34results about How to "No manual maintenance required" patented technology

The invention discloses a method and device for self-adapting the light source parameters of a distributed optical fiber sensing system. , adjust the optical pulse repetition frequency; Step S2, calculate the standard deviation of the point scattering signal S(L-m)~S(L-n) at the end of the sensing fiber in t measurement periods, and filter to obtain the maximum value of the standard deviation σ max ; Step S3, set σ max and set the default value σ 0 Compare; step S4, if σ max >σ 0 , then increase the output power of the light source, and repeat steps S2-S3 until σ max ≤σ 0 . The invention can monitor the standard deviation of the signal at the tail end of the sensing fiber in real time. The repetition frequency of the pulsed laser is modified in real time by the microcontroller to optimize the system response time. The measured standard deviation is compared with the preset standard deviation. When the measured standard deviation is found to be less than the preset value, the output power of the light source is increased through the microcontroller to improve the signal-to-noise ratio and eliminate the performance degradation caused by the increase in fiber loss.

The invention relates to an automatic on-line correcting system for a conveying belt of a vacuum belt dryer, which comprises correcting info collectors, correcting cylinders and a computer control system. The correcting info collectors are located at both sides of the conveying belt; the correcting cylinders are located at both ends of an adjustable drive shaft of a drive of the conveying belt; the cylinder arms are connected with a slider on which the adjustable drive shaft is installed; the computer control system comprises an electric cabinet and a computer. The correcting info collectors send the deviation signals of the conveying belt to the computer control system, after computer processing, the electric cabinet controls the correcting cylinders to drive the cylinder arms to move, and the adjustable drive shaft moves by the action of the cylinder arms, so that the conveying belt will return to the original position, now the correction completes.

The invention discloses a method and a device for realizing attribute normalization, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of obtaining first data by taking a word of to-be-normalized data as a KEY and taking the to-be-normalized data as VALUE; aggregating the first data with the same KEY into a first data group, aggregating the VALUE of each piece of first data in the first data group into second data, and selecting one word from all words of the first data group as a normalized word of the second data; taking each original word in the second data as a KEY, and taking the second data as VALUE to obtain third data; aggregating the third data with the same KEY into a second data group, aggregating the VALUE of each piece ofthird data in the second data group into fourth data, selecting one of all the normalization words of the second data group as a normalization word of the fourth data, and adding the normalization word into an expansion word set to form result data; and determining the normalized attribute value according to the result data. According to the embodiment, attribute normalization can be achieved without manual maintenance, the accuracy is high, the real-time performance is good, and manpower is saved.

The invention provides a rainfall data processing system based on a piezoelectricity acceleration sensor. The rainfall data processing system based on the piezoelectricity acceleration sensor comprises a raindrop impact steel cover, the piezoelectricity acceleration sensor, a charge signal amplifier, an A / D converter and an MCU. The piezoelectricity acceleration sensor is installed on the bottom face of the steel cover. Raindrops impact the surface of the steel cover, a piezoelectric plate of the piezoelectricity acceleration sensor on the bottom face of the steel cover generates a charge signal in proportion to the raindrop accelerated speed, the charge signal is converted to be a voltage signal through the charge signal amplifier and then is filtered and amplified, A / D conversion is carried out on the signal, the digital signal obtained after A / D conversion is sent to the MCU to be operated, data of accumulative rainfall within a period, rainfall duration, rainfall intensity and the like are obtained, and the data are transmitted to a computer via an RS232 serial port finally. The rainfall data processing system based on the piezoelectricity acceleration sensor has the advantages of being simple in structure, long in service life, free of manual maintenance, high in precision and accuracy and the like.

The invention discloses a treatment system for aviation engine oil waste water. The system comprises a grid, a grit chamber, a full-effect treatment pool, an MBR process, a water storage tank, a liquid nitrogen storage tank, and a sodium hydroxide storage tank. This system is an original design, no oxidizing bacteria and sludge system are installed in the water quality treatment, which avoids the secondary pollution problem in the treatment process. The oil gas produced in the oil separation process is also heated and burned by the system and then decomposed into carbon dioxide and water. The heat energy carried by the combustion products is recycled in the heating process, and at the same time discharged after cooling, improving energy utilization efficiency and reducing calorific value emissions. The separated oil is also recycled as fuel in the system, and the system can also obtain by-product soap.

The invention discloses a method to lead deep sea water to an aquiculture area and a conveying device, and relates to the field of sea water development and utilization. A wave stopping dam (7) is built outside a sea water aquiculture area (2) so that the sea water aquiculture area is separated from a sea, a sea water main pipe (10) penetrates through the wave stopping dam to communicate underwater the sea water aquiculture area with the deep sea water (13) in the depth of the sea, a siphon (5) is installed on the wave stopping dam to communicate the sea water in the wave stopping dam with the sea water outside the wave stopping dam, at lease on atmosphere communication pipe (3) directly communicated with the atmosphere is arranged on the sea water main pipe inside or outside the wave stopping dam, the upper end port of the atmosphere communication pipe must be higher than a highest tide level (11), and the sea water in the sea water aquiculture area constantly flows in and is sucked out from the sea water aquiculture area to achieve automatic circulation and update. By means of the method, a large amount of high-quality deep seat water is led to the sea water aquiculture area without energy consumption, the fact that the sea water led into the aquiculture area every day is clear and fresh is guaranteed, and energy-saving, environment-friendly and pollution-free purposes are achieved.

The invention discloses a method and a device for realizing attribute normalization, and relates to the technical field of computers. A specific embodiment of the method includes: taking the word of the data to be normalized as KEY and the data to be normalized as VALUE to obtain the first data; aggregating the first data with the same KEY into a first data group, in the first data group The VALUE of each piece of first data is aggregated into the second data, and one of the words in the first data group is selected as the normalized word of the second data; each original word in the second data is KEY, and the second data is VALUE Obtain the third data; aggregate the third data with the same KEY into the second data group, aggregate the VALUE of each third data in the second data group into the fourth data, from all the normalized words in the second data group Select a normalized word as the fourth data and add it to the extended word set to form the result data; determine the normalized attribute value according to the result data. This implementation mode can realize attribute normalization without manual maintenance, has high accuracy, good real-time performance, and saves manpower.