5879results about How to "Reduce economic loss" patented technology

The invention discloses a rock debris annulus reinjection system. A water injection well is taken as a reinjection well, an inner annulus (9) is formed between a water injection pipeline (7) in the middle and a 9-5 / 8' sleeve (8), and an outer annulus (11) is formed between the 9-5 / 8' sleeve (8) and a 13-3 / 8' sleeve (10). The system is characterized in that: a water injection pipeline isolating valve (2), a pressure control valve (3), an inner annulus isolating valve (4) and an inner annulus pressure meter (5) are arranged between an extension pipe (1) of the water injection pipeline (7) and an outlet pipeline (6) of the inner annulus (9). The system is used for the rock debris reinjection operation technology of offshore oilfield drilling; and when rock debris is reinjected into the outer annulus between the 13-3 / 8' sleeve and the 9-5 / 8' sleeve, the allowable outlet pressure of the pressure control valve is adjusted, and the inner annulus is pressurized, so that rock debris reinjection slurry cannot flow into the inner annulus, the space of the inner annulus is protected, and the completeness of the water injection well is protected.

A smart electricity meter with a function of monitoring and protecting power failure comprises a metering chip, a leakage current sampling circuit, a phase current sampling circuit, a phase voltage sampling circuit, a CPU (central processing unit), a power module and a low voltage breaker. The leakage current sampling circuit is electrically connected with the metering chip which is mutually electrically connected with the CPU. The CPU is electrically connected with the low voltage breaker through a trip output port. The low voltage breaker is electrically connected with the CPU through a status acquisition interface. The invention further provides a power failure monitoring and controlling method of the smart electricity meter. The smart electricity meter has the advantages that the reliable power module for power failure protection and control is provided, various types of power failure warning and protection are provided, failure warning and failure protection for voltage, current, power and the like are achieved for power users, failure spots are prevented and isolated, economic loss and personal safety accidents due to failure of electric circuit equipment of the users are prevented and reduced, and reliability of low voltage grids is effectively improved.

The invention relates to the field of a robot, in particular to an industrial robot control system based on visual positioning and a control method thereof. The control system provided by the invention is convenient to operate and has the advantages of simple structure and high efficiency and accuracy. In artificial teaching process, positioning motion control process and oriented motion control process of the control method provided by the invention, the positioning of luminescence mark points or the ends of an operating tool is performed in the coordinates ow, xw, yw and zy of a visual measuring device, thus the control system has no requirement on the motion control accuracy of the robot and the relative position relation of the coordinates of the tool and the coordinates of the robot, and the control method only requires linear motion realized by the rotation of axes from the first axis to the third axis and rotary motion realized by the rotation of axes of axes from the fourth axis to the sixth axis according to the theoretical model of the robot and, thereby fundamentally avoiding the extremely strict requirements on the accuracy of a robot model and the calibrating accuracy of the coordinates of the tool in conventional off-line programming teaching and meeting the operating requirements of a complicated track with high accuracy.

The invention provides a method for evaluating corrosion in a buried pipeline. The method for evaluating the corrosion in the buried pipeline comprises the following steps of: preliminary evaluation of corrosion detection in the buried pipeline, indirect detection and evaluation of the corrosion in the buried pipeline, direct detection and evaluation of the corrosion in the buried pipeline, and validity evaluation of direct evaluation ICDA of the corrosion in the buried pipeline and reevaluation time determination. At present, many in-service pipelines of petroleum enterprises sequentially enter a frequent accident period and an important stage of maintenance and update. By the method for evaluating the corrosion in the buried pipeline, levels of safe operation management and technology of the buried pipeline are improved, economic loss of personnel and facilities due to sudden accidents can be reduced, and safe production is ensured; the application potential of the in-service old pipelines is fully exerted, and the service life of the pipelines is prolonged; reliability and economical efficiency of pipeline engineering construction and operation are improved, and petroleum production and engineering costs are reduced; and environmental destruction caused by the sudden accidents is slowed down.

The invention discloses a shield construction method of digging three parallel tunnels under a trunk railway, which belongs to the field of tunnel construction technology. The construction method of the invention comprises the procedure that: the model analysis on each construction sequence and method is made by a three-dimensional finite element and the shield construction sequence is selected; to select the reinforcement project of the railway bed is selected according to the influence degree of the dynamic stress, the load-carrying structural model is adopted to calculate and decide the shield area reinforcing bars enhancement project under the dynamic load of the railway train; the construction parameters are selected according to the test results and the performance of the shield machine, the front earth pressure is reasonably set , the synchronizing mortar injection is enhanced, the forward digging speed and the axis deviation are strictly controlled, the secondary mortar injection is made, the foam or mud is filled by utilizing a pre-embedded injection hole; the strict monitoring measures to monitor the shield construction process is adopted so that the construction unit can adjust the construction parameters in time and guarantee the construction safety. The invention not only guarantees the construction quality and the construction safety of the project but also creates good economic benefit.

The invention discloses an access control system and an access control method between a public cloud and a private cloud. The access control system includes a private cloud control module at a private cloud end, and a public cloud control module at a public cloud end. The private cloud control module comprises an inter-cloud data exchange module and a user access control module. The inter-cloud data exchange module is respectively connected with the user access control module and the public cloud control module through a network. The access control method combines role-based access control and attribute-based access control, an attribute-based access control mode is adopted in the private cloud, and a role-based access control mode is adopted when the private cloud accesses the public cloud. Due to the fact that the access control system limits the access right of users of the private cloud to resources or services of the public cloud, the access control system has the advantages of being quite high in inter-cloud data exchange safety.

The invention relates to a smoke / flame detection method based on video image analysis. The existing fire monitoring mode is limited by a plurality of geographic conditions and infrastructure constructions. The method comprises the following steps: firstly performing the motion detection on an acquired video image by using a Kalman filter; secondly analyzing the colors of smoke and flame to obtain a smoke pixel region and a flame pixel region; then using a decision machine to determine whether a corresponding region is detected, and extracting the feature of the determined region; and finally performing normalization conversion on the extracted feature so as to adapt to hidden Markov model flame detection and neural network smoke detection. The outdoor smoke and flame can be detected simultaneously by using the smoke / flame detection method based on the video image analysis so as to warn the forest fire; and the effect predicting the forest fire at an early stage is achieved, and the economic loss caused by the fire can be reduced.

The invention provides an electric energy metering device remote monitoring diagnostic system which comprises an electricity consumption information acquisition system, a communication server, a data acquisition and analysis server, a database server, a service information server, a Web server, a workstation computer and data buses, wherein the electricity consumption information acquisition system is used for transmitting data through the communication server and the data acquisition and analysis server; and the data acquisition and analysis server, the database server, the service information server, the Web server and the workstation computer are electrically connected with each other in a signal connection manner through the data buses. A working method of the system mainly comprises the steps of acquiring data, calling data, analyzing, warning faults and outputting retroactive electric quantity information. According to the system and the method, the promptness of the electric energy metering device fault discovery and processing is improved and benefits are brought to improve the electric energy metering monitoring and management level of the power supply units, decrease the electric quantity retroaction disputes, save a mass of man power and material resources, improve the work efficiency, reduce the loss and improve the efficiency.

The invention discloses a video-analysis-based antitheft monitoring method for a physical store. The method comprises the following steps of: tracking the motion trail of a customer in the physical store in a video analysis way, identifying the hand motion and upper limb motion of the customer at a specified place of the physical store, and judging whether the customer conducts suspected theft or not by combining commodity changes before and after the customer leaves the specified place; and when the customer is determined to conduct the theft, continuously tracking the customer, and transmitting a prompt to service staff or security staff in the store when the customer tends to leave the physical store. The suspected theft information of the customer when the customer browses commodities in the physical store can be quickly and accurately captured, and theft judgment accuracy is improved through continuous tracking. Therefore, economic loss caused by the theft of the customer to the physical store is greatly reduced on the premise of substantially no increase of labor cost, and the economic benefits of the physical store are improved.

The invention provides a multi-element synergic plugging agent and application thereof. The multi-element synergic plugging agent comprises the component 1 or the component 2, wherein the component 1 comprises the following components in parts by weight: 40-50 parts of rigid particles, 15-20 parts of a flexible material, 15-20 parts of an ultrafine filling material, and 15-20 parts of an expansive type polymer: the component 2 comprises the following components in parts by weight: 50-70 parts of rigid particles, 10-25 parts of a flexible material, 10-25 parts of an ultrafine filling material, and 10-30 parts of an expansive type polymer. The multi-element synergic plugging agent disclosed by the invention combines the rigid material with the flexible material, incorporates the elastoplasticity, fully utilizes the synergistic function of the materials, can effectively plug the cracks with different widths, has the performances of high bearing strength, high temperature resistance, deformability and strong binding powder of the cracked stratum, and can be applied to the leaking stoppage operation for the drilling engineering to solve the leakage problem at different degrees.

The invention provides a transparent vacuum pipeline which is characterized by consisting of a pipeline framework and a transparent sealing plate, wherein the pipeline framework is provided with an inner-layer sealing supporting ribbed plate and is provided with a technical sealing plate insertion slot. when in need of maintenance, a technical sealing plate is inserted between the inner-layer sealing supporting ribbed plate and an outer-layer pipeline, so that the whole easy-to-break outer-layer pipeline cannot leak in replacement and maintenance processes, and normal passing of trains in the pipeline cannot be affected; non-stop maintenance is realized, the phenomenon that the whole high-speed railway stops running due to damage to the pipeline or maintenance of the pipeline is avoided, energy for vacuumizing at each time is saved, and a vacuum pipeline high-speed railway technology is more energy-saving.

The invention belongs to the technical field of animal virology and genetic engineering, relating to pseudorabies virus which lacks parts of virulence gene of min strain A of pseudorabies virus, and the process for preparing vaccine with the virus. The DNA recombinant technology is employed to artificially remove all or parts of albumen code area of a plurality of genes of TK, gE, gI, 11K, and 28k which are unnecessary genes and duplicate virus of viruses and influence the virulence in the pseudorabies virus, thereby lowering the virulence of the pseudorabies virus, achieving attenuated vaccine strains SA215 of which the attenuation genetic engineering is lack, preparing vaccine with SA215 virus, and immunizing animals to effectively prevent and control the occurrence and prevalence of the pseudorabies.

The invention discloses a water leakage detector, a water leakage detecting system and a water leakage detecting method. The water leakage detector comprises an acquisition device and a processing device, wherein the acquisition device is used for acquiring sound signals for preprocessing; and the processing device is used for performing Fourier transformation of the sound signals, performing frequency analysis and calculation, extracting features of the sound signals, performing power spectrum estimation for the sound signals to analyze frequency components of the signals, and judging whether leakage exists or not according to peak values and bandwidths of a power spectrum. The water leakage detector and the water leakage detecting system are simple and accurate in detection, and a water leakage fault can be recognized according to a pattern recognition method and by means of Fourier functional transformation and power spectrum analysis, so that maintainers can remove the fault as soon as possible and replace water pipes, waste is avoided, water supply quality is guaranteed, and economic loss is reduced. Besides, the problem of waste due to difficulty in water supply leakage detection is avoided, and the detecting method is accurate and convenient in control.

The invention discloses a denitration spraying ammonia automation control method which is applied to a coal-fired boiler SCR system. The method comprises the following steps of acquiring a total air volume of a boiler and an entrance nitric oxide content of the system, and multiplying the total air volume of the boiler by the entrance nitric oxide content of the system so as to obtain a total nitric oxide content in a flue gas; according to the nitric oxide content, using a predetermined basic spraying ammonia amount feedforward function to obtain a basic spraying ammonia amount; according to an entrance nitric oxide content set value of the system, acquiring a correction coefficient of the predetermined basic spraying ammonia amount, multiplying the correction coefficient by the basic spraying ammonia amount so as to obtain a target spraying ammonia amount, and taking the target spraying ammonia amount as a denitration spraying ammonia amount. By using the method, a theoretical spraying ammonia amount can match an actual-needed spraying ammonia amount; a probability of excess emission of nitric oxide and an environmental protection risk brought by the excess emission can be reduced; and negative effects and economic losses brought by excessive spraying ammonia are decreased.

The invention discloses a wind power quality trend predicting method. The wind power quality trend predicting method includes steps of 1), establishing a power quality trend predicting index system; 2) acquiring data; 3), establishing 'corresponding working condition relation table' of a probability density distribution model of historical monitoring data of power quality trend prediction indexes and wind speed / wind direction data corresponding to the probability density distribution model; 4) matching and analyzing working conditions; and 5) predicting power quality trends of power quality trend prediction indexes of wind power public connecting points in a certain future time and storing prediction results of power quality of various prediction indexes into a database. The wind power quality trend predicting method can predict trend of power quality of key power quality indexes of the wind power public connecting points by means of historical power quality monitoring data.

The invention provides an intelligent identification picking robot and a picking method. The problem of picking Chinese chestnuts at high positions is solved. The intelligent identification picking robot comprises a lower computer and an upper computer. The lower computer comprises a four-wheel intelligent moving platform 10, a first control cabinet 7, an image collecting module, a Chinese chestnut picking module, a chestnut collecting box 3, a weighing module 4, a wireless video transmission module, a power source 9 and a GPS locating module 44. The upper computer comprises a PC 39, a wireless video receiving module 36, a data collecting card 37, a second main control module 38, a second control cabinet 35, a receiver antenna 34 and a video transmission line. By means of the robot, the Chinese chestnut picking labor productivity is improved, labor intensity of farmers is lowered, picking cost is lowered, timely picking of Chinese chestnuts and Chinese chestnut quality are guaranteed, and the robot has immeasurable significance in improvement of modernization and intelligence of the agriculture in China and acceleration of agricultural science progress.

The invention relates to a high-speed rail power quality abnormal condition prewarning method based on a dynamic threshold. The method includes the following steps of (1) building a high-speed rail power quality prewarning index system, (2) collecting historical power quality data and traction load amount corresponding to the historical power quality data, (3) building a high-speed traction station power quality abnormal state prewarning reference database, (4) detecting a power quality prewarning index abnormal state during online monitoring and prewarning, and (5) prewarning the high-speed rail power quality abnormal state. By means of the historical power quality monitoring data, the high-speed rail traction station power quality abnormal state which is monitored in real time is prewarned, power supply and consumption parties can learn about the high-speed rail traction station power quality abnormal state, power quality potential risks can be found in advance, operation reliability and economical performance of a power grid are improved, and safe operation of the power grid is guaranteed.

The invention discloses an on-line transmission line lightning shielding failure trip early-warning method. The method comprises the following steps of: performing statistics on historical lightning shielding failure trip information to obtain transmission line lightning shielding failure trip probability distribution by a two-dimensional information diffusion theory and a conditional probability method; selecting radar forecast data, such as echo intensity, echo tops and vertical accumulated liquid water content; establishing a lightning current magnitude prediction model based on a back propagation neural network; and sending real-time early warning and an early warning grade of transmission line lightning shielding failure trip probability according to the predicted lightning current magnitude and the side distance to lightning stroke and by virtue of the transmission line lightning shielding failure trip probability distribution model. According to the real-time forecast data of a meteorological radar, the method provided by the invention can predict the trip probability of a transmission line and send an early warning signal, thereby providing reference for decision-making analysis of grid dispatching operators, making a transmission line dispatching strategy in time, improving power supply reliability, lowering economic loss of a grid, and improving the reliable running ability of the grid.

The invention discloses a power distribution network line fault on-line monitoring and alarming system. The system includes a fault positioning software system and a power distribution line fault indicator. The fault positioning software system and the power distribution line fault indicator cooperate. The fault positioning software system includes an intrastation grounding line selection apparatus, a communication front-end processor, an injection signal source and an aerial conductor line fault positioning main station monitoring system. The grounding line selection apparatus and the injection signal source serve to perform single phase grounding fault positioning. The power distribution line fault indicator and a data acquisition concentrator are outrastation apparatuses. The data acquisition concentrator and the power distribution fault indicator form a subnetwork. Among the subnetworks, a monitoring system for a line via the intrastation communication front-end processor is constituted. The fault positioning software system and the power distribution line fault indicator communicate by using cascade via radio frequency. According to the invention, with the cooperation between the fault position software system on a fault line selection host computer and the power distribution fault indicator which has communication function on the line, information which indicates the position and time of the fault can be displayed within minutes of the occurrence of the fault on a geographic information system map of a monitoring center, which facilitates maintenance personnel to head to the site of the fault, eliminate the fault and increase reliability of power supply.

The invention discloses a clustering analysis-based intelligent fault diagnosis method for an antifriction bearing of a mechanical system. A diagnosis model is trained firstly, comprising the following steps: collecting standard vibration signal samples of five fault and normal bearing states of an outer ring, an inner ring, a rolling body and a holding frame; decomposing signals, extracting original vibration signals as well as time domain and frequency domain characteristics of decomposed components to obtain an original characteristic set; removing redundancy by means of a self-weight algorithm and an AP (Affinity Propagation) clustering algorithm to obtain Z optimal characteristics; classifying sample statuses by means of the AP clustering algorithm to obtain a well-trained diagnosis model. A fault diagnosis is performed by the following steps: collecting real-time vibration information of a bearing, decomposing the signals, extracting the optimal characteristics determined by the model, importing the AP clustering algorithm to cluster parameters based on the diagnosis model, comparing with the Z characteristics known in the model to obtain a category of a current unknown signal, so as to complete the fault diagnosis. According to the clustering analysis-based intelligent fault diagnosis method disclosed by the invention, both EEMD (Ensemble Empirical Mode Decomposition) and WPT are utilized to decompose the vibration signals, more refined bearing status information can be acquired, the self-weight algorithm and the AP clustering algorithm increase intelligence of the diagnosis, and therefore accurate diagnosis is ensured.

The invention discloses a speed limit sensing and vehicle speed control device which comprises a speed limit signal generation and on-vehicle receiver, a vehicle speed sensor, an over-speed prompt and control device and an ECU, wherein the signal generation and on-vehicle receiver comprises a speed limit launcher and an on-vehicle GPS, and the over-speed prompt and control device comprises an air throttle control motor and an accelerator pedal sensor; the on-vehicle GPS, the vehicle speed sensor, the air throttle control motor and the accelerator pedal sensor are all connected with the ECU, the speed limit launcher launches and edits GPS signals with road speed limit information, the on-vehicle GPS receives the GPS signals and sends the GPS signals to the ECU, and when the current vehicle speed which is transmitted to the ECU by the vehicle speed sensor is larger than the road speed limit, the ECU controls the air throttle control motor to run and then controls the current vehicle speed. The device realizes reasonable control of existing devices by electric control to realize the control of vehicle speed limit, and utilizes precise positioning of GPS to realize precise sensing and receiving of speed limit.

The invention relates to a coal-fired power plant coal yard refined management system and a control method of the coal-fired power plant coal yard refined management system. The coal-fired power plant coal yard refined management system is characterized by comprising a laser disc coal instrument, an intelligent temperature monitoring meter, a metering device, a stacker-reclaimer, a data acquisition unit, a controller, a data server, an application server and a computer client side. The application server comprises a coal database management module, a real-time stock management module, a coal storage management module and a heat loss evaluation and control module. The control method is characterized by including the following steps that coal pile outline data points and digital signs in a coal yard field are acquired according to the laser disc coal instrument, and three-dimensional reconstruction of coal piles is completed based on a VC++ and OpenGL platform; when coal is transported to a factory, information is input to the coal database management module through an input port in the computer client side. According to the coal-fired power plant coal yard refined management system and the control method, the informatization and intelligentization method is adopted, information is quickly and accurately transmitted, and coal heat loss is reduced.

The invention relates to a test method of an L3-level autopilot system of vehicle-in-loop based on a virtual driving scene. The method comprises the following steps of observing a kinematic state of avehicle, wherein the kinematic state comprises a position and a course angle, and is used for updating a vehicle pose in the virtual scene; establishing a sensory system model, wherein the sensory system model comprises four perception equipment models of vision, a millimeter wave radar, a laser radar and an ultrasonic radar; injecting virtual test scene libraries, and predefining three types oftest scene libraries including system driving scene working conditions, emergency working conditions and human-computer interaction working conditions according to an application scene of the L3-levelautopilot system; rendering in the virtual scene according to a pilot position parameter to generate a scene visualization visual angle; and recording and evaluating test data, including algorithm performance quantitative evaluation indexes and system evaluation indexes, and finally outputting comprehensive summary evaluation indexes of the L3-level autopilot system. Through the test method disclosed by the invention, the typical application scene of the L3-level autopilot system can be tested and evaluated in a limited experimental site.

The invention provides a targeting sgRNA for pig CD163 gene editing, a modification vector, and a preparation method and application thereof, which relate to the technical field of gene engineering. The sgRNA and the gene modification vector provided by the invention have high specificity, and can be used for efficiently editing a pig CD163 gene on a cell level through a CRISPR / Cas9n system. According to the preparation method of a blue-eared disease resistant pig provided by the invention, a blue-eared disease virus receptor is damaged, the target gene CD163 is edited, no other exogenous gene is intruded, no non-specific editing is carried out on a non-CD163 gene area on a genome, a genetic background is clean and clear, and the work of later transgene safety evaluation is greatly reduced. The blue-eared disease resistant pig obtained by utilizing the invention can be ensured to survive normally, and resists the infection of a blue-eared disease virus, so that the economic loss caused by the blue-eared disease in pig husbandry is greatly reduced.

The invention brings forward a transformer station optical fiber fault locating system and method, and relates to the field of optical fiber fault detection. A monitoring center comprises: a data management module, a monitoring control module and an alarm module. The data management module is used for maintaining and managing testing information of the monitoring center itself and testing information and parameter configuration information which are sent by a monitoring station. The monitoring control module is used for managing testing information and parameter configuration information of the monitoring station. Testing information and parameter configuration information of the monitoring station are analyzed and stored. Optical fiber performance information acquired by the monitoring station is sent to the monitoring control module to analyze, and the analyzed testing information, parameter configuration information and optical fiber performance information are judged so that warning information is obtained. Warning information is transmitted to the alarm module which is used for locating warning information via geographical location information pre-stored by the alarm module so that fault location information is displayed.

A multi-agent-based urban power grid isolated island black-start system and method belongs to the field of operation control of power system field. A plurality of units which can achieve splitting isolated island operation are configured in main power plants in advance, the units are required to be capable of supplying first-class and second-class loads or providing start capacity of other power plants after undertaking auxiliary power load and can guarantee stable operation of auxiliary powers after emergency load shedding; when a power grid system suffers from large disturbance or has a major fault, transformer substation monitoring agents of an affected area and power plant monitoring agents can actively split into isolated island operation states, when the fault is finally evolved into a blackout, all the stable-operation power plant stage and transformer station stage isolated islands in the power grid report respective isolated island operation conditions to a power grid monitoring center agents. The multi-agent-based urban power grid isolated island black-start system and method can greatly shorten power grid black-start time and reduces economic losses and social influences caused by the blackout.

The invention relates to a detection system for simulating inner leak of a valve and a method thereof. The state of inner leak of a valve is simulated by controlling different openings of the valve, signals are transmitted through a differential pressure transmitter, a flow sensor and an acoustic emission probe, and corresponding data of each group is acquired by the data acquisition software at the rear end. Moreover, a set of judgment software is formed based on a great quantity of data, which can judge whether inner leak of the valve happens and judge the magnitude of leak by calling the corresponding information in a database when in field offline detection. The simulation system provided by the invention comprises medium storage tanks 1 in sequential connection and a two-level pressure reducing valve 2, a stop valve 3, a filter 6, a second valve 9, a to-be-detected valve 8, a third valve 10, a visual window 13, a flow meter group 14 and a collection tank 17.

The invention provides a monitoring device which is used for the high voltage cable connector status in a mine roadway, wherein, a temperature sensor, a humidity sensor and a current transformer are connected with a data acquisition unit through signal wires; the data acquisition unit, a data storage unit, a keyboard, a display unit, a clock unit and an acousto-optic warning unit are connected with a microcontroller unit through an I / O port; and the microcontroller unit is formed by the connection between a serial port and a communication unit. The invention is simple in structure, low in cost, safe and reliable in performance, and can monitor the temperature, current and humidity of the cable connector in real time, thus being applicable to the monitoring of high pressure cable connection device in the mine roadway and other high voltage electric power equipment.

The invention discloses a pump unit typical health status monitoring device and method based on Internet of Things, and belongs to the technical field of intelligent diagnosis of fluid machinery Internet of Things. The pump unit typical health status monitoring device is arranged to be an erecting pump unit platform. Signal collecting sensors are arranged on the pump unit to form an Internet of Things sensing layer which is used as a collection module of data transmission, and forms an Internet of Things network layer with communication protocol; and a field monitoring platform forms an Internet of Things application layer by a touch screen / PC and compiled upper computer software. Functions performance testing, signal processing, fault diagnosing, health evaluating, database managing and remote monitoring and real time monitoring of the pump unit are achieved. Integration, automation and intellectualization of the system are high; predicative maintenance is achieved; occurrence of major accidents and economic loss are avoided, alleviated and reduced; optimal management of pump unit operation is facilitated; benefit level is improved; and pump unit overhauling and maintenance basisis provided.

The invention relates to a method for designing a rock breaking cutterhead combined by flexible expanding excavation hobbing cutters and water jets, and belongs to the field of design methods of full-fracture-surface-rock heading machine cutterhead structures. According to the design method, flexible multi-edge expanding excavation hobbing cutter assemblies and high-pressure water jet devices are combined to replace a side hobbing cutter of an original cutterhead to break rock, the side hobbing cutter is removed from the edge position of the original cutterhead, the first flexible multi-edge expanding excavation hobbing cutter assembly, the second flexible multi-edge expanding excavation hobbing cutter assembly and the third flexible multi-edge expanding excavation hobbing cutter assembly are installed, and the flexible multi-edge expanding excavation hobbing cutter assemblies are composed of flexible multi-edge expanding excavation hobbing cutters installed in a flexible multi-edge expanding excavation hobbing cutter protruding-out device, and the flexible multi-edge expanding excavation hobbing cutter assemblies are same in structure. On the cutterhead, the high-pressure water jet devices are installed on the two sides of the first flexible multi-edge expanding excavation hobbing cutter assembly, the two sides of the second flexible multi-edge expanding excavation hobbing cutter assembly and the two sides of the third flexible multi-edge expanding excavation hobbing cutter assembly respectively. The rock breaking cutterhead combined by the flexible expanding excavation hobbing cutters and the water jets is small in vibration, and therefore tunneling service life of the cutterhead is prolonged, noise is reduced, and economic losses in engineering are reduced.