CN112686303A - Intelligent wood warehousing system - Google Patents
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Abstract
The invention discloses an intelligent wood warehousing system which comprises a prediction module, a data processing module and a data processing module, wherein the prediction module acquires environmental information through a Bluetooth gateway, trains a model by utilizing a convolutional neural network, is used for accurately predicting the temperature and humidity required by wood, can automatically adjust after abnormality is found, and intelligently monitors the environmental information of a wood warehouse; the temperature and humidity module is used for acquiring temperature and humidity information in the wood warehouse; the alarm module is used for early warning the danger information of the wood warehouse; the mobile phone APP module is used for displaying the whole environment of the wood warehouse in real time and forcibly adjusting the environment threshold information in the wood warehouse; and the control module is used for controlling the basic control. The invention realizes the independent judgment of wood, the automatic adjustment of the surrounding environment and the comprehensive supervision of the safety of the warehouse; the manpower is liberated, and the accuracy and the reliability of the system are improved.
Description
Technical Field
The invention belongs to the technical field of wood storage, and particularly relates to an intelligent wood storage system.
Background
According to the survey and development trend analysis report of the current state of the Chinese wood processing market published by the Chinese industry research network in 2019 edition, the method shows that China is the biggest wood processing, wood product production base and the most important wood product processing export country in the world, and is also one of the biggest wood purchasers in the world. In the face of mass market flow, the problem of wood storage is gradually increased. At present, in China, nearly 45% of wood is left every year, and loss is caused due to improper storage. The environmental temperature and humidity are the biggest threats when the wood is stored. And only rely on the manpower to carry out timber maintenance, need occupy a large amount of manpowers, material resources and money, and can not reach fine effect. Improper storage not only increases the cost to the developer, but also causes unnecessary waste to the available resources.
In the face of the problems, the storage conditions of several types of wood on the market are investigated, and the results show that different types of wood have certain difference on the requirements on the temperature and the humidity in the environment, and the corresponding range is large and the accuracy is not high.
Many enterprises are in practice and a large number of scholars are in research at home and abroad. From the first automated stereoscopic warehouse model of the birth of the united states in the last 50 th century, smart warehousing has gradually developed worldwide. The invention mainly researches the application of the invention in the aspects of environmental monitoring, intelligent home furnishing and the like, and after 2019, national scientific research institutions such as Japan, Russia and the like begin to research the content of the aspect, thereby overcoming the corresponding technical difficulty. Many domestic scholars also have many researches on the aspect, for example, the domestic scholars research smart warehousing application based on WLAW and RFID in a long-term manner and propose a combined system of a wireless radio frequency technology and a wireless local area network technology; the intelligent storage node design based on the ZigBee wireless sensor network is researched by Liuting, so that the problem of high dependency of a traditional warehouse system is solved; the Caocheng performs RFID optimization inventory management as a warehouse management system research based on PFID technology, and realizes a warehouse management information system.
The intelligent warehouse is gradually applied to various large enterprises, the large warehouses in China, such as the hail air-conditioning enterprises in China, are the most successful cases in the intelligent warehousing direction, and the storage is optimized by the procter company, and the amazon phoenix city operation center which is the largest operation center in north america abroad is the intelligent application of the intelligent warehouse in one aspect. The development trend of warehousing is necessarily intelligent and automatic. The general trend is exactly that developed, but the specific development process is biased. Intellectualization and automation do not deeply infiltrate all aspects of warehouse development. The research on the direction of the intelligent warehouse in China generally focuses on a specific aspect, and the research on the whole system of the warehouse is less.
Disclosure of Invention
Based on the defects in the prior art, the technical problem solved by the invention is to provide an intelligent wood warehousing system, which realizes the autonomous judgment of wood, the automatic adjustment of the surrounding environment and the comprehensive supervision of warehouse safety.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the invention provides an intelligent wood warehousing system which comprises a prediction module, a data processing module and a data processing module, wherein the prediction module acquires environmental information through a Bluetooth gateway, trains a model by utilizing a convolutional neural network, is used for accurately predicting the temperature and humidity required by wood, and can automatically adjust after abnormality is found so as to intelligently monitor the environmental information of a wood warehouse; the temperature and humidity module is used for acquiring temperature and humidity information in the wood warehouse; the alarm module is used for early warning the danger information of the wood warehouse; the mobile phone APP module is used for displaying the whole environment of the wood warehouse in real time and forcibly adjusting the environment threshold information in the wood warehouse; and the control module is used for controlling the basic control.
Therefore, the scheme takes a wood warehouse as an example, mainly aims at the phenomenon of waste caused by improper wood storage, and provides an algorithm based on a lightweight convolutional neural network for establishing a wood ambient temperature and humidity model; the automatic judgment of the wood, the automatic regulation of the surrounding environment and the comprehensive supervision of the safety of the warehouse are realized; the manpower is liberated, and the accuracy and the reliability of the system are improved.
Preferably, the alarm module comprises a fire early warning module and a password access control module; the fire early warning module is used for early warning through a buzzer and sending a short message to a warehouse manager for early warning when a fire hazard is found; the password access control module is used for giving a short message alarm and giving a buzzer early warning when a user inputs a wrong password.
Optionally, the temperature and humidity module includes a temperature sensor and a humidity sensor.
Further, the fire early warning module consists of a flame sensor, a buzzer and a single chip microcomputer; when the flame sensor detects that fire hazard exists, the change of an output signal is analyzed by the single chip microcomputer, the single chip microcomputer controls the change of the voltage of the pin, and the buzzer is controlled; when fire hazard exists, the buzzer warns and reminds.
Therefore, the invention realizes a low-cost, low-power-consumption and portable environment monitoring system by using the knowledge of a convolutional network, a single chip microcomputer, a Bluetooth gateway, a sensor and an android, replaces the traditional mode of manually monitoring the storage environment, and realizes the functions of automatic management and early warning. The introduction of the intelligent wood warehouse can not only solve the business problems in the actual life by applying the most advanced deep learning method, but also make full use of the knowledge learned by people, and the advantages are embodied in the following aspects:
(1) the technical advantages are as follows: the system stability and reliability are high.
(2) Price advantage: for users, the cost of the chip and the material of the whole system is low, and the loss rate of merchants can be minimized.
(3) The functional advantages are as follows: the operation is simple and convenient, and the interactive interface is very friendly.
(4) Training and feature extraction are carried out by using a convolutional neural network method. And accurately positioning the corresponding temperature and humidity threshold.
(5) Regardless of the traditional warehouse environment monitoring, the traditional environment monitoring mode is improved, and the burst safety state early warning is introduced.
(6) The wireless transmission is realized, the full-automatic control, the automatic adjustment and the automatic early warning are carried out, and the human interference is not needed.
(7) The sensors of the same type are distributed by means of the concept of a gradient field, and the measurement accuracy is improved.
(8) The mobile phone is based on the user, bidirectional display is carried out, and convenience is brought to the user at the mobile phone end and field management personnel.
(9) Has the characteristics of low cost, easy operation, high time efficiency and portability.
The foregoing description is only an overview of the technical solutions of the present invention, and in order to make the technical means of the present invention more clearly understood, the present invention may be implemented in accordance with the content of the description, and in order to make the above and other objects, features, and advantages of the present invention more clearly understood, the following detailed description is given in conjunction with the preferred embodiments, together with the accompanying drawings.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings of the embodiments will be briefly described below.
FIG. 1 is a general schematic diagram of an intelligent lumber warehouse system of the present invention;
FIG. 2 is a functional block diagram of the intelligent timber warehousing system of the present invention;
FIG. 3 is a DTH11 connection;
FIG. 4 is a connection diagram of a flame sensor;
FIG. 5 is a connection diagram of a buzzer;
fig. 6 is a matrix keyboard connection diagram.
Detailed Description
Other aspects, features and advantages of the present invention will become apparent from the following detailed description, taken in conjunction with the accompanying drawings, which form a part of this specification, and which illustrate, by way of example, the principles of the invention. In the referenced drawings, the same or similar components in different drawings are denoted by the same reference numerals.
As shown in fig. 1 and fig. 2, the invention mainly uses a wood warehouse as an example (or can be transferred to other warehouses), uses an stc89c52 single chip microcomputer as a core, uses a bluetooth gateway as a communication module, uses a convolutional network as a model training basis, uses an EEprom as a storage module, collects and controls temperature and humidity through a temperature and humidity sensor and a fan, reminds fire hazards through a flame sensor and a buzzer, protects safety of the warehouse through an external expansion keyboard, sets and displays the fire hazards in real time through an LCD screen and a mobile phone APP, realizes synchronous monitoring of the temperature and the humidity, and controls a device to be switched on and off through the APP.
According to the invention, environmental information data collected by the lower computer are classified and stored, the information is transmitted to the PC end of the upper computer, the convolution neural network is used for predicting the optimum temperature and humidity of the current wood, the Bluetooth gateway transmits the optimum temperature and humidity back to the lower computer, real-time judgment is realized, the operation is used as a piece of data after judgment, and the data is transmitted back to the PC end through the Bluetooth gateway to continue training. Meanwhile, the APP end of the mobile phone end can display information in real time and control system information forcibly. The invention realizes the functions of real-time monitoring of warehouse environmental information and wireless control of equipment, improves the safety of the warehouse, and has the advantages of high precision, simple operation, friendly interface, convenience and rapidness.
The invention has another advantage that the invention can be used independently without an upper computer (a mobile phone APP). The invention realizes autonomous supervision, and can realize automatic detection of environmental change and automatic adjustment of temperature and humidity information of corresponding storehouses when the wood enters the storehouses so as to achieve dynamic maintenance. The aim of independent warehouse supervision can be achieved when the system is separated from the upper computer.
The invention adopts a modularized program design, and is divided into five modules, namely a prediction module, a temperature and humidity module, an alarm module, a mobile phone APP and a control module. Wherein the prediction module is accomplished by host computer PC end, and the PC end acquires environmental information through bluetooth gateway, utilizes convolutional neural network training out the model, and this model can more accurate prediction timber required humiture, can automatically regulated after discovering unusually simultaneously, intelligent monitoring warehouse environmental information. The temperature and humidity module can be divided into a temperature module and a humidity module and is used for collecting temperature and humidity information in the warehouse. The alarm module can be divided into a fire early warning module and a password access control module, when fire hazard is found, the fire early warning module can give an early warning by a buzzer and send a short message to a warehouse manager, and the password access control module can allow a user to enter the warehouse if a password is input correctly and can give an alarm by the short message and give an early warning by the buzzer if the password is input incorrectly; the mobile phone APP module is mainly responsible for displaying the overall environment of the warehouse in real time and forcibly adjusting the environment threshold information in the warehouse; the control module mainly controls basic controls, such as lamps, fans and the like. The upper computer and the lower computer communicate through the Bluetooth gateway, and information is updated circularly in real time.
The upper computer of the warehouse environment monitoring system based on the 52 single-chip microcomputer is an APP at a PC end and a mobile phone end. The PC end has the main functions of training data collected by the sensor through the convolutional neural network and predicting the optimal temperature and humidity environment required by the wood, so that the monitoring of the warehouse is more accurate and intelligent. The cell-phone end mainly utilizes the android development platform, and application java language is compiled, and the main function that realizes of software is to carrying out the analysis to the data that spread into to in real time at interface display data, and the APP of accessible cell-phone end, the scope of compulsory change warehouse temperature setting, the scope of compulsory change warehouse humidity setting, the password that changes password entrance guard and set for, the switch of the interior lamp of control warehouse. Through the use of host computer APP end, convenient realization has increased the real-time to warehouse environmental monitoring and control, has made things convenient for warehouse management personnel. Host computer and single chip microcomputer system carry out the communication through bluetooth gateway, and bluetooth gateway sends the cell-phone APP and the PC end of host computer to data transfer on the singlechip, and the host computer sends the order and gives the singlechip, and the singlechip is to the order after resolving, realizes corresponding operation.
The lower computer hardware design principle: the hardware of the system refers to the physical devices constituting the present invention, and generally refers to devices such as input devices, output devices, storage, calculators, controllers, and the like in the system. The hardware devices are independent from each other, and need to be connected with each other through the connection (or welding) of the DuPont wire and the programming of the program, so as to form a system with the integrated coordinated operation. In terms of hardware design of the system, the principle of selecting hardware equipment which is easy to operate and has higher reliability and accuracy should be followed.
The hardware design of the invention can be divided into a singlechip part, a sensor part and a Bluetooth gateway part. The singlechip is as master control module's core, the stable work of control sensor part, and the bluetooth gateway part can go out the data transmission of sensor through the singlechip, also can receive the order. The invention selects hardware equipment, a singlechip, a sensor and a Bluetooth gateway, and has the characteristics of simple operation, higher reliability and higher accuracy. According with the basic principle of system hardware design.
Designing a lower computer: the lower computer of the warehouse environment monitoring system based on the 52 single-chip microcomputer takes the STC89C52 single-chip microcomputer as a core and is realized in a program, and corresponding analysis processes are matched through comparison of newly received commands, wherein the analysis processes comprise processing of password modification, adjustment of a temperature limited range, adjustment of a humidity limited range, a fire hazard early warning module, password input and password comparison. And according to the corresponding analysis process, completing the corresponding event response. And circularly monitoring the system to update the system data in real time.
The information display module provided by the invention is mainly used for displaying the information acquired by the sensor. The LCD1602 liquid crystal display is mainly connected with an STC89C52 single chip microcomputer, and is a dot matrix type liquid crystal module specially used for displaying letters, numbers and symbols. The character matrix is composed of a plurality of lattice character bits of 5 x 7 or 5 x 10. Each dot matrix character bit can display one character, each bit has a dot pitch interval, each line has an interval, and the character interval and the line interval are played. Has the characteristics of simple operation and high cost performance.
The display mode of the liquid crystal module needs to be set in the initialization of the liquid crystal module, and the cursor automatically moves to the right when the liquid crystal module displays characters without manual intervention. Before inputting the instruction each time, whether the liquid crystal module is in a busy state is judged. The DDRAM is a RAM for displaying data, and is used for registering character codes to be displayed. For a total of 80 bytes. Each row uses only the first 16 addresses of the corresponding row at 1602.
The temperature control circuit of the invention is mainly connected with the singlechip through a temperature sensor DTH11, an EEPROM memory chip, a relay and a fan. The fan is connected with the relay, and the fan is controlled through the relay. The temperature and humidity sensor collects information and sends the information to the single chip microcomputer, the single chip microcomputer reads the limited range of temperature and humidity in the EEPROM storage chip, and after analysis and processing, the relay is controlled, so that the fan is controlled. The partial circuit is simple in connection and easy to operate, and the DTH11 is connected as shown in figure 3.
The fire early warning circuit consists of a flame sensor, a buzzer and a single chip microcomputer. When the flame sensor detects fire hazard, the change of the output signal can be analyzed by the single chip microcomputer, and then the single chip microcomputer controls the change of the pin voltage to control the buzzer. When fire hazard exists, the buzzer warns and reminds. The connection of the flame sensor is shown in fig. 4, and the connection of the buzzer is shown in fig. 5.
The password access control module is formed by connecting an external expansion keyboard, an EEPROM storage chip, a buzzer and a singlechip. The 6-bit password is input by the external keyboard, the password is compared with the password stored in the EEPROM through the singlechip after being input, and if the password is wrong, the singlechip controls the buzzer to alarm and remind. The connection between the matrix keyboard and the single chip microcomputer is shown in fig. 6.
In the current market, GSM module products are generally produced by some international large-scale companies, such as Siemens, Motorola, Samsung and the like, and domestic manufacturers have few prestige. TC35i is a GSM module, has no GPRS function, but can be upgraded; the stability of the SIM100 is very poor; motorola and Soviet can be compared with Siemens, and supply and technical support need to be improved. In summary, the design selects a type of TC35i supporting chinese short messages. The TC35i module was developed early, the technology was mature, and it is widely known that programming languages and AT commands can be easily obtained. The GSM module mainly utilizes a singlechip to send a prompt signal short message to a mobile phone of a user through the existing GSM network, and the main realization process is as follows: the single chip microcomputer enters corresponding respective interrupt programs when detecting that the P1.1 port of the single chip microcomputer is high level (namely a thief appears in a house) or the P1.0 port of the single chip microcomputer is high level (namely a fire disaster occurs in a warehouse) in an inquiry mode, corresponding prompt information is sent to a mobile phone of a user by utilizing the GSM module, short message contents are fixedly stored in the single chip microcomputer, when a dangerous situation occurs, the single chip microcomputer can directly communicate with the GSM module through a serial port of the single chip microcomputer as long as calling the corresponding contents, and the function of automatically sending short messages without monitoring is achieved. The communication between the singlechip and the GSM module is mainly realized through a second functional serial port of a P3 port pin of the singlechip.
The TC35i is a GPRS module without a protocol stack of Siemens, the two frequency bands work respectively in EGSM900 and GSM1800, and the range of a direct current power supply is 3.3V to 4.8V; the antenna connector is connected with the antenna through the interface connector and the SIM card reader. The voltage of the SIM card is 3V/18V, the TC35i must carry out bidirectional transmission by AT commands to transmit data and instructions, and the selection range of the baud rate is 300 b/s-115 kb/s. It supports two short message formats, which are: text and PDU.
TC35i is composed of 6 parts: power supply module (ASIC), flash memory, ZIF connector, antenna interface, etc. The TC35i module has 40 pins, which can be classified into 5 categories, namely, power supply, data input/output, SIM card, audio interface and control, and the specific functions of the pins are as follows:
a) power supply: pins 1-5 are positive power input pins, and the power value of the common input is 4.2 v; pins 6-10 are grounded; 11. 12 is a charging pin which is externally connected with a lithium battery; pin 13 is the external output voltage for external circuit; the 14 pins are connected with a thermistor with a negative temperature coefficient and used for the charge protection of the lithium battery.
b) Data input/output: pins 16-23 are DSR0, RING0, RXD0, TXD0, CTS0, RTS0, DTR0 and DCD0 respectively, wherein hardware handshake is RTS0 and CTS0, and serial communication pins are RXD0 and TXD 0.
c) SIM card: the pins 24-29 are SIM card pins and are externally connected.
d) Audio interface: 35-38 are voice interfaces, 35, 36 are speaker playing interfaces, 37, 38 are microphone interfaces.
e) Controlling: the 15-pin IGT is a starting pin, and a low pulse with the duration not more than 1ms and 100ms is added to the IGT after the system is powered on, so that the module enters a working state. The RTC back up is used for pin 30, the Power down is used for pin 31, and the SYNC is used for pin 32.
While the foregoing is directed to the preferred embodiment of the present invention, other and further embodiments of the invention may be devised without departing from the basic scope thereof, and the scope thereof is determined by the claims that follow.
Claims (4)
1. An intelligent lumber warehousing system, comprising:
the prediction module acquires environmental information through the Bluetooth gateway, trains a model by using a convolutional neural network, is used for accurately predicting the temperature and humidity required by the wood, and can automatically adjust and intelligently monitor the environmental information of the wood warehouse after abnormality is found;
the temperature and humidity module is used for acquiring temperature and humidity information in the wood warehouse;
the alarm module is used for early warning the danger information of the wood warehouse;
the mobile phone APP module is used for displaying the whole environment of the wood warehouse in real time and forcibly adjusting the environment threshold information in the wood warehouse;
and the control module is used for controlling the basic control.
2. The intelligent wood warehousing system of claim 1, wherein the alarm module comprises a fire early warning module and a password door control module; the fire early warning module is used for early warning through a buzzer and sending a short message to a warehouse manager for early warning when a fire hazard is found;
the password access control module is used for giving a short message alarm and giving a buzzer early warning when a user inputs a wrong password.
3. The smart lumber warehousing system of claim 1, wherein the temperature and humidity module comprises a temperature sensor and a humidity sensor.
4. The intelligent wood warehousing system of claim 2, wherein the fire early warning module is composed of a flame sensor, a buzzer and a single chip microcomputer; when the flame sensor detects that fire hazard exists, the change of an output signal is analyzed by the single chip microcomputer, the single chip microcomputer controls the change of the voltage of the pin, and the buzzer is controlled; when fire hazard exists, the buzzer warns and reminds.
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| CN117196412B (en) * | 2023-11-01 | 2024-01-23 | 江苏银家不锈钢管业有限公司 | Quality inspection and acceptance method and system for steel pipe finished product |
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