to the technical scheme, the system comprises an exhaust system, the exhaust system is communicated with a circulating absorption tower through a solid removal filter screen, a plurality of absorption kettles are arranged in the circulating absorption tower and contain various absorption liquids, the types of the absorption liquids contained in at least two absorption kettles are the same, and each absorption kettle is provided with a liquid collection tank and a liquid inlet tank; every two absorption kettles are communicated with each other through a pipeline, a plurality of on-off valves are arranged on the pipelines for communicating every two absorption kettles, the on-off valves are in communication connection with a control system, the control system comprises a control execution module, and the control execution module is electrically connected with an absorption liquid failure judgment module, a circulating absorption control module and a pressure reduction and flow stabilization module; the device is applied to tail gas treatment.

The present invention discloses a composite probiotic production safety monitoring method and system, which relates to the field of production monitoring technology, including deploying sensors to collect environmental data, analyzing environmental data to determine the stable state of the current environment and formulating corresponding measures, collecting raw material samples in strains and culture media for microbial safety detection after the environment is restored and stabilized, determining the qualified status of the raw materials and conducting pollution tracing analysis. The present invention collects environmental data in real time, and intelligently determines the initialization parameters of fermentation conditions according to the environmental state and the raw material state, thereby realizing full-process monitoring of the environment, fermentation conditions and strain morphological characteristics, and can timely capture the subtle characteristics of environmental fluctuations, raw material pollution and strain morphological changes, and generate corresponding control strategies based on abnormal classification results, effectively improving the safety and stability of production, realizing the precise positioning and classification of pollution sources in the production process, and being able to take targeted control strategies when pollution incidents occur to avoid production losses.

The utility model relates to a device of replacing belt conveyor lower carrier roller, including first fixed establishment, first limiting mechanism, first elevating system, first mounting mechanism, second fixed establishment, second limiting mechanism, second elevating system, second mounting mechanism and temporary carrier roller, wherein, first fixed establishment and second fixed establishment symmetrically set up in belt conveyor support both sides, first limiting mechanism, first elevating system, first mounting mechanism and first fixed establishment are used in pairs, second limiting mechanism, second elevating system, second mounting mechanism and second fixed establishment are used in pairs, and temporary carrier roller both ends are placed on first mounting mechanism and second mounting mechanism respectively, form the temporary support of conveying belt empty section. Replacing the fault lower carrier roller with temporary carrier roller supports the conveying belt, so that the belt conveyor can continue to operate in the replacement process, completely avoids the production loss caused by shutdown, and improves production efficiency.

The application relates to a compressor damage degree detection and maintenance method and device, wherein the steps of the method comprise the following: in the case that it is detected that the compressor is in a reverse rotation state, a first target operating parameter of the compressor is collected, and it is judged whether an immediate shutdown condition is met according to the relationship between the first target operating parameter and a first preset threshold value; if the immediate shutdown condition is met, the compressor is immediately controlled to be shut down; after the compressor is switched to a forward rotation state and stably operates, a second target operating parameter of the compressor is collected, the second target operating parameter is converted into a quantitative score representing a damage degree, a plurality of quantitative scores are weighted and fused according to the contribution degree of the second target operating parameter to reverse damage, and a comprehensive health index representing the damage degree of the compressor is obtained; according to the matching relationship between the comprehensive health index and a plurality of preset damage grade threshold value intervals, the damage grade of the compressor after reverse rotation is determined, and a maintenance strategy corresponding to the damage grade is output.

The utility model discloses a synergistic evaporative condenser which comprises a fan module, a water tank module and a coil pipe module, the coil pipe module is composed of at least one coil pipe module body which is detachably connected, and the fan module, the water tank module and the coil pipe module respectively comprise a shell. Shell ports of the fan module, the water tank module and the coil pipe module are all fastened and connected through bolts, a snakelike coil pipe is installed in a shell of the coil pipe module, a spraying pipe parallel to the snakelike coil pipe is installed at the top of the snakelike coil pipe, spraying heads are evenly installed on a pipe body of the spraying pipe, and the spraying heads are connected with the snakelike coil pipe. An inlet and an outlet of the snakelike coil pipe and an inlet of the spraying pipe extend to the outer side of a shell of the coil pipe module, the inlet and the outlet of the snakelike coil pipe and the inlet of the spraying pipe which are adjacent up and down are connected with flow dividing pipes through flanges, and production loss caused by overall shutdown is avoided through the rapid isolation function of a fault unit; and the unnecessary maintenance workload is also reduced.

The utility model relates to the technical field of multi-bottle grabbing, in particular to a multi-bottle grabbing device of a vegetable oil canning machine, which comprises a moving device and a grabbing hand, the moving device comprises a fixed seat, a base, mechanical arms and an extension arm, a plurality of mechanical arms are respectively arranged on a first surface and an adjacent side surface of the base, and the mechanical arms rotate through a rotating shaft, so that the multi-bottle grabbing device of the vegetable oil canning machine can grab multiple bottles. Filling of multiple vegetable oil tanks can be achieved at a time, and the oil filling speed and efficiency are high; the direction of the adjusting base is adjusted through the rotating shaft, movement is flexible and convenient, the grabbing position of the grabbing hand can be adjusted through the mechanical arm and the extension arm, grabbing is more accurate, efficiency is higher, pneumatic grabbing machinery is adopted, a rubber pad is arranged on the inner side of the grabbing hand, grabbing is more stable, and the situation that the vegetable oil tank slides off, working efficiency is affected, and production loss is caused is avoided.

The utility model relates to the field of paper box production equipment, and particularly discloses a leather shell machine facilitating edge covering. The edge pressing assemblies are arranged on the two sides of the conveying frame and used for compacting the sides of the leather shells needing to be subjected to edge covering; the edge covering frame is arranged at the front end of the conveying frame and used for supporting all the parts; the transmission assembly is arranged on the inner side of the edge covering frame and used for covering the two edges of the leather shell; through the arrangement of the edge pressing assembly, the position, needing edge covering, of the leather case can be compacted when the leather case is transported, the situation that the leather case moves and breaks away from the whole device in the transportation process, consequently, a production line stops and production losses of the production line are caused when the device conducts machining is avoided, meanwhile, the tightness between the leather case and a book case can be improved, convenience is provided for subsequent edge covering, and the production efficiency is improved. And the edge covering efficiency is improved.

The application provides a monitoring method and system for quickly monitoring a socket based on test data, relates to the technical field of data processing, and collects test qualified data of target test items corresponding to each test site in final chip testing; test qualified data is statistically counted based on a preset statistical quantity, monitoring data of each test site is calculated, a dynamic card control interval is determined according to the monitoring data; the current chip is subjected to final chip testing, real-time mean range of all test sites is calculated and updated based on a single test quantity, real-time comparison is performed between the real-time mean range and the dynamic card control interval, and an abnormal test site is determined; prompt alarm information is generated based on the abnormal test site to perform multi-terminal alarm, quick abnormal monitoring and maintenance can be performed before the socket is completely disabled, chip yield loss is reduced, and chip detection accuracy is improved.

The present application belongs to the technical field of hot-rolled strip steel rolling, and particularly relates to a method for improving crown control stability during frequent change of specifications, comprising: developing a batch self-learning program for strip steel crown; developing a self-learning program for front and rear strip steel crown; in the batch self-learning program for strip steel crown, adding 7 times of crown self-learning program, and adding a specific gravity scheme, taking the self-learning parameters of the last production as the main; and developing each rack roll shifting control parameters according to the product width range and thickness range. The present application reduces rework of most products, and provides quality assurance for smooth production of subsequent cold-rolled materials.

The utility model provides a separable nylon-6 melt filtering device which comprises a filter and a heat tracing jacket, the heat tracing jacket is of a barrel structure with an opening in the top end, an annular cushion pad is arranged on the bottom face in a heat tracing cavity, and the filter is detachably arranged in the heat tracing jacket. The utility model has the beneficial effects that the filter can be easily separated from the heat tracing jacket through the modular design, and the whole system does not need to be disassembled on a large scale or shut down for maintenance, so that the labor intensity of workers is greatly reduced, and the time and labor cost required by maintenance are reduced. In addition, the design further promotes rapid replacement and upgrading of the filter element, continuous and stable operation of a production line is ensured, production loss caused by long-time shutdown maintenance is effectively avoided, and the overall operation cost of an enterprise is further reduced.

The utility model relates to the technical field of clothes hanging assembly lines, in particular to a clothes hanger anti-falling structure of a ready-made clothes hanging assembly line, which comprises a hanging assembly line conveying frame, a conveying chain, a clothes hanger conveying anti-falling structure and a clothes hanger hanging track, and the clothes hanger conveying anti-falling structure and the clothes hanger hanging track are positioned at the bottom of the conveying chain. The multiple clothes hanger conveying anti-falling structures are evenly distributed and located at the bottom of the conveying chain. The hanger conveying device is simple in structure, good in stability and suitable for conveying of a common hanger hanging assembly line, the hanger matched with the hanging assembly line does not need to be used, the hanger can be effectively prevented from swinging or falling in the conveying process, the conveying stability and reliability are improved, meanwhile, the structure is convenient to maintain and replace, and the practicability is high. The service life can be effectively prolonged, and the production cost is further reduced.

The invention discloses a fan redundancy system for a heat dissipation and cooling device of an electrical cabinet, which is characterized in that an air-water cooling heat dissipation fan is arranged on a high-voltage frequency converter cabinet and is connected in series with a cooling fan of the electrical cabinet, so that the cooling fan of the air-water cooling device can perform redundancy on the cooling fan of the electrical cabinet; when the top fan of the high-voltage frequency converter cabinet breaks down, the fan of the cooling device normally exhausts air and cools. The equipment is simple and quick to mount; the equipment is long in service life, low in failure rate and reliable in performance; the operation cost is low.

The utility model relates to a silicon core furnace isolating valve structure which is structurally characterized in that the inner diameter of a throat of a valve cavity is 650mm, the side face of the valve cavity is connected with a valve cover through a hinge assembly, a valve plate assembly is arranged in the valve cavity and comprises a rotary vane valve plate and a valve shaft which are connected with each other, the valve shaft is installed on the valve cavity, and the upper end of the valve shaft is connected with a valve plate driving assembly installed on the top of the valve cavity. And valve shaft sealing assemblies are respectively arranged at the upper and lower joints of the valve shaft and the valve cavity. The valve cover has the advantages that 1) the valve cover of the valve cavity of the large-size isolating valve can effectively meet the drawing requirement of a silicon core furnace; (2) the loading strength can be ensured, the phenomena of slag falling, abnormal sound and the like during opening of an original metal gasket are avoided, and the crystal pulling quality and the personnel maintenance convenience are ensured; the vacuum airtightness of the whole isolating valve cavity can be guaranteed, the dynamic sealing performance is good, a sealing ring is resistant to fatigue, the service life is long, the integrated junction box design facilitates installation and maintenance and gas-electric pipeline layout and routing, the production cost can be saved, a water inlet hose can be protected through the isolating valve plate assembly, and safety accidents and production losses are avoided.

The invention discloses a chemical industrial park dangerous chemical supervision method based on identification analysis. According to the invention, by monitoring the operation data of the equipment in real time and predicting potential faults and maintenance requirements, preventive maintenance can be carried out in time, and downtime of the equipment caused by faults is avoided, so that the operation efficiency of the equipment and the overall production capacity of a park are improved. And through predictive maintenance, unnecessary maintenance work can be reduced, and the maintenance cost is reduced. And meanwhile, extra maintenance cost and production loss caused by equipment faults are avoided, and the cost is further saved. An RFID reading device is an important part of safety supervision of a chemical industry park, and the stable operation of the RFID reading device is directly related to the safety of the park. Through the predictive analysis model, the equipment fault can be found and processed in advance, and the safety accident risk caused by the equipment fault is reduced, so that the safety of the park is enhanced. The predictive analysis model can automatically generate a maintenance plan and early warning information, manual intervention is reduced, and the management efficiency is improved.

The invention relates to the technical field of electric energy storage, in particular to a source network load storage system based on wind power generation and photovoltaic power generation, an instruction module is used for pre-inputting a follow-up work instruction in follow-up time and executing the following steps: predicting power consumption data of a power consumption equipment module in the follow-up time according to the follow-up work instruction; predicting power generation data of the energy module in subsequent time according to the meteorological data; determining power gap data in subsequent time according to the power utilization data and the power generation data; according to the operation conditions of the current energy module and the electric equipment module, predicting the maximum electric quantity which can be stored by the power storage module before the subsequent time; and if the maximum electric quantity cannot meet the electric quantity required by the electric power gap data, giving an alarm prompt. And if the maximum electric quantity can meet the electric quantity required by the electric power gap data, the power storage module is controlled to supplement the power of the electric equipment module in the subsequent time. The stability and the reliability of continuous operation can be effectively improved.

A method and system for testing the pressure resistance of chemical storage tanks based on artificial intelligence, which obtains the temperature value, liquid level value and pressure value of the monitored chemical storage tank at multiple predetermined time points within a predetermined time period; arranges the temperature value, liquid level value and pressure value of the multiple predetermined time points into a temperature time series input vector, a liquid level time series input vector and a pressure time series input vector according to the time dimension; performs time series correlation coding on the temperature time series input vector, the liquid level time series input vector and the pressure time series input vector to obtain a chemical storage tank pressure resistance time series correlation feature; and, based on the chemical storage tank pressure resistance time series correlation feature, determines whether the pressure resistance performance of the chemical storage tank meets the predetermined standard. In this way, the operating status and performance changes of the storage tank can be automatically obtained in real time, and potential problems can be discovered in advance, avoiding production losses and human errors caused by traditional solutions, thereby improving the safety and reliability of the storage tank.

The utility model discloses a formaldehyde production line tail gas incinerator, which belongs to the technical field of incinerators and comprises an incinerator body, a three-way valve assembly is arranged on one side of the incinerator body, and the three-way valve assembly comprises a three-way valve body and a first handle. The three-way valve comprises a three-way valve body, first guide pipes are fixedly connected to the front face and the back face of the three-way valve body, a shell assembly is arranged on the other side of the three-way valve body and comprises a protective shell and a limiting ring, and a filtering assembly is arranged above the protective shell; by arranging the three-way valve main body, the first handle, the valve main body, the second handle, the first guide pipe and the second guide pipe, a convenient operating mechanism is designed, a user can control the flow direction of tail gas and the replacement of the filtering assembly by operating the first handle and the second handle, the operation is simple and convenient, and the convenience and the safety of the operation are improved; and the production loss caused by transient shutdown is avoided.

The utility model relates to a carrying device. The carrying device comprises a vehicle body, a storage rack, a first carrying mechanism, a second carrying mechanism and a moving mechanism. A temporary storage cavity is formed in the vehicle body; the plurality of storage racks are positioned in the temporary storage cavity and are connected with the vehicle body; the first carrying mechanism is arranged on the vehicle body and used for carrying the graphite boats located outside the temporary storage cavity to the storage frame or carrying the graphite boats on the storage frame out of the temporary storage cavity. The second carrying mechanism is arranged on the vehicle body and located in the temporary storage cavity, and the second carrying mechanism is used for driving the graphite boats to move among the multiple storage racks; the moving mechanism is arranged at the bottom of the vehicle body so that the vehicle body can move. According to the carrying mechanism, the problem that the graphite boat is damaged when the graphite boat is manually carried can be avoided, the graphite boat carrying efficiency is improved, and the graphite boat conveying difficulty is reduced.

This invention relates to the field of dust collector fan technology, and more particularly to a method and system for detecting faults in dust collector fans. The method includes collecting normal operating data of the target fan; inputting the normal operating data into a neural network model; calculating and outputting the motor operating current and motor speed values ​​through the neural network model; and obtaining a neural network mathematical model through training. The advantages of this invention are: by using an edge warning terminal to collect multi-dimensional operating data (vibration, noise, temperature, speed, and current) in real time at the dust collector fan equipment site, and by continuously training the operating data to construct a neural network mathematical model, it can capture subtle changes in operating parameters that deviate from a healthy state, issuing warnings in the early stages or potential phases of fault occurrence. This allows maintenance personnel to shift from traditional "reactive maintenance" to "predictive maintenance," intervening early in the nascent stage of a fault and effectively avoiding production losses caused by unplanned downtime.

The invention discloses a split type flange connection transmitter which comprises a lower flange and an upper flange, and the lower flange is detachably installed at the bottom of the upper flange. A macromolecule plug is installed on the edge of the top of the lower flange in a penetrating mode, a macromolecule plug air guide pipe is inserted into an inner cavity of the macromolecule plug, and a high-temperature-resistant waterproof plug is installed in the middle of the top of the lower flange. The top of the upper flange is provided with an inverted-T-shaped structure, the bottom of an inner cavity of the inverted-T-shaped structure is provided with a matched metal gasket and a fluororubber rectangular gasket, and a compression screw is inserted into the top of the inner cavity of the inverted-T-shaped structure. When the split type flange connection transmitter is used, only the sensing parts of two transmitters and a set of cable can be purchased, the purchasing cost of a customer is greatly saved, when the sensing part of one transmitter is damaged, the sensing part of a standby transmitter is replaced in time, and only the sensing part of the transmitter is returned to be used for maintenance; and the maintenance time and cost are reduced.

The invention discloses a method and a system for predicting residual power supply time of a UPS (Uninterrupted Power Supply) of a box transformer substation of a wind power plant. According to the method, after the UPS starts discharging, the real-time remaining power of the UPS, the power information of power supply equipment and the characteristic information of the UPS are input into a machine learning model to predict the current remaining power. Detecting whether the UPS is in a charging state, and if so, ending the prediction; if not, further detecting whether the discharge current is changed or not; when the current changes, recording the voltage at the previous moment, calculating the correction voltage after time delay, and updating the prediction table; and if the current does not change, recording the current discharge time, calculating the residual power supply time according to the current discharge time, and updating the prediction table. And finally, checking whether the current voltage reaches a cut-off value or not in real time, if not, returning to continuously detect the current state, and if so, selecting corresponding correction modes according to different discharge modes to predict the residual power supply time, and updating related data in the prediction table. The method can effectively adapt to complex working conditions of a wind power plant and accurately predict the residual power supply time of the UPS.

The invention discloses a method, device and equipment for determining the distance between an oil well and a fault, a medium and a product. The method comprises the following steps: determining a wellhead output curve, a bottom hole flow pressure curve and a wellhead output curve segmentation result; establishing a first virtual well according to a wellhead yield curve segmentation result; establishing a second virtual well corresponding to the first oil well according to the wellhead yield data; and determining a second bottom hole flowing pressure curve according to the first virtual well pressure and the second virtual well pressure, and iterating the first distance through a genetic algorithm to optimize the second bottom hole flowing pressure curve until an error value between the second bottom hole flowing pressure curve and the first bottom hole flowing pressure curve is smaller than a preset threshold value to obtain a target value of the first distance. According to the technical scheme, the problem that the distance between the oil well and the fault can only be calculated through well shut-in testing at present is solved, the distance between the oil well and the fault can be automatically determined through pressure data of normal production under the condition that the well is not shut in, the distance determination accuracy is improved, and meanwhile production losses caused by well shut-in are avoided.

The present invention belongs to the technical field of fault monitoring based on sound analysis, and specifically relates to a method for monitoring faults of electric power equipment based on sound spectrum analysis, the steps of which include: analyzing basic information of electric power equipment, comparing and obtaining sensor deployment schemes and fault assessment deviation values, analyzing basic characteristics of the sound spectrum of electric power equipment, judging whether the sound spectrum of electric power equipment is qualified, and judging whether there are faults in substations, transmission towers, and power transmission and transformation equipment. The present invention solves the problems of insufficient dynamic adaptability and lack of sound spectrum quality verification process in traditional electric power equipment fault monitoring methods. Combined with the fault assessment deviation values ​​of specific equipment, the accuracy of judging the type and degree of faults can be improved, and misjudgment and missed judgment can be reduced. Systematic sound spectrum monitoring and fault assessment can reduce the risk of unexpected downtime, improve the reliability and stability of the entire power system, and ensure the continuity and safety of power supply.

The invention discloses a poria cocos liquid strain culture formula and method. The poria cocos liquid strain culture formula comprises the following raw materials in parts by weight: 3-5 parts of soybean meal; 1-2 parts of corn flour; 1 to 1.5 parts of peptone; 8-12 parts of white sugar; 9 to 10 parts of glucose; 1 to 1.5 parts of monopotassium phosphate; 0.6 to 0.8 part of magnesium sulfate; 1000 parts of distilled water; the poria cocos liquid strain cultured by the method is short in preparation period, high in hypha activity, fast in hypha growth after inoculation, pure white in thallus, fast in feeding and high in biological conversion rate; meanwhile, the liquid strain can reduce the production and seed production cost, realizes rapid propagation and improves the production benefit.