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The invention discloses an automobile-used intelligent triangle warning sign based on the interaction of a mobile terminal. The triangle warning sign comprises mobile platforms, a triangle warning sign, a wireless antenna, a main controller and a terminal mobile server, wherein the triangle warning sign, the wireless antenna and the main controller are mounted on the mobile platforms; the triangle warning sign, the wireless antenna and the mobile platforms are connected with the main controller; the terminal mobile server is used for sending an operating instruction of a user; and the main controller receives the operating instruction of the user through the wireless antenna, and controls the movement of the mobile platforms and the condition of the triangle warning sign according to the operating instruction. The automobile-used intelligent triangle warning sign is in long-range control by the mobile terminal, and the purposes of automatically placing the triangle warning sign by pressing one key and placing the triangle warning sign through manual remote control are realized.

The invention belongs to the technical field of computer model construction, and discloses an artificial intelligence neural network learning model construction system and method, and the method comprises the steps: obtaining effective related data of a lung cancer patient; performing feature extraction on the obtained data to obtain a feature sample set; preprocessing the obtained feature sampleset to obtain normalized sample data; dividing the obtained normalized sample data into a training data set and a verification data set; constructing an artificial intelligence algorithm model, and training the constructed artificial intelligence algorithm model by using the obtained training data set; verifying the constructed artificial intelligence algorithm model by utilizing the verificationdata set, and optimizing the artificial intelligence algorithm model based on a verification result; and obtaining an optimized artificial intelligence algorithm model. The artificial intelligence algorithm model is constructed, the lung cancer diagnosis efficiency can be effectively improved, the accuracy of disease evaluation in lung cancer treatment is improved, a corresponding treatment schemeis optimized, and the survival rate of lung cancer patients is increased.

The invention provides a beam column connection piece, and belongs to the technical field of connection members between beams and columns in buildings. The beam column connection piece includes a connection body; a square-shaped column connection portion extends out from the upper end and the lower end of the connection body; the center of the column connection portion coincides with the center of an end surface of the connection body; ends of a column recess inward to form column connection portion installation grooves matching the column connection portion; the upper end and the lower end of the column connection portion are connected to the column through the column connection portion installation grooves; and the shape of a cross section of the square-shaped connection body is identical to the shape of the cross section of the column. The beam column connection piece is simple in structure; the column connection portion and beam connection portions are arranged on the connection body, and then a suitable type of column connection piece can be selected to construct; and the use of the beam column connection piece is standardized, and the common standard of beams and columns can be fixed in our life, and mass production of the beams and the columns can be achieved.

A system and method detects an amount of data attributed to a device including reports sent to the device, and reduces the amount of data being used to provide reports to the device if the amount of data attributed to the device exceeds an amount assigned to the device. Data uploaded from the device is also minimized.

The invention discloses an auxiliary medication decision-making method and an intelligent auxiliary medication system. The auxiliary medication decision-making method includes the following steps: Step 1: collecting and acquiring medical data of patients, pre-processing the medical data of patients, and obtaining structure-unified standard clinical data of patients; and Step 2, according to the standard clinical data of patients, obtained in the step 1, predicting applicable drugs for patients through a classification regression tree algorithm, combined with the drug information in a drug database, automatically generating a medication proposal to complete the auxiliary medication decision, wherein the medication proposal is provided for review and use by a physician. The auxiliary medication decision-making method and the intelligent auxiliary medication system can intelligently provide scientific, professional and accurate medication basis, and can assist clinicians and clinical pharmacists to formulate optimal use decisions of drugs, thereby further standardizing drug use.

The invention provides an agricultural equipment operating controlling method and system. The method includes the following steps that 1, position information, operating state information and operation process information of agricultural equipment are collected and transmitted to a cloud end management station; 2, the collected information is compared with stored preset values and attribute values of the agricultural equipment, and if any instruction information is inconsistent, a corresponding limiting action or a limit removing action is executed. The system comprises a feedback device, a communication device, a management device, the cloud end management station and a control terminal, wherein the communication device and the feedback device are connected with the management device, the management device is connected with the agricultural equipment, and the communication device is connected with the cloud end management station and the control terminal through a wireless communication network. The agricultural equipment operating controlling system has the advantages of being reasonable and reliable in design, capable of achieving remote monitoring and management and information reminding and the like, is beneficial for normalizing reasonable use of the agricultural equipment and particularly suitable for meeting the requirements for spraying pesticides, applying fertilizer and seeding of building an accurate agricultural system.

A system and method detects an amount of data attributed to a device including reports sent to the device, and reduces the amount of data being used to provide reports to the device if the amount of data attributed to the device exceeds an amount assigned to the device. Data uploaded from the device is also minimized.

A system and method detects an amount of data attributed to a device including reports sent to the device, and reduces the amount of data being used to provide reports to the device if the amount of data attributed to the device exceeds an amount assigned to the device. Data uploaded from the device is also minimized.

The present invention provides a method for identifying raw materials of finished tea products, which comprises: crushing and sieving tea samples, and collecting the data on an IFS 28 / N near infrared spectrograph at a room temperature controlled within 20-25 DEG C; establishing the dependent variable 'Y' and independent variable 'X' of genuine and fake samples of the tea; choosing the samples randomly as a training set; utilizing a cross validation method and the original light spectrum to establish an evaluation model for the tea with PLS method, and then making a judgment with '0' as the median value. The present invention establishes a method for identifying tea products that are made of special species of raw materials, overcomes the challenge of discriminating tea products made of special species or new species of raw materials, and is favorable for enhancing protection of new species and rare species of tea, helpful for enhancing protection of registrants and producers of special and rare species and new species of tea, regulating the use of special identification of new species of tea in the market, and promoting the development of new species of tea.

The invention discloses a method of monitoring the moving storage equipment which manages the reading and writing of the moving storage equipment according to permission and generates corresponding information. The invention also discloses a monitoring device of moving storage equipment, comprising a master module, a controlled module; wherein, the master module sends control command to the controlled module, and the controlled module sends back monitoring information to the master control information. The invention realizes the monitoring to the moving equipment, and has large flexibility owing to adopting a method of rights management.