63results about How to "Master the running status in real time" patented technology

The level meter of this sewage pumping station monitoring system accesses PLC through the simulated volume input module, and PLC links with electric valves of different water pumps and electric switches of grating machines through the output module. The pump outlet is installed with the flow meter linking PLC. PLC reads the level data on real time, and starts or closes one or multiple pumps when reaching the set level, which initiates the pumps on sequence and the sequence regular rotation, and starts up the delay dislocation sequence when starting multiple pumps. According to the set time, PLC starts and stops grating machine regularly. PLC connects the server computer, and transmits the operating data of equipment, which can be started and stop manually without the impact of level. The server computer remotely connects the monitoring system computer, transmitting the operation data and alarming when abnormity happens.

The invention discloses a method for fault diagnosis on the basis of storage battery state of charge (SOC) and state of health (SOH), which comprises the steps of: sequentially calculating all the monomer SOC and SOH which form all the battery modules, the equivalent SOC and SOH of all the modules which form a battery pack, and the equivalent SOC and SOH of the whole battery pack, and judging whether a storage battery discharges or not. The method for fault diagnosis online identifies and calculates the equivalent SOC and SOH of the whole battery pack, and accordingly, the real-time fault diagnosis is realized.

Disclosed is a centrifugal pump flow prediction method based on measurement of power and differential pressure. The centrifugal pump flow prediction method is characterized by including steps that 1, a whole centrifugal pump is respectively divided into a motor module, a mechanical model and a hydraulic power module on the basis of a 'gray box' construction theory; 2, a whole flow prediction mathematical model of the centrifugal pump is built on the basis of system analysis; 3, local establishment of a motor output power prediction mathematical model is performed on the basis of a motor inner loss model; 4, local establishment of a mechanical transmission part output power (or centrifugal pump input power) prediction mathematical model is performed on the basis of a mechanical loss model; 5, local establishment of a model among centrifugal pump input power, flow and rotating speed and a model among centrifugal pump differential pressure, flow and rotating speed is performed on the basis of a fluid flow loss model; 6, a centrifugal pump flow prediction model based on power (rotating speed and torque) and differential pressure is established by combination with a motor mathematical model, a mechanical mathematical model and a hydraulic power mathematical model; 7, the centrifugal pump flow prediction model is corrected by means of a compensation algorithm, and the flow prediction accuracy is improved.

The invention relates to a safe operation monitoring system for an intelligent elevator. The safe operation monitoring system solves the technical problems that an existing elevator monitoring system is poor in alarm effect and the like. The safe operation monitoring system comprises an elevator operation and maintenance platform. The elevator operation and maintenance platform is connected with an elevator operation data acquisition terminal, a multi-media issuing terminal and an active alarm terminal through a first wireless communication module, wherein the elevator operation data acquisition terminal, the multi-media issuing terminal and the active alarm terminal are connected with an elevator car. The active alarm terminal comprises a person trapped alarm module and / or a fault alarm module and a communication module. The multi-media issuing terminal comprises a multi-media player with a display screen, a video image acquisition module and a voice talkback unit with an active voice pacifying module. The video image acquisition module and the voice talkback unit are connected with a standby power source module. The safe operation monitoring system has the beneficial effects that the power-off emergency lighting effect and the active alarm effect are good, the multi-party talkback function is achieved, and the multi-media terminal issuing function and the active voice pacifying function can be achieved.

The invention discloses an online monitoring device and method for a drop-out fuse based on IOT (Internet of Things) communication, and the method mainly comprises the following steps: judging that the drop-out fuse drops out when the horizontal angle of a fuse tube of the drop-out fuse is less than a threshold value; and determining that the drop-out fuse is closed when the horizontal angle of the fuse tube of the drop-out fuse is greater than the threshold value. The method can achieve the monitoring of the operation state of the fuse in real time, and the state information of the monitored fuse is transmitted to a background monitoring system. When the fuse is cut off during a short-circuit fault, the method can help a maintainer timely obtain the operation state of the fuse, so as to quickly find out the fault point and quickly restore the normal power supply.

The invention relates to a coating spraying device for the interior of a thin and long pipeline. The coating spraying device comprises a walking mechanism, a spraying mechanism and a camera device. The walking mechanism comprises a first motor, a first speed reducer, a chain transmission mechanism, a runner and two supporting plates provided with spring control supporting wheels. Multiple connecting rods are arranged between the two supporting plates, and the spring control supporting wheels are installed on the supporting plates through spring control supporting wheel rods. A chain in the chain transmission mechanism is wound around the runner, and the chain is connected with the supporting plates through a buckle structure. The spraying mechanism comprises a coating transmission shaft, arotating nozzle, a material conveying pipe and a material disc. The coating transmission shaft is in transmission connection with an output shaft of a second speed reducer. The coating transmission shaft is of a hollow structure, and a small hole is formed in the shaft wall of the coating transmission shaft. The material disc is installed at the head portion of the coating transmission shaft, andthe rotating nozzle is installed on the material disc. The camera device comprises a camera and an illumination lamp. Compared with the prior art, the coating spraying device can be suitable for thinand long pipelines with the pipeline inner diameter being 100 mm to 600 mm, and the spraying conditions in the pipelines can be observed conveniently.

The invention discloses a method for monitoring a low-voltage distribution transformer for ship. The method comprises: electrical parameters of a primary side and a secondary side of a transformer are collected and on-line detection is carried out on a transformer winding temperature; according to the data, more operating parameters are calculated; the operating parameters are compared with a preset value; and when the operating parameters are lower than or higher than the preset value, the transformer is determined to be abnormal and then warning is carried out. In addition, the invention also provides an apparatus for monitoring a low-voltage distribution transformer for ship. Using the method and apparatus, electrical parameter detection of the primary side and the secondary side of the transformer and on-line detection of the transformer winding temperature can be realized.

The invention provides a driving control system and method. The system comprises a smartphone which is placed on an automobile and has the same motion state as the automobile and a diagnostic service platform in communication connection with the smartphone, wherein the smartphone is internally provided with an accelerated speed sensor used for measuring accelerated speed; the diagnostic service platform is used for receiving and processing direction data and accelerated speed data transmitted by the smartpone, comparing processing results with preset conditions and transmitting corresponding prompt information to the smartphone. Compared with the prior art, an electronic compass and the accelerated speed sensor installed on the smartphone are used for measuring the accelerated speed, the speed and the direction of the automobile in real time, measuring results are transmitted to the diagnostic service platform to be processed, the diagnostic service platform can master the operation state of the automobile in real time, and control and remind a driver of various unreasonable driving behaviors in the automobile traveling process, and the driver is helped to develop good driving habits.

The invention relates to a wind driven generator variable-pitch transmission gear fault diagnosis method based on current signals. The method comprises the following steps: acquiring variable-pitch gear transmission system driving shaft motor stator current signals; preprocessing the motor stator current signals to enable the motor stator current signals to meet the requirements of a monitoring system; acquiring a low-frequency part where the fundamental frequency of the motor stator current signals is located; acquiring the continuous instantaneous frequency of the low-frequency part where the fundamental frequency of the current signals is located; acquiring the instantaneous angle of a driven gear according to the continuous instantaneous frequency conversion, and carrying out equal-angle cyclic rooting to obtain equal-angle sampling solutions; summing the equal-angle sampling solutions to obtain a current signal in an angular domain, and eliminating the influence generated by speedfluctuation; performing data processing on the current signal in the angular domain by using a data analysis method to obtain a spectrogram; and judging that a fault of the transmission gear exists when a fault side frequency peak value is detected between two frequency multiplication component peak values of the spectrogram.

The invention relates to the technical field of data collection, and especially relates to a shield tunneling machine data collection system based on a mobile terminal. The system comprises a data collection module, a ZigBee module, an Ethernet interface module, an MX Component module, a micro controller, an SQL database and the mobile terminal; the data collection module is arranged in a shield body of a shield tunneling machine for collecting real-time data of the system of the shield body and being connected to the ZigBee module through an FTF serial port; the ZigBee module transmits the real-time data to the Ethernet interface module via wireless transmission through the IEE 802.15.4 protocol; the Ethernet interface module is connected to the MX Component module through multiple threads, and the MX Component module performs data transmission with the micro controller through a TCP protocol; and the micro controller is separately in communication connection with the SQL database and the mobile terminal. The shield tunneling machine data collection system collects operation state data of the shield tunneling machine, wirelessly transmits the operation state data, stores the operation state data in the SQL database and adjusts the operation state by accessing the stored data.

The invention relates to a method and device for constructing an insulation fault identification model of a voltage transformer, and the method comprises the steps: collecting the secondary voltage data of a voltage transformer in an insulation fault simulation experiment, and constructing an insulation fault experiment data set; performing feature extraction on the insulation fault experiment data set by using a consistent relationship of primary voltages of a plurality of voltage transformers in the same phase, eliminating the influence of primary voltage fluctuation, and obtaining a laboratory fault feature data set by using a principal component analysis method; training the laboratory fault feature data set by using a supervised learning algorithm to obtain a fault identification model; and finally, migrating the fault identification model to an actual substation working condition by using a transfer learning algorithm to obtain an improved fault identification model. Through the fault identification model constructed by the invention, the insulation state of the voltage transformer can be monitored on line in real time without power-off maintenance, the operation state of the voltage transformer can be mastered in real time, and the risk that the fault voltage transformer serves an electric power system is reduced.

The invention relates to an information early warning device, and specifically relates to a substation information early warning device. The device comprises a secondary controller installed in a substation, a signal conditioning circuit and a wireless communication module connected with the secondary controller, a data acquisition unit connected with the signal conditioning circuit and used for acquiring parameters in the substation, a verification unit connected with the secondary controller and used for verifying information of a substation manager, an execution unit connected with the secondary controller and used for executing instructions sent by the secondary controller, and a monitoring center connected with the wireless communication module and used for monitoring the working condition of the substation. According to the technical solution, the operating status of each device in the substation and the factors influencing safety operation of the substation are comprehensively monitored, and good information interaction with the monitoring center is established, so that the substation manager can master the operating status of the substation in real time, and accidents or faults can be timely processed to reduce the loss to minimum.

The invention discloses a power distribution network on-line temperature measurement system and method. The system comprises a temperature measuring unit, a data collecting terminal and a system main station; the temperature measuring unit is used for acquiring the temperature data of a monitored line and transmitting the temperature data to the data collection terminal through a micro power wireless communication mode; the data collecting terminal is used for receiving the temperature data sent by the temperature measuring unit through a micro power wireless communication mode and transmitting the temperature data to the system master station through a wireless network; and the system master station is used for receiving the temperature data send by the data collection terminal and performing temperature monitoring on the monitored line according to the temperature data. According to the power distribution network on-line temperature measurement system and method of the invention, the temperature measuring unit is utilized to perform real-time monitoring on the key nodes and equipment of a power distribution network in real time, so that the running status of the power distribution network can be mastered in real time; when an abnormal event occurs, information can be initiatively reported in order to inform operation and maintenance personnel in time, so that effective prevention and timely processing of a fault can be realized, and therefore, the efficiency of operation, maintenance and emergency repair can be effectively improved, and power outage time can be reduced.

The invention relates to a method for efficiently overcoming an automation defect of an urban network distribution network. The method specifically comprises the following steps that 1, a main stationinitiates a defect; 2, a sub station registers the defect, and generates different types of defects; 3, a defect hanlding maintenance staff receives an order, and distribution automation defect information is sent to the corresponding operation and maintenance personnel in any one selected from a login system query mode, an information release mode, a mobile APP mode and a short message mode so as to facilitate the operation and maintenance personnel to receive and process the information in time; and 4, after defect handling, application for verification is carried out on a system, a specialone of the sub station completes an online defect handling process according to the handling condition of the maintenance staff. Thus, via the method, the equipment operation state can be known in real time and thus, the equipment is in an economic operation state, the service life of the equipment is greatly prolonged, and equipment investment is effectively delayed.

The invention provides a machinery monitoring device based on a 4G network cloud server, which comprises engineering machinery and a cloud server. A 4G communication module is arranged on the engineering machinery and the cloud server; the engineering machinery and the cloud server are in communication connection through the 4G communication module; a GPS module is arranged on the engineering machinery, so that longitude, latitude and speed information of a vehicle to be monitored can be obtained in real time through the GPS module on the map; high precision positioning information of the engineering vehicle at any location and in any time can be obtained; the corresponding association between online and offline states of data transmission network is completed; and an ultrasonic sensor isarranged on an oil tank of the engineering machinery. According to the machinery monitoring device based on the 4G network cloud server, remote real-time monitoring is completed utilizing a computer,and the machinery in the field is monitored through a remote control center, so that the running state of the machinery can be monitored in real time; finally, the most effective monitoring and efficient usage of the engineering machinery is achieved; and the device is extremely accurate in measurement result and low in manufacturing cost, and can be well applied to practice.

The invention discloses an online sewage water level detector which comprises a wireless communication transceiver, a microprocessor, an ultrasonic data sending circuit, an ultrasonic signal processing circuit, an ultrasonic transducer, a temperature sensor and a pressure sensor. The output end of the microprocessor is connected with the input end of the wireless communication transceiver, and the output end of the ultrasonic data sending circuit is connected with the input end of the microprocessor. The online sewage water level detector can effectively integrate information collected by underground sewage pipe networks of all areas, the operation state of a whole sewage system is globally mastered in real time, effectiveness of the system is improved, deposition pipe sections are effectively recognized, and data support is provided for making a maintenance scheme for the underground sewage pipe networks.

The invention provides an intelligent traffic equipment operation and maintenance platform which includes an equipment information collecting and processing module, an electronic archive establishmentmodule, an operation and maintenance management process establishment module and a mobile phone APP client. The equipment information collecting and processing module is connected with the electronicarchive establishment module, the operation and maintenance management process establishment module and the mobile phone APP client. The equipment information collecting and processing module collects the state information of intersection equipment and machine room equipment through a network, and provides alarm, analysis and automatic processing. The electronic archive establishment module establishes an archive for the intersection equipment and the machine room equipment. The operation and maintenance management process establishment module establishes intersection equipment process management and machine room equipment process management. The mobile phone APP client is used for receiving fault and optimization request orders from the intersection equipment, inspecting intersections and receiving fault and task orders from the machine room equipment. Unified monitoring and operation and maintenance support for the intersection equipment, the machine room equipment and operation andmaintenance vehicles and the assessment management of the operation and maintenance personnel are realized.

The invention provides an insurance industry intelligent customer service robot system. The system comprises an application layer for providing scene applications, a third-party platform support intermediate layer, a core analysis layer and an insurance data knowledge layer, wherein the third-party platform supports an intermediate layer configured to perform speech recognition and synthesis and provides a visualization platform and image recognition, and the core analysis layer comprises an online retrieval platform and an intelligent learning platform; the online retrieval platform is configured to execute demand analysis, intelligent verbal skill management and retrieval analysis of insurance customers. The intelligent learning platform carries out self-knowledge, session and verbal skill improvement according to the established model. The insurance data knowledge layer is used for acquiring insurance data, verifying data of historical mining results and continuously optimizing semantic and sorting models, so the accurate response rate is increased, and the insurance data knowledge layer is used for managing sessions, verbal skills and knowledge of the insurance industry and executing acquisition of the insurance data and cleaning of the insurance data.

The invention relates to a voltage transformer insulation fault identification method and system based on integrated learning, and the method comprises the steps: obtaining the operation data of a voltage transformer, and constructing a first data set according to the operation data; performing cleaning and feature extraction on the first data set to obtain a second data set; screening out a plurality of transfer learning methods according to the cosine distance of the sample, and migrating the second data set by using the transfer learning methods to obtain a training set; a plurality of supervised learning methods are used for training by utilizing the training set to obtain a plurality of supervised learning models, transfer learning evaluation indexes are constructed, the weight of each supervised learning model is determined in combination with the correct rate, the weights are fused, and an integrated learning model is obtained; and identifying the fault of the to-be-tested voltage transformer by using the integrated learning model. According to the invention, a plurality of supervised learning models are fused through combination of transfer learning and ensemble learning, so that insulation faults of one or more voltage transformers of a transformer substation can be identified with high accuracy by using a small amount of data.

A remote plasma system having a self management function of the present invention measures an operating state of a remote plasma generator while a remote plasma generator operates, which generates plasma and remotely supplies the generated plasma to a process chamber, thereby allowing a process manager to check the measured operating state and performing a required process control depending on an operating state. According to the remote plasma system having the self management function of the present invention, it is possible to check operating state information of the remote plasma generator in real time so as to judge whether the remote plasma generator normally operates and immediately sense occurrence of an error during the operation. Further, it is possible to check in real time the operating state information of the remote plasma generator and plasma treatment process progress state information in the process chamber while the plasma generated from the remote plasma generator is supplied to the process chamber. Therefore, a process manager can determine an operating state of the remote plasma system in real time and immediately cope with an abnormal operation when the abnormal operation occurs. Further, the process manager can determine the system in real time at the time when maintenance of the system is required, thereby increasing maintenance efficiency.

The invention discloses an online state evaluation and operation and operation and maintenance platform for an intelligent train electrical device. The online state evaluation and operation and maintenance platform comprises a train electrical system decomposition numbering module, a train maintenance information acquisition module, a train real-time information acquisition module and a train online evaluation and prediction module, wherein the train electrical system decomposition numbering module acquires a decomposition numbering result of the train electrical system; the train maintenanceinformation acquisition module acquires a maintenance result of the train electrical system; the train real-time information acquisition module acquires the working data of the train in real time andis in one-to-one correspondence with the uploaded information; and the train on-line evaluation and prediction module performs on-line evaluation and prediction on the electrical system of the train.The invention further discloses a method of an online state evaluation and operation and maintenance platform for an intelligent train electrical device. According to the invention, the online state of the train electrical system component can be evaluated, and the operation state of each component of the train electrical system can be mastered in real time, and the train electrical system can bemonitored in real time and the online state can be predicted, and the reliability is high, and the real-time performance is good.

The invention discloses an Internet of Things (IOT) commodity lease operation system and method. The method comprises the steps of receiving a user's intelligent commodity terminal use request and registration information; after the user obtains an intelligent commodity terminal, binding user information of the user to device information of the intelligent commodity terminal; after the binding issuccessfully established, activating and putting the intelligent commodity terminal into lease. According to the invention, traditional commodities are upgraded through the IOT technology and are converted into the intelligent commodity terminals; the digital management of the intelligent commodity terminals is realized, and merchants can grasp the running status of the IOT commodities and servicedemands of consumers in real time; at the same time, the users can get in touch with the merchants in real time for installation and after-sales service; and thus the communication and service efficiency between consumers and the merchants is increased.

The invention provides a group control method for deviation rectification of a conveyor belt. The method comprises the specific steps: firstly, arranging multiple sets of deviation detection assemblies according to the length and the deviation position of the conveyor belt, and arranging corresponding deviation rectification assemblies at the upstream distance H of the conveyor belt; when the deviation detecting assembly detects that the deviation displacement S of the position exceeds the set deviation displacement S1, sending, by the control assembly, an instruction to control an actuator ofthe corresponding deviation correcting assembly to act to the preset position, and when an angle sensor in the deviation correcting assembly detects the rotating angle of a carrier roller set in thecurrent deviation correcting assembly, correcting, by the deviation correcting assembly, the deviation of the carrier roller set. and feeding back, by the deviation rectifying assembly, the information to the control assembly and comparing, by the deviation rectifying assembly, the information with a set value, and controlling the actuator to conduct corresponding actions, so as to complete coupling closed-loop control over the deviation rectifying assembly. The invention further provides a detection and correction system applied to the group control method for deviation rectification of the conveyor belt, the conveyor belt can be rapidly and automatically corrected when deviating at any position of one or more positions through group control, and the deviation correction effect on the conveyor belt during transportation under complex working conditions is improved.

The invention relates to a wind driven generator variable-pitch transmission belt fault diagnosis method based on current signals. The method comprises the following steps: acquiring variable-pitch belt transmission system driving shaft motor stator current signals; preprocessing the motor stator current signals to enable the motor stator current signals to meet the requirements of a monitoring system; acquiring a spectrogram of the preprocessed motor stator current signals by using a data analysis method; and determining that the belt of the variable-pitch belt transmission system has a faultif a fault side frequency peak occurs in the fundamental frequency setting range in the frequency spectrum,. By using the method provided by the invention, the slipping fault caused by belt aging canbe identified under the condition of not increasing a sensor.

The invention relates to a control system based on OLED transparent vehicle window display, which comprises a ground service device, two first vehicle-mounted terminal devices and a plurality of second vehicle-mounted terminal devices, and the ground service device comprises a ground switch, a ground server and an encoder, the ground server is connected with the ground switch, the encoder is connected with the ground switch, each first vehicle-mounted terminal device comprises a wireless host, a first wireless antenna, a first switch and a first OLED transparent display vehicle window assembly, the first wireless antenna is connected with the wireless host, the wireless host is connected with the first switch, the first OLED transparent display vehicle window assembly is connected with thefirst switch, the ground switch is wirelessly connected with the first wireless antenna, and each second vehicle-mounted terminal device comprises a second OLED transparent display vehicle window assembly and a second switch. According to the invention, the playing content of the first OLED transparent display vehicle window assembly and the playing content of the second OLED transparent displayvehicle window assembly can be flexibly switched.

The invention discloses a surface normal load and temperature double-parameter detecting system. The system comprises a sensing unit, a detecting circuit unit and a processing circuit unit; the sensing unit comprises flexible MRE sensing layer with voltage sensibility and temperature sensibility, an upper electrode layer arranged on the upper surface of the flexible MRE sensing layer, and a lower electrode layer arranged on the lower surface of the flexible MRE sensing layer; the detecting circuit unit comprises a ranks strobe circuit, a resistance detecting circuit for detecting resistance and a capacitance detecting circuit for detecting capacitance, and the resistance detecting circuit and the capacitance detecting circuit are connected to the ranks strobe circuit respectively; the processing circuit unit comprises a MCU, a signal input terminal of the MCU is connected with signal output terminals of the resistance detecting circuit and the capacitance detecting circuit, and a signal output terminal of the MCU is connected with signal input terminal of the ranks strobe circuit. The system can simultaneously achieve a rapid, accurate, and reliable description of the surface normal load and temperature distribution, can be used for detecting the surface normal load and temperature variation of a device in real time, and is beneficial to mastering running conditions of the device in real time.

The invention relates to a detection device and method for the position of a conveying belt. The device comprises a transmitter, a receiver, a control assembly and a location assembly, wherein the transmitter and the receiver are arranged at a part with a preset distance away from the first side of the conveying belt separately; the control assembly is connected with the receiver; the location assembly is fixed to the first side of the conveying belt; the transmitter is used for transmitting a location light ray with a preset wavelength to the location assembly; the receiver is used for receiving a reflected light ray, and sending the intensity of the reflected light ray to the control assembly; the reflected light ray is a light ray obtained by reflecting the location light ray via the location assembly; the location assembly is composed of n reflecting materials in a mutually-spacing manner, and n is a positive integer of greater than 1; and the control assembly is used for determining the position of the conveying belt according to the intensity of the reflected light ray. The detection device and method for the position of the conveying belt are capable of detecting the position of the conveying belt in real time, so that real-time grasping for the running state of the conveying belt in production is facilitated; and high identification accuracy and response speed are achieved.

The invention discloses a drop-out fuse state monitoring method, device, equipment and medium, and the main implementation process of the monitoring method is as follows: a state collection unit is additionally arranged on a drop-out fuse to monitor the dip angle and temperature of a fuse tube of the fuse, and then data information is transmitted to a collection unit through short-distance wireless communication, the collection unit analyzes the data through an edge calculation module, when the analysis result is that a fuse is fused or a fuse drops, alarm information is generated, and a wireless communication module of the collection unit sends the alarm information to a power distribution master station and a mobile terminal through a 4G network, so that operation and maintenance personnel can master the fault condition in time, and a fault point can be quickly reached to be overhauled.

The invention discloses an acquisition early-warning system and method for number-7 signaling network messages. The system includes a HARRIS administrative switch, a serial-port server, an Ethernet switch, a main server and a plurality of query terminals. All PCU boards of the HARRIS administrative switch are connected with the serial-port server respectively. The serial-port server is connected with the Ethernet switch. The Ethernet switch is connected with the main server and the plurality of query terminals. The main server includes a CPU, and a data acquisition module, a data analysis module and an early-warning module, which are connected with the CPU. The beneficial effects of the acquisition early-warning system and method for the number-7 signaling network messages are that the system has an ability of acquiring and analyzing the number-7 signaling network messages; the system has an ability of fault correct positioning and early warning of the number-7 signaling network messages; and the system realizes operation maintenance and management of the number-7 signaling in the administrative switch, masters warning information in a real-time manner and deals with faults timely.

The invention relates to a temperature control method, a controller and a temperature-adjustable express black box. The temperature control method comprises the following steps: acquiring the temperature of an inner layer of a cover body; comparing the temperature with a preset temperature range; the temperature range comprising a temperature upper limit and a temperature lower limit; if the temperature of the inner layer of the cover body exceeds the temperature range, obtaining the temperature of the outer layer of the cover body and comparing the temperature of the outer layer of the cover body with the temperature range to obtain a comparison result; and starting a refrigerating device or a heating device in the cover body according to the comparison result until the temperature of the inner layer of the cover body is within the temperature range. The constant-temperature environment can be kept in the commodity transportation process, and if the set temperature is higher than the temperature outside the box and lower than the temperature inside the box, a ventilation opening is opened for ventilation to reduce the temperature; and if the set temperature is higher than the in-box temperature, the heating system is started to increase the in-box temperature. In addition, the running state, endurance time, battery life and the like of the express black box can be mastered in real time, the unqualified box bodies are recycled and maintained and put into use again, and the purpose of environmental protection is achieved.