CN112325930A - Environmental information processing and early warning method - Google Patents

Environmental information processing and early warning method Download PDF

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Publication number
CN112325930A
CN112325930A CN202011135162.8A CN202011135162A CN112325930A CN 112325930 A CN112325930 A CN 112325930A CN 202011135162 A CN202011135162 A CN 202011135162A CN 112325930 A CN112325930 A CN 112325930A
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data
junction box
early warning
warning
working state
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刘炎
陆俊
宜晶晶
王琪
徐麟
向孝阳
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Hefei Junbao Intelligent Technology Co ltd
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Hefei Junbao Intelligent Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01DMEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
    • G01D21/00Measuring or testing not otherwise provided for
    • G01D21/02Measuring two or more variables by means not covered by a single other subclass
    • GPHYSICS
    • G08SIGNALLING
    • G08BSIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
    • G08B21/00Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
    • G08B21/18Status alarms
    • G08B21/182Level alarms, e.g. alarms responsive to variables exceeding a threshold

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Abstract

The invention relates to an environmental information processing and early warning method, which is applied to computing equipment in a junction box and specifically comprises the following steps: firstly, detecting whether trigger information exists or not; then, if the trigger information is detected to exist, acquiring working state data of the junction box acquired by the detection unit; analyzing and processing the working state data of the junction box to judge whether a risk early warning event and/or a fault warning event exist or not; if the risk early warning event and/or the fault alarm event exist, sending a warning data packet to a server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions. By pre-judging and monitoring the abnormal conditions, the accidents can be prevented, and the occurrence probability of the emergency and the high maintenance cost caused by the emergency can be reduced.

Description

Environmental information processing and early warning method
Technical Field
The invention relates to the field of junction boxes for towers, in particular to an environmental information processing and early warning method.
Background
The optical fiber junction box for the tower is arranged at the top of an outdoor electric tower and an electric pole, the junction box comprises a base and a junction box shell assembled on the base, and a sealing strip is assembled between the junction box shell and the base. The junction box is generally assembled at an overhead position on an electric tower or an electric pole in a vertical posture, and particularly, the base is assembled and connected with the electric tower or the electric pole through screws. The weather environment influences the effect and can accelerate the aging of the sealing strip or lead to the inclination of the junction box. The inclination of the junction box is generally the integral inclination, and the reason for causing the inclination of the junction box is that screws are loosened due to the alternation of strong wind and cold and hot. The inclination of the junction box and the aging of the sealing strip can cause the sealing effect to be poor, so that the risk of the junction box being affected with damp or water is increased; box tilt and seal aging can also adversely affect the reliability of the internal fiber termination. The optical fiber junction box is corroded by water entering the optical fiber junction box, particularly, the stress of the optical fiber is changed by icing caused by accumulated water in the shell in winter, the risks of loss and failure are increased, and the transmission efficiency and reliability are greatly reduced. In the existing scheme of the optical fiber junction box intelligent system for the tower, effective early warning cannot be achieved in advance when a fault does not occur.
Disclosure of Invention
The invention aims to provide an environmental information processing and early warning method which can early warn the internal state of a junction box.
The technical scheme adopted by the invention is as follows.
An environmental information processing and early warning method is applied to computing equipment in an optical fiber junction box, and comprises the following steps:
detecting whether trigger information exists; the trigger information includes one or both of first trigger information, second trigger information, the first trigger information being a first interrupt signal issued by a timer internal to the computing device, the first interrupt signal is sent by a timer according to a preset time interval, the second trigger information is a second interrupt signal sent by a detection unit in the optical fiber junction box, the detection unit is used for collecting working state data of the junction box, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state, the second interrupt signal is sent out by the detection unit after the target data reaches a first preset threshold value in the detection unit; the target data is any one of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state;
if the trigger information exists, acquiring the working state data of the junction box acquired by the detection unit;
analyzing and processing the working state data of the junction box to judge whether a risk early warning event and/or a fault warning event exist or not;
if the risk early warning event and/or the fault alarm event exist, sending a warning data packet to a server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions.
Preferably, the method further comprises the following steps:
after the server sends the check information, acquiring the check information and judging whether the check information is the correct receiving confirmation information;
if the verification information is judged to be the correct receiving confirmation information, judging whether an updating instruction and an updating parameter exist in the correct receiving confirmation information; the updating instruction is used for controlling the computing equipment to update the updating parameters into the detection unit;
if the update instruction and the update parameter exist in the received correct confirmation information, updating the update parameter into the detection unit according to the update instruction;
wherein the update parameters comprise one or more of a sealing threshold parameter, a tilt angle threshold parameter, a temperature threshold parameter, a humidity threshold parameter, a light intensity threshold parameter, a power supply electric quantity threshold parameter, and an accumulated operation time threshold parameter.
Preferably, the working state data of the junction box comprises temperature data and pressure data, and the current temperature data is recorded as T2Current pressure data is noted as P2The method for analyzing and processing the working state data of the junction box comprises the following steps: firstly according to the formula
Figure BDA0002734458140000011
Calculating the variation delta eta, P of the ratio of pressure to temperature2、T2Respectively pressure data, temperature data, P of the current junction box1、T1Respectively the pressure and the temperature of the junction box when the junction box is installed;
then, it is judged whether or not Δ η exceeds η2And/or eta1Wherein η2<η1
If eta2<Δη<η1Then calculate the cumulative occurrence η2<Δη<η1Number of events of (d) tSeal early warningAnd when t isSeal early warning>t2If so, the air tightness deterioration early warning event exists, and the conclusion is stored in a warning data packet;
if Δ η > η1Then, the cumulative occurrence of Δ η > η is calculated1Number of events of (d) tSealing alarmAnd when t isSealing alarm>t1If so, the air tightness fault alarm event exists, and the conclusion is stored in an alarm data packet;
wherein the risk early warning parameters comprise eta2、η1、t2Said fault alarm parameter comprises eta1、t1
Preferably, the working state data of the junction box includes inclination angle data, the inclination angle is an included angle between the junction box and the gravity direction thereof, and is recorded as θ, and the method for analyzing and processing the working state data of the junction box includes:
judging whether theta exceeds theta1And/or theta2Wherein theta1<θ2
If theta1<θ<θ2If so, the result is that the inclination early warning event exists, and the result is stored in an alarm data packet; (ii) a Wherein, theta1An early warning lower limit threshold value of the inclination angle of the junction box;
if theta > theta2If yes, the conclusion is that the tilt alarm event exists, and the conclusion is stored in an alarm data packet; wherein, theta2An early warning lower limit threshold value of the inclination angle of the junction box; wherein the risk early warning parameters comprise theta1The fault alarm parameters include theta2
Preferably, the operating state data of the terminal box includes temperature data, the temperature data is recorded as T, and the method for analyzing and processing the operating state data of the terminal box includes:
judging whether T exceeds Tmax1And/or Tmax2Wherein, Tmax1<Tmax2
If Tmax1<T<Tmax2Then calculate the cumulative occurrence of Tmax1<T<Tmax2Judging whether the accumulated time reaches H hours or not, if so, obtaining a conclusion that high-temperature risk early warning exists, and storing the conclusion into a warning data packet; wherein, Tmax1An early warning lower threshold for temperature;
if T > Tmax2If yes, a conclusion is obtained, a high-temperature fault alarm exists, and the conclusion is stored in an alarm data packet; wherein, Tmax2An early warning upper limit threshold for temperature; wherein the risk early warning parameters comprise Tmax1H, the fault alarm parameters comprise Tmax2、H。
Preferably, the working state data of the junction box includes humidity data, the humidity data is recorded as RH, and the method for analyzing and processing the working state data of the junction box includes:
judging whether RH exceeds RHmax1And/or RHmax2Wherein RH ismax1<RHmax2
If RHmax1<RH<RHmax2Then calculate the cumulative occurrence of RHmax1<RH<RHmax2Judging whether the accumulated time reaches J hours or not, if so, obtaining a conclusion that high humidity risk early warning exists, and storing the conclusion into a warning data packet; wherein RH ismax1An early warning lower limit threshold for humidity;
if RH > RHmax2If yes, a conclusion is obtained that high-humidity fault alarm exists, and the conclusion is stored in an alarm data packet; wherein RH ismax2An early warning upper threshold for humidity;
wherein the risk early warning parameters comprise RHmax1J, fault alarm parameters including RHmax2、J。
Preferably, the working state data of the junction box includes light intensity data, the light intensity data is recorded as B, and the method for analyzing and processing the working state data of the junction box includes:
judging whether B exceeds BLIf so, a conclusion is obtained that a light leakage alarm event exists, and the conclusion is stored in an alarm data packet; wherein the fault alarm parameters comprise BL
Preferably, the operating state data of the terminal box includes an output voltage of the power supply in an uncharged state and an output voltage of the power supply in a charged state, and the method for analyzing and processing the operating state data of the terminal box includes:
judging whether the output voltage of the power supply in the uncharged state is reduced for D days continuously, if so, obtaining a conclusion that an energy recovery circuit risk early warning event exists, and storing the conclusion into an alarm data packet; wherein D is a threshold value of continuous descending days of the output voltage of the power supply in the uncharged state;
judging whether the output voltage attenuation of the power supply at night is greater than delta Vdis-chrgIf yes, the conclusion is that an electric quantity attenuation risk early warning event exists, and the conclusion is stored in a warning data packet; wherein, is Δ Vdis-chrgA threshold value of the output voltage attenuation amount of the power supply at night;
judging whether the output voltage of the power supply in the charging state is at the pre-charging time tpre-chrgInternal lower than the pre-charge voltage Vpre-chrgIf yes, the conclusion is that an alarm event that the battery is about to be damaged exists, and the conclusion is stored in an alarm data packet;
wherein, the risk early warning parameters comprise D and delta Vdis-chrgThe fault alarm parameter comprises tpre-chrg、Vpre-chrg
Preferably, the working state data of the junction box includes current time data, the current time data is recorded as t, and the method for analyzing and processing the working state data of the junction box includes:
firstly, according to the formula delta t ═ t-t0The cumulative operating time Δ t is calculated, t0The initial time for starting the operation of the junction box;
then judging whether delta t is larger than twork;tworkA threshold for accumulated run time;
if the judgment result shows that delta t is more than tworkIf so, the conclusion is that the accumulated running time risk early warning event exists, and the conclusion is stored in a warning data packet; wherein the risk early warning parameters comprise twork
A storage device having stored therein a plurality of instructions adapted to be executed by a processor to:
detecting whether trigger information exists; the trigger information includes one or both of first trigger information, second trigger information, the first trigger information being a first interrupt signal issued by a timer internal to the computing device, the first interrupt signal is sent by a timer according to a preset time interval, the second trigger information is a second interrupt signal sent by a detection unit in the optical fiber junction box, the detection unit is used for collecting working state data of the junction box, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state, the second interrupt signal is sent out by the detection unit after the target data reaches the risk early warning parameter in the detection unit; the target data is any one of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state;
if the trigger information exists, acquiring the working state data of the junction box acquired by the detection unit;
analyzing and processing the working state data of the junction box to judge whether a risk early warning event and/or a fault warning event exist or not;
if the risk early warning event and/or the fault alarm event exist, sending a warning data packet to a server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions.
A computing device mounted within a junction box, comprising:
a processor for executing instructions; and
a storage device storing a plurality of instructions adapted to be executed by a processor to:
detecting whether trigger information exists; the trigger information includes one or both of first trigger information, second trigger information, the first trigger information being a first interrupt signal issued by a timer internal to the computing device, the first interrupt signal is sent by a timer according to a preset time interval, the second trigger information is a second interrupt signal sent by a detection unit in the optical fiber junction box, the detection unit is used for collecting working state data of the junction box, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state, the second interrupt signal is sent out by the detection unit after the target data reaches the risk early warning parameter in the detection unit; the target data is any one of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state;
if the trigger information exists, acquiring the working state data of the junction box acquired by the detection unit;
analyzing and processing the working state data of the junction box to judge whether a risk early warning event and/or a fault warning event exist or not;
if the risk early warning event and/or the fault alarm event exist, sending a warning data packet to a server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions.
The utility model provides an optic fibre terminal box intelligence fault early warning system for tower based on thing networking, includes:
the above-described computing device mounted within a box of a fiber optic junction box;
the detection unit is connected with the computing equipment and used for acquiring working state data of the junction box and sending the working state data to the computing equipment, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, voltage data of a power supply in an uncharged state and voltage data of the power supply in a charged state, and the detection unit comprises one or more of a temperature and humidity sensor, an inclination angle detection sensor, a light intensity sensor, an air pressure sensor, a positioning device and a power supply state monitoring circuit; the positioning device is in communication connection with a satellite positioning system, wherein the satellite positioning system comprises one or more of a GPS (global positioning system), a Beidou satellite positioning system and a GLONASS (global navigation satellite system) satellite positioning system;
the server is in communication connection with the computing equipment through the LPWAN network communication technology and is used for at least receiving and processing the warning data packet sent by the computing equipment and sending confirmation information to the computing equipment after the warning data packet is received, wherein the confirmation information is correct confirmation information, and the LPWAN network communication technology at least comprises one or two of NB-IOT network communication technology and LoRa network communication technology.
The invention has the technical effects that:
the invention provides an environmental information processing and early warning method, which is applied to computing equipment in a junction box, and comprises the steps of acquiring state data in the junction box detected by a detection unit, analyzing and processing the state data, sending an alarm data packet to a cloud server when judging that the corresponding state data is abnormal, wherein the server can timely know the abnormal state of the junction box for timely processing due to judging whether an early warning event exists or not, so that the method can prevent the abnormal state, reasonably distribute the workload of maintenance personnel according to the data related to early warning, and reduce the occurrence probability of an emergency event and the high maintenance cost caused by the emergency event while effectively exerting the efficiency of the personnel; secondly, the warning data packet sent to the cloud server contains state data, and the state data contains position information and current time of the junction box, so that the cloud server can obtain the position of the junction box in an abnormal state and the time when the junction box is abnormal, and an efficient and reliable addressing mode is provided for maintenance of workers; in addition, because the computing equipment acquires the state data only when detecting the trigger information, the energy consumption can be effectively reduced, and the service cycle is prolonged.
In addition to the objects, features and advantages described above, other objects, features and advantages of the present invention are also provided. The present invention will be described in further detail below with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of an environmental information processing and warning method according to an embodiment of the present disclosure;
fig. 2 is a system block diagram for reflecting connection relationships of components in a junction box according to an embodiment of the present disclosure;
fig. 3 is a network architecture diagram of an intelligent fault early warning system for an optical fiber junction box for a tower based on the internet of things according to an embodiment of the present application;
fig. 4 is a front view of an optical fiber junction box for an intelligent internet of things type tower according to an embodiment of the present application;
3 FIG. 3 5 3 is 3 a 3 cross 3- 3 sectional 3 view 3 taken 3 along 3 line 3 A 3- 3 A 3 of 3 FIG. 34 3; 3
Fig. 6 is a disassembled schematic view of the optical fiber junction box for the smart internet tower shown in fig. 4;
fig. 7 is a front view of the cover and the environmental monitoring and data transceiving processing unit provided in the embodiment of the present application when the assembly is completed;
FIG. 8 is a cross-sectional view taken along line B-B of FIG. 7;
fig. 9 is a top view of an environmental monitoring and data transceiving processing unit according to an embodiment of the present disclosure;
FIG. 10 is a side view of FIG. 9;
FIG. 11 is a bottom view of the environmental monitoring and data transceiver processing unit shown in FIG. 9;
fig. 12 is a schematic structural diagram of a reflective insulation layer according to an embodiment of the present application;
fig. 13 is a schematic block diagram for reflecting a connection relationship between components on a main control electronic board according to an embodiment of the present application.
Detailed Description
In order that the objects and advantages of the present application will become more apparent, the present application will be described in detail with reference to the following examples. It is understood that the following text is intended only to describe one or several particular embodiments of the application and does not strictly limit the scope of the claims which are specifically claimed herein, and that the examples and features of the examples in this application may be combined with one another without conflict.
At present, the optical fiber junction box detection system for the tower has the following defects:
(1) one or more of a temperature and humidity sensor, an inclination angle sensor and an air pressure sensor are used as a fault judgment data source of the junction box in the existing optical fiber junction box for the tower, but an alarm can be sent only when a fault occurs, and the fault is difficult to prevent in the future, so that the manpower is often allocated emergently after the fault occurs, and the utilization rate of personnel is low.
(2) Although the existing optical fiber junction box for the tower utilizes wireless communication technologies such as the internet of things and the like, parameters of a risk early warning algorithm rule and parameters of a fault alarm algorithm rule cannot be independently and remotely updated according to regional characteristics, once the parameters need to be modified in actual use, the alarm of terminal equipment can be modified or shielded only in a server system, and resources of the internet of things and the electric power of the terminal equipment are wasted.
Referring to fig. 1 to 3, the embodiment first provides an intelligent fault early warning system for an optical fiber junction box for a tower based on the internet of things, which includes:
a computing device mounted within a box of a fiber optic junction box; the computing device may be an MCU or an electronic device including an MCU;
the detection unit is connected with the computing equipment and used for acquiring working state data of the junction box and sending the working state data to the computing equipment, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, voltage data of a power supply in an uncharged state and voltage data of the voltage in a charged state, and the detection unit comprises one or more of a temperature and humidity sensor, an inclination angle detection sensor, a light intensity sensor, an air pressure sensor, a positioning device and a power supply state monitoring circuit; the positioning device is in communication connection with a satellite positioning system, wherein the satellite positioning system comprises one or more of a GPS (global positioning system), a Beidou satellite positioning system and a GLONASS (global navigation satellite system) satellite positioning system;
the server is in communication connection with the computing equipment through the LPWAN network communication technology and is used for at least receiving and processing the warning data packet sent by the computing equipment and sending confirmation information to the computing equipment after the warning data packet is received, wherein the confirmation information is correct confirmation information, and the LPWAN network communication technology at least comprises one or two of NB-IOT network communication technology and LoRa network communication technology.
The method comprises the following implementation steps:
the method comprises the steps that firstly, a system is in a sleep mode in an initial state and waits for awakening, a specific awakening mode can be awakened by a timer and/or a sensor, the system is separated from the sleep mode and operates after awakening, and data are collected when the system operates, wherein the collected data comprise temperature, humidity, air pressure, light intensity, inclination angle of a junction box, battery electric quantity, geographical position information of the junction box and current time;
secondly, processing the acquired data, wherein the acquired data is processed according to a preset data processing and analyzing method, and the purpose is to perform early warning and alarm analysis, namely whether an early warning event or an alarm event exists or not is analyzed, and an analysis result is obtained;
and thirdly, after the data is processed in the second step, if an early warning event or an alarm event exists, uploading a warning data packet. The warning data packet is formed by packaging the acquired original data, the warning index and the abnormal early warning/warning conclusion into an event queue; meanwhile, starting LPWAN network communication technology modules such as NB-IOT and the like to send warning data packets to the cloud server; the alarm index is a threshold parameter preset by the system and used for carrying out comparison analysis with the acquired data, and if the threshold parameter is reached, early warning and/or alarm event judgment is carried out, so that a conclusion is obtained whether an early warning event or an alarm event exists or not; the cloud server can be provided with a display device for visually displaying current and/or past collected original data, alarm indexes and abnormal early warning/alarm conclusions;
fourthly, the cloud server receives the warning data packet uploaded by the junction box terminal and returns an ACK (acknowledgement character), wherein the ACK is correct receiving confirmation information, namely a response instruction, and indicates that data receiving is finished; the cloud server displays corresponding data of the junction box of the warning data packet, specifically including information such as temperature, humidity, air pressure, internal light intensity, external light intensity, inclination angle, geographical position, electric quantity and the like, and simultaneously displays a fault pre-judgment conclusion in the warning data packet; the fault prejudgment conclusion is that the computing equipment in the terminal junction box autonomously judges, so that the intellectualization of the system is improved, the data processing pressure of the cloud server is reduced, and the operation efficiency of the whole system is higher;
fifthly, the system enters a sleep mode.
As shown in fig. 1, the system online signal in the figure is similar to a mobile phone, and before accessing to the network, the system online signal is sent to the server to inform the server that the terminal device accesses to the network.
The beneficial effect that this application embodiment obtained through adopting above-mentioned scheme is that, from the analysis in the aspect of tower with optic fibre terminal box trouble cause, through internal integration multiple sensor and module, obtain information such as temperature, humidity, atmospheric pressure, light intensity, angle of inclination, time, geographical position, battery state, combine the intelligent fault early warning system who places in the terminal box to carry out integrated analysis to data to according to the corresponding incident of threshold value generation that sets for. The early warning system can not only give an alarm to faults, but also generate risk early warning aiming at the condition of internal state parameters. The system uses NB-IOT communication to access the Internet of things cloud platform, realizes equipment access and equipment connection, and quickly completes terminal deployment and data uploading. For the risk early warning function, because of it can send corresponding risk warning before equipment completely fails to provide geographical position information, consequently, the operation and maintenance personnel have enough time and energy to plan the risk, and can integrate risk investigation into daily patrolling and examining, optimize manpower structure, improve operation and maintenance efficiency, save the cost. In addition, through patrolling and examining, the operation and maintenance personnel can also discover unreasonable risk early warning parameter, can also realize according to local conditions through submitting new risk early warning parameter to the high in the clouds server.
In the second step, the collected data is processed, wherein the data is processed by using a preset data processing and analyzing method to perform early warning and alarm analysis. The specific analysis method is as follows:
(1) and the tightness of the junction box is judged by using the pressure intensity and the temperature. Note the book
Figure BDA0002734458140000061
The pressure and temperature inside the optical fiber junction box when the system is just installed are measured;
Figure BDA0002734458140000062
the internal pressure and temperature data currently collected by the system. When in use
Figure BDA0002734458140000063
Relative to
Figure BDA0002734458140000064
Deviation over η2Not exceeding η1And reach t2When the time is less than or equal to the preset time, generating an air tightness deterioration early warning event and storing the air tightness deterioration early warning event into an event queue; when in use
Figure BDA0002734458140000065
Relative to
Figure BDA0002734458140000066
Deviation over η1And reach t1And then, generating an air tightness fault alarm event, storing the air tightness fault alarm event into an event queue, and subsequently uploading the air tightness fault alarm event along with an alarm data packet to a cloud server. The air tightness degradation early warning event and the air tightness fault warning event stored in the event queue are abnormal warning conclusions, and the corresponding parameters for judgment are warning indexes.
(2) The inclination angle of the junction box is realized by using an inclination angle sensor, and the judgment is carried out by measuring the included angle between the inclination angle sensor and the gravity direction. When the inclination angle is larger than theta1Less than theta2Generating early warning events and storing the early warning events in an event queue; when the inclination angle is larger than theta2And generating an alarm event and storing the alarm event in an event queue.
(3) The junction box obtains internal temperature T and humidity RH data through the temperature and humidity sensor. Because the junction box is positioned at the top end of the high tower, the direct sunlight in daytime causes the internal temperature to be very high and highNot only can the device ageing rapidly of temperature, still can improve the saturated vapor volume of inside air by a wide margin, under the not good condition of leakproofness, through a plurality of cold and hot circulations round the clock after, can dissolve a large amount of steam in the inside air of terminal box. When the temperature is rapidly reduced, water vapor reserved in the junction box can be condensed on the surface of the inner wall of the junction box, and water accumulation occurs. When the internal temperature T is greater than Tmax1Less than Tmax2When the accumulation reaches H hours, triggering high-temperature risk early warning; when the internal temperature is greater than Tmax2And triggering high-temperature fault alarm. And the high-temperature risk early warning and the high-temperature fault warning are both used as events to be written into the event queue. Wherein, Tmax1、Tmax2Preferred values of (B) are 75 ℃ and 85 ℃ respectively.
When the internal humidity RH is greater than RHmax1Less than RHmax2When the accumulation reaches H hours, triggering high humidity risk early warning; when the internal humidity is higher than RHmax2And triggering a high humidity fault alarm. Both the high humidity risk early warning and the high humidity fault alarm can be used as events to be written into an event queue.
(4) After the junction box is deployed, the inside of the junction box is in a complete light-shading state, and the light intensity data code value acquired by the intelligent fault early warning system through the digital light intensity sensor is smaller than BLAnd is close to 0. However, once the light intensity is detected to be greater than BLB, indicating that the junction box has light leakage fault and generates light leakage alarm eventLThe code value of (1) is typically 255 cd. The thing networking transformation scheme of current terminal box all needs trompil on the casing, can increase connector or embedding monitoring module in trompil department, and connector or module inside also are provided with the light shield layer. The reason for light leakage is mainly caused by aging and deformation of the interface or the inner shading layer. After knowing that the light leakage exists in the junction box through detection, the interface can be sealed in time and the internal shading layer can be replaced.
(5) The intelligent fault early warning system judges whether the electric quantity is insufficient and the state through monitoring the battery voltage of the system. If the output voltage of the lithium battery continuously drops for D days, triggering an energy recovery circuit risk early warning event; the output voltage of the battery is attenuated to be more than delta V at nightdis-chrgThen triggering the attenuation of the electric quantityRisk early warning; the voltage of the lithium battery is in the charging process and is in the pre-charging time tpre-chrgInternal lower than the pre-charge voltage Vpre-chrgAnd triggering the battery to be damaged to alarm. Among them, the preferable day is 10 days. The accumulated days of continuous decline of the output voltage of the lithium battery are obtained by processing of a main controller MCU of the computing device, specifically, when the power detection circuit can detect that the output voltage is lower than an early warning threshold value, the main controller is awakened, the main controller re-collects and processes the output voltage data of the battery, if the output voltage data is really lower than the early warning threshold value, timing is started, when the time is accumulated to D days, the output voltage is always in a descending trend, and the main controller judges that a conclusion that an energy recovery circuit risk early warning event exists is obtained. The output voltage decrement delta V of the battery at night mainly depends on the output voltage of the battery obtained and calculated under the timing awakening state of the main controller, and the calculated output voltage decrement delta V and delta V of the battery at night are calculateddis-chrgIn contrast, if Δ V is greater than Δ Vdis-chrgThen, a conclusion that the electric quantity attenuation risk early warning event exists is obtained; wherein, is Δ Vdis-chrgThe lower limit value of the output voltage attenuation of the battery at night. Whether the pre-charging voltage of the lithium battery is normal or not is detected and judged by the power supply detection circuit, and the lithium battery which is over-discharged is remarkably reduced in voltage and cannot be charged according to the charging parameters which are not over-discharged. The power supply detection circuit starts to time when the lithium battery starts to charge, and when the charging time reaches the pre-charging time tpre-chrgAt first, the charging voltage and the pre-charging voltage V of the battery are adjustedpre-chrgComparing, if the charging voltage of the lithium battery is at the pre-charging time tpre-chrgInternal lower than the pre-charge voltage Vpre-chrgThe master controller then concludes that there is an alarm event, V, that the battery is about to be damagedpre-chrgIs the lower limit value of the charging voltage.
(6) The intelligent fault early warning system can also obtain the current time through the positioning module and calculate the accumulated running time of the system according to the current time. When the accumulated operation time exceeds tworkGenerating an accumulated runtime risk pre-warning event. Here, the main controller reads the position information and the time information of the current equipment through the positioning module, and the current equipment is arranged in the junction boxStarting the operation after the installation, and starting the accumulated operation time when the accumulated operation time of the junction box exceeds tworkThen the main controller judges the conclusion that the risk early warning event with accumulated running time exists, tworkIs an upper limit value of the accumulated operation time.
The intelligent fault early warning system uploads the collected data and the event queue to the cloud server through the NB-IOT module, and after receiving correct receiving confirmation information of the cloud server, the system enters a dormant state and waits for the next timer or sensor to be awakened. If the received correct confirmation information contains the data updating instruction and the parameters, the corresponding parameters are reconfigured, and after the corresponding parameters are reconfigured, the system enters a dormant state. Here, the ACK is received as the correct acknowledgement information.
The server performs a CRC check after receiving the data. The master controller is in a waiting state while the server checks the data. If the verification is wrong, replying a main controller at the terminal box end to receive error confirmation information to inform the main controller to upload data again until the server verifies the uploaded data to be correct, wherein the received error confirmation information is used for indicating that the data received by the server is incomplete and/or wrong; and if the server verifies that the data is correct, the replying junction box receives the correct confirmation information and the ACK. The work is finished by the server autonomously without manual operation.
Wherein the updating configuration parameters are sent by the server. The working personnel determine whether to modify the parameters according to the data uploaded to the server by the last junction box, and if the parameters are determined to be modified, the parameters needing to be modified are submitted to the server; after the next time of data reporting of the junction box is completed by the server and the data reported by the junction box is verified to be correct by the server, the server sends the received correct confirmation information to the computing equipment at the junction box end, the received correct confirmation information at the moment comprises an updating instruction and parameters needing updating so as to inform that the junction box has the parameters needing updating, and the computing equipment at the junction box end automatically updates the corresponding parameters according to the updating instruction.
In addition, regarding the updating of the parameters, if the server supports the updating, the right of modifying the parameters can also be delivered to the patrol operation and maintenance personnel, and the parameters can be configured on site through the patrol operation and maintenance personnel.
In practical applications, it is possible to use the MCU including the above instructions alone, that is, not only in a junction box, for this reason, the embodiment of the present application provides an environmental information processing and early warning method, which is applied in a computing device, where the computing device may be, but not limited to, a junction box for optical fibers/optical cables, and the computing device has instructions that can be executed, that is, the method includes the following steps:
firstly, detecting whether trigger information exists, namely detecting whether an interrupt signal is generated; the trigger information includes one or both of first trigger information, second trigger information, the first trigger information being a first interrupt signal issued by a timer internal to the computing device, the first interrupt signal is sent by a timer according to a preset time interval, the second trigger information is a second interrupt signal sent by a detection unit in the optical fiber junction box, the detection unit is used for collecting working state data of the junction box, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state, the second interrupt signal is sent out by the detection unit after the target data reaches the risk early warning parameter in the detection unit; the target data is any one of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state;
then, if the trigger information is detected to exist, acquiring the working state data of the junction box acquired by the detection unit; namely, reading corresponding working state data from the detection unit;
then, analyzing and processing the working state data of the junction box, and comparing the working state data of the junction box with preset corresponding risk early warning parameters and/or fault warning parameters to judge whether risk early warning events and/or fault warning events exist or not;
then, if a risk early warning event and/or a fault alarm event are judged to exist, a warning data packet is sent to the server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions; wherein, the risk early warning parameters and the failure alarm parameters are preset in the computing equipment, and the risk early warning parameters are also preset in the chips of the sensor and the power monitoring circuit, the risk early warning parameters in the sensor and the power monitoring circuit are preset for judging whether the detected data exceed the risk early warning parameters in real time, once the data exceed/reach the early warning parameters, second trigger information is generated to wake up the computing equipment to run, the computing equipment obtains the detection data of the sensor and/or the power monitoring circuit again after running and carries out comparison analysis with the preset risk early warning parameters and the failure alarm parameters again to judge whether a risk early warning event and/or a failure alarm event exist, if the risk early warning event exists, an alarm data packet containing a risk early warning conclusion is sent to the cloud server, and if the failure alarm event exists, and sending an alarm data packet containing the fault alarm conclusion to a cloud server for processing by cloud operation and maintenance personnel/an upper computer. Here, it is more important that the risk early warning parameter is lower than the threshold value set by the malfunction warning parameter, so that abnormality of data can be monitored in advance at the malfunction generator to cope with it in advance in case the situation is further deteriorated. Therefore, the fault rate can be reduced, the operation and maintenance strength can be reasonably configured, each junction box can be ensured to be in a normal operation state, and the loss can be effectively reduced.
The embodiment of the application mainly embodies that risk early warning is carried out on the abnormal condition of the junction box, but the early warning and the warning are different in fault level. Early warning, which shows that the system has risk but can still normally operate; and alarming to indicate that the system fault is generated or about to occur at the moment. Because the disaster grade of the early warning is lower than that of the alarm, the reporting times of the early warning events in actual use are necessarily higher than the alarm times. The increase of the reporting times means the increase of the data volume, thereby increasing the data processing pressure of the server and the working pressure of operation and maintenance personnel. The system leaves the factory and has default parameters, but the parameters can cause frequent early warning in some special occasions, for example, in the Tibet region, the environment is very bad, and some early warning parameters are not necessarily suitable. In order to optimize the local operation and maintenance strength, the early warning parameters can be remotely adjusted according to the actual situation. The number of times of early warning is reduced from the terminal equipment, and data traffic is saved. In actual application, environment states and use requirements of different regions may be different, so that parameters of the computing device in the terminal box need to be corrected or updated.
In order to make the updating and modifying of the parameters more convenient and efficient, the method further comprises:
after the warning data packet is sent to the server, the feedback information of the server is waited, namely the correct confirmation information is received, and whether an updating instruction and an updating parameter exist in the correct confirmation information is judged after the correct confirmation information is obtained; the updating instruction is used for controlling the computing equipment to update the updating parameters into the detection unit;
if the update instruction and the update parameters exist in the received correct confirmation information, updating the update parameters into the detection unit according to the update instruction, entering a sleep mode by the computing equipment in the terminal junction box after the parameter update is completed, waiting for the triggering information to be awakened again, and repeatedly executing the steps after the awakening;
if the update instruction and the update parameters do not exist in the received correct confirmation information, the computing equipment in the terminal junction box directly enters a sleep mode, waits for the triggering information to be awakened again, and repeatedly executes the steps after awakening;
wherein the update parameters comprise one or more of a sealing threshold parameter, a tilt angle threshold parameter, a temperature threshold parameter, a humidity threshold parameter, a light intensity threshold parameter, a power supply electric quantity threshold parameter, and an accumulated operation time threshold parameter.
The method for carrying out early warning and alarm analysis on the sealing performance index of the junction box by the computing equipment further comprises the following steps that working state data of the junction box comprise temperature data and pressure data, and the current temperature data is recorded as T2Current pressure data is noted as P2The method for analyzing and processing the working state data of the junction box comprises the following steps: firstly according to the formula
Figure BDA0002734458140000091
Calculating the variation delta eta, P of the ratio of pressure to temperature2、T2Respectively the pressure, temperature, P of the current junction box1、T1Respectively representing pressure data and temperature data of the junction box when the junction box is installed;
then, it is judged whether or not Δ η exceeds η2And/or eta1Wherein η2<η1
If eta2<Δη<η1Then calculate the cumulative occurrence η2<Δη<η1Number of events of (d) tSeal early warningAnd when t isSeal early warning>t2If so, the air tightness deterioration early warning event exists, and the conclusion is stored in a warning data packet;
if Δ η > η1Then, the cumulative occurrence of Δ η > η is calculated1Number of events of (d) tSealing alarmAnd when t isSealing alarm>t1If so, the air tightness fault alarm event exists, and the conclusion is stored in an alarm data packet;
here, the risk pre-warning parameters include η2、η1、t2(ii) a The fault alarm parameters include eta1、t1(ii) a The threshold parameter of sealability comprises eta2、η1、t2、t1
In the early warning or alarm analysis of whether the junction box is inclined by the computing device, in the embodiment of the present application, preferably, the working state data of the junction box includes inclination angle data, the inclination angle is an included angle between the junction box and the gravity direction thereof, and is denoted as θ, and the method for analyzing and processing the working state data of the junction box includes:
judging whether theta exceeds theta1And/or theta2Wherein theta1<θ2
If theta1<θ<θ2If so, the result is that the inclination early warning event exists, and the result is stored in an alarm data packet;
if theta > theta2Then it is concluded that a tilt alarm event exists and this conclusion is stored in the alert packet. Wherein, theta1An early warning lower limit threshold value of the inclination angle of the junction box; theta2The lower limit value of the early warning of the inclination angle of the junction box is used. The risk early warning parameter is theta1The fault alarm parameter is theta2(ii) a The tilt angle threshold parameter comprises theta1、θ2
In the aspect of monitoring the temperature in the junction box, in order to analyze and judge whether a high-temperature early warning and a high-temperature alarm exist in the junction box, a data processing scheme of the computing device may be that working state data of the junction box includes temperature data, the temperature data is recorded as T, and the method for analyzing and processing the working state data of the junction box includes:
judging whether T exceeds Tmax1And/or Tmax2Wherein, Tmax1<Tmax2
If Tmax1<T<Tmax2Then calculate the cumulative occurrence of Tmax1<T<Tmax2Judging whether the accumulated time reaches H hours or not, if so, obtaining a conclusion that high-temperature risk early warning exists, and storing the conclusion and a temperature early warning index into an alarm data packet; wherein the temperature early warning index is Tmax1<T<Tmax2H is reached;
if T > Tmax2If yes, a conclusion is obtained, a high-temperature fault alarm exists, and the conclusion and the temperature alarm index are stored in an alarm data packet; wherein the temperature alarm index is T > Tmax2. Wherein the risk early warning parameters comprise Tmax1H, the fault alarm parameters comprise Tmax2And H. The temperature threshold parameter comprises Tmax1、Tmax2、H。
In the aspect of monitoring the humidity in the junction box, in order to analyze and judge whether high humidity risk early warning and high humidity fault warning exist in the junction box, the data processing scheme of the computing equipment is that the working state data of the junction box comprises humidity data, the humidity data is recorded as RH, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether RH exceeds RHmax1And/or RHmax2Wherein RH ismax1<RHmax2
If RHmax1<RH<RHmax2Then calculate the cumulative occurrence of RHmax1<RH<RHmax2Judging whether the accumulated time reaches J hours or not, if so, obtaining a conclusion that high humidity risk early warning exists, and storing the conclusion and humidity early warning indexes into a warning data packet; wherein the humidity early warning index is RHmax1<RH<RHmax2J hours are reached;
if RH > RHmax2If yes, the conclusion is reached, the high humidity fault alarm exists, and the conclusion and the humidity fault alarm index are stored in the alarm data packet; wherein, the humidity fault alarm index is RH > RHmax2. Wherein the risk early warning parameters comprise RHmax1J, fault alarm parameters including RHmax2And J. The humidity threshold parameter comprises RHmax1、RHmax2、J。
Under normal conditions, certain light-shielding requirements need to be met in the box of the junction box, once light leakage occurs, the transmission performance, the service life and the like of the cable are possibly affected, in order to timely react to light leakage abnormity, the processing scheme of the computing equipment on light intensity data can be optimized, the working state data of the junction box comprises light intensity data, the light intensity data is recorded as B, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether B exceeds BLIt is concluded that there is light leakageAlarm events and store the conclusions in the alert data packet. Wherein B should be smaller than B under normal conditionsLAnd approaches zero. Wherein the fault alarm parameters comprise BL. The light intensity threshold parameter is BL
A battery is arranged in the junction box, in addition, light energy received by the photovoltaic panel is stored in the battery through an energy recovery and conversion circuit, if continuous rainy days occur, the problem of electric energy supply of the battery is caused, and whether the electric quantity of the battery is in an index capable of working normally or not needs to be continuously concerned; in addition, if the battery has a fault, for example, the storage capacity is reduced, and the battery cannot be charged normally, in this way, corresponding abnormal conditions must be known in advance, and then intervention and troubleshooting can be performed before the terminal monitoring and pre-judging system of the junction box fails, so as to ensure the normal operation of the system. Therefore, the monitoring scheme of the computing equipment for the battery capacity is that the working state data of the junction box comprises the output voltage of the power supply in the uncharged state and the output voltage of the power supply in the charged state, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether the output voltage of the power supply in the uncharged state is reduced for D days continuously, if so, either the battery charging problem exists or the voltage data is continuously reduced for a time exceeding a normal range in a rainy day continuously, and drawing a conclusion that an energy recovery circuit risk early warning event exists and storing the conclusion into an alarm data packet; wherein D is a threshold value of continuous descending days of the output voltage of the power supply in the uncharged state;
judging whether the output voltage attenuation quantity of the power supply at night in the uncharged state is larger than delta V or notdis-chrgIf the situation exists, namely, the daytime is rainy, enough light energy is not converted into electric energy to charge the battery, and the residual electric quantity is urgent, the conclusion is drawn that the electric quantity attenuation risk early warning event exists, and the conclusion is stored in the warning data packet; the time period of the night can be 19 o 'clock to 05 o' clock of the next day, and can also be set according to the actual situation; wherein, is Δ Vdis-chrgA threshold value of the output voltage attenuation amount of the power supply at night;
judging whether the output voltage of the power supply in the charging state is at the pre-charging time tpre-chrgInternal lower than the pre-charge voltage Vpre-chrgIf this is the case, i.e., no charge is going on or off, the computing device concludes that there is an impending battery damage alarm event and stores the conclusion in an alert packet. In other words, if the battery is in the pre-charge time tpre-chrgInternal, voltage does not exceed the pre-charge voltage Vpre-chrgThen, it indicates that the battery cannot be charged and should be replaced as soon as possible. Wherein, the risk early warning parameters comprise D and delta Vdis-chrgThe fault alarm parameter comprises tpre-chrg、Vpre-chrg(ii) a The power supply electric quantity threshold parameters comprise D and delta Vdis-chrg、tpre-chrg、Vpre-chrg
The intelligent fault early warning system can also obtain the current time through the positioning module and calculate the accumulated running time of the system according to the current time. When the accumulated runtime is exceeded, an accumulated runtime risk pre-warning event is generated. The main controller reads the position information and the time information of the current equipment through the positioning module, the operation time is accumulated when the terminal box is installed and starts to operate, and when the accumulated operation time of the terminal box exceeds, the main controller judges that the conclusion of the risk early warning event of the accumulated operation time exists and the conclusion is the upper limit value of the accumulated operation time. The following is an embodiment of the present solution:
the working state data of the junction box comprises current time data, the current time data is recorded as t, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
firstly, according to the formula delta t ═ t-t0The cumulative operating time Δ t is calculated, t0The initial time for starting the operation of the junction box;
then judging whether delta t is larger than twork;tworkA threshold for accumulated run time;
if the judgment result shows that delta t is more than tworkIf so, the conclusion is that the accumulated running time risk early warning event exists, and the conclusion is stored in a warning data packet;
wherein the risk early warning parameters comprise twork。tworkThe run time threshold parameter is accumulated.
In practical applications, the above method/program instructions may be stored on a carrier, but the corresponding technical problem can be solved only by running a processor subsequently, so as to achieve the intended effect, and for this reason, the present application further provides another implementation manner of the above instructions, that is, a storage device, in which a plurality of instructions corresponding to one or more of the above methods are stored, and the instructions are suitable for being executed by the processor.
The above solution can also be applied to another form of carrier/device/apparatus with data processing function, for which, the embodiment of the present application further provides a computing apparatus installed in a junction box, including:
a processor for executing instructions corresponding to one or more of the above methods; and
a storage device for storing a plurality of instructions corresponding to one or more of the above methods, the instructions adapted to be executed by a processor.
Referring to fig. 2 and fig. 3, the method described above may be applied not only to a computing device in a terminal junction box, but also to a scenario in which the computing device is interconnected with a server for remote monitoring, and the embodiment of the present application further provides an intelligent fault early warning system for a tower optical fiber junction box based on the internet of things, including:
the above-described computing device mounted within a box of a fiber optic junction box; the computing device having a memory and a processor therein, the memory for storing a plurality of instructions corresponding to one or more of the above methods, the instructions adapted to be executed by the processor;
the detection unit is connected with the computing equipment and used for acquiring working state data of the junction box and sending the working state data to the computing equipment, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, voltage data of a power supply in an uncharged state and voltage data of the power supply in a charged state, and the detection unit comprises one or more of a temperature and humidity sensor, an inclination angle detection sensor, a light intensity sensor, an air pressure sensor, a positioning device and a power supply state monitoring circuit; the positioning device is in communication connection with a satellite positioning system, wherein the satellite positioning system comprises one or more of a GPS (global positioning system), a Beidou satellite positioning system and a GLONASS (global navigation satellite system) satellite positioning system;
the server is in communication connection with the computing equipment through the LPWAN network communication technology and is used for at least receiving and processing the warning data packet sent by the computing equipment and sending confirmation information to the computing equipment after the warning data packet is received, wherein the confirmation information is correct confirmation information, and the LPWAN network communication technology at least comprises one or two of NB-IOT network communication technology and LoRa network communication technology.
When the embodiment of the application is implemented specifically, the model can be used for monitoring the internal light intensity by using a high-precision digital light intensity sensor with the BH1750 model, the model is used for monitoring the internal temperature and the humidity by using a temperature and humidity sensor with the Si7021 model, the model is used for monitoring the internal air pressure by using an air pressure sensor with the BMP180 model, the model is used for monitoring the inclination angle of a junction box by using a triaxial acceleration sensor with the ADXL345 model, the geographic position and the time information can be obtained by using any one or more existing positioning systems, the model can be used for detecting the electric quantity and the battery state by using a power state monitoring circuit with the AXP209 model, the comprehensive data is subjected to intelligent fault early warning analysis on the junction box state by using a low-power STM32 master controller, the optimal model is STM32L152, the data interaction. The data interaction with the cloud server is completed by utilizing the Internet of things, and the data interaction includes but is not limited to sending parameter updating instructions and updated parameters to the main controller in the junction box of the terminal through the cloud server so as to correct or update threshold parameters such as the main controller. The AXP209 chip can output a pulse signal when the voltage is too low, and the signal can wake up the MCU. The model is APX209 power state monitoring circuit, which is internally provided with a coulometer and a charging circuit and can detect the electric quantity and the battery voltage. The server is preferably a cloud server.
Because the early-warning fault level is lower than the alarm fault level, in the aspect of the threshold range, the early-warning threshold range contains the alarm threshold range, namely the lower limit value of the early-warning is greater than or equal to the lower limit value of the alarm, and the upper limit value of the early-warning is less than or equal to the upper limit value of the alarm. Therefore, each sensor can autonomously judge the risk early warning, the MCU is required to read the data of the sensor during the fault alarm, and after further judgment, if the alarm is given, an alarm event is generated.
The sensor is internally provided with a lower limit value register and/or an upper limit value register respectively, the upper limit value and the lower limit value are within the range of the sensor, the upper limit value is an early warning threshold value upper limit value and an alarm threshold value upper limit value, the lower limit value is an early warning threshold value lower limit value and an alarm threshold value lower limit value, the early warning threshold value lower limit value is larger than the alarm threshold value lower limit value, the early warning threshold value upper limit value is smaller than the alarm threshold value upper limit value, and the early warning threshold value range is included in the alarm threshold value range. The sensor has the characteristic of real-time monitoring because the sensor has extremely low operation power consumption. When the monitored value is higher than the upper limit value or lower than the lower limit value, the sensor sends out a pulse signal from the INT pin. The pin connected with the MCU is configured as a signal edge interrupt input pin, which means that the MCU can be woken up to exit the sleep mode as long as a rising edge or a falling edge occurs on the pin of the MCU, namely, the edge is triggered. Therefore, the external awakening of the MCU can be considered when an early warning event occurs, but not when an alarm event occurs, so that the early warning effect is achieved; if the early warning event really occurs and the alarm event exists, the MCU is required to further judge. The MCU further judging method comprises the following steps: and reading the working state data of the corresponding sensor or the power supply monitoring circuit again, comparing and analyzing the working state data with the pre-warning threshold parameter or the warning threshold parameter preset in the MCU to judge whether the pre-warning event or the warning event exists, and if the pre-warning event or the warning event exists, storing a judgment conclusion, the obtained working state data, the pre-warning threshold parameter or the warning threshold parameter into a warning data packet and uploading the warning data packet to the server.
The preset early warning threshold parameter and the preset alarm threshold parameter are written into the main controller, and the early warning threshold parameter and/or the alarm threshold parameter are also written into the sensor. Wherein, if the judgment of some parameters only has one reference value, such as the judgment of the light intensity data, and only has one alarm threshold value, the light intensity sensor writes the alarm threshold value as the reference value for comparison. The reason for writing the pre-alarm threshold parameter into the sensor is that the main controller has two working states:
and in the first working state, the main controller is in an internal timing awakening mode, the main controller is triggered by a built-in timer according to a clock interrupt signal sent out at a preset time interval to exit from the sleep mode, acquires data of each sensor and/or battery electric quantity data and/or position data and current time data, compares the acquired data of the sensor and/or battery electric quantity with an early warning threshold parameter and an alarm threshold parameter preset in the main controller, and further judges whether an early warning event and/or an alarm event exists. The pattern is short in duration.
And in the second working state, the main controller is in an external wake-up mode, and in the second working state, the main controller is firstly in a low-power consumption dormant state (the main controller is in the state most of time), and at the moment, the main controller does not have the capability of acquiring the environmental parameters. In order to continuously obtain the early warning capability of the environmental parameters, the early warning threshold parameters and/or the warning threshold parameters are written into the corresponding sensors and/or the power supply monitoring circuit. And when the environmental parameter exceeds the early warning threshold parameter/alarm threshold parameter set in the sensor and/or the power supply monitoring circuit, the sensor/power supply monitoring circuit sends out a wake-up signal to wake up the main controller. And after the master controller is awakened, the data of each sensor can still be collected again, and the threshold value comparison is carried out, so that whether an alarm event exists or not is judged.
The sensors themselves may also be equipped with threshold setting, threshold comparison and/or alarm event output functions.
The risk early warning threshold value of each environmental parameter can be implemented specifically according to the following scheme:
the threshold parameter of the high-temperature early warning is different in different areas and can be set through the cloud, and the default value is 65 ℃;
the threshold parameter of the humidity early warning is different in different regions and can be set through the cloud, and the default value is 60%;
the threshold parameter of the light intensity early warning is that the default binary code value is 100;
for the threshold parameter of the air pressure early warning, for the constant volume gas in the actual situation, the relation between the pressure and the temperature approximately meets the ideal gas equation: PV ═ nRT, where P is pressure in Pa and V is volume in m3N is the amount of material in mol, T is the temperature in K, and R is the constant of the universal gas.
The power consumption of the main controller is larger than that of each sensor, and more power can be consumed when the main controller is operated all the time, so that the main controller is regulated and controlled to be in a dormant state and an awakening state through the scheme, the power consumption is saved, and the service cycle of the battery is prolonged. When the master is operating in the sleep mode, monitoring of the environmental data will be performed by the much smaller power consuming sensors and implementations, but the final information determination is still performed by STM 32.
The intelligent fault early warning system of the optical fiber junction box for the tower can not only prevent the fault in the bud, but also reasonably distribute the workload of maintenance personnel through early warning data, effectively exert the efficiency of the personnel, reduce the probability of emergency occurrence and the high maintenance cost caused by the emergency occurrence, remotely update parameters and deploy the intelligent fault early warning system according to the conditions. This patent intelligence trouble early warning system utilizes temperature, humidity, atmospheric pressure, light intensity, inclination angle sensor to acquire corresponding environmental information, utilizes power monitoring circuit to acquire the battery state, utilizes orientation module to acquire current time, geographical position information, totally eight kinds of status information are used for the local analysis processes who carries out trouble early warning and warning. And uploading the processed information to a cloud server through low-power-consumption wireless communication technologies such as NB-IOT, LoRa and the like. And reporting to the cloud server once a fault or fault risk early warning is detected. The position of the junction box is obtained through the positioning system, the updating work of the junction box position database is greatly simplified, and an efficient and reliable addressing mode is provided for the overhaul of workers. The system internally comprises a low power consumption management algorithm and a battery state monitoring algorithm and is used for reducing power consumption and acquiring a battery state. The system can early warn and alarm the following risks or faults: sealing risk early warning and fault alarming; risk early warning and fault alarming of the inclination angle; risk early warning and fault alarm of high temperature and high humidity; fault alarm of light leakage; early warning the risk of battery power attenuation and alarming about damage; and accumulating risk early warning of the running time.
Aiming at special environments of part of special areas, the intelligent fault early warning system can acquire and update independent early warning and warning configuration parameters from the cloud server, and carries out fault risk early warning and fault warning on the optical fiber junction boxes for towers in different areas according to local conditions. The master controller is used as a slave device and controlled by the cloud server to update parameters, the parameter updating is the requirement of manually submitting parameter modification, and the server adds new parameters in information confirmation after the master controller uploads data.
At present, the problems faced by the optical fiber junction box in the prior art are as follows: the traditional optical cable splice box for the tower has some disadvantages in the use process, such as: most equipment requires a person to make periodic visits, and staff will only detect a significant failure of the splice closure. If communication failure occurs, due to the fact that the basic conditions of the position where the failed joint box is located and the site cannot be judged, workers cannot check along the line, a large amount of manpower is consumed, real-time monitoring and real-time early warning of the internal condition of the joint box are difficult to carry out, and risk factors cannot be effectively restrained when the failure does not occur. Because the optical cable splice box for the tower is deployed at the high places of outdoor electric towers and electric poles for a long time for use, the environment is very severe. The main risk factor and the drawback that face of current optical cable splice box for tower are:
(1) the optical cable joint box for the tower is subjected to dust-proof and waterproof failures, so that the internal humidity rises;
(2) the optical cable connector box for the tower inclines, and the connector box sealed by the hoop is very easy to incline due to the larger weight of the bell cover part of the connector box, so that the connector box is further likely to overturn, and the hidden trouble of water accumulation inside the connector box and the damage of optical fibers are caused.
(3) The temperature inside the optical cable splice box for the tower is too high. In the case of direct sunlight during the day, high temperature and high humidity can accelerate the aging of internal critical components.
(4) The position information of the optical cable splice closure for the tower greatly depends on a database, particularly the position information and the accumulated running time information, real-time updating is difficult to achieve, and once the database is not updated in time, a large amount of time and energy of workers are consumed.
In view of the above problems, an embodiment of the present application provides an optical fiber junction box for an intelligent internet of things type tower, which is shown in fig. 4 to 13 and aims to solve the technical problem that: the existing junction box 100 has partial devices outside the junction box 100 and lacks protection; the terminal box housing 120 needs to be perforated to affect the sealing performance, and then, the temperature, humidity, air pressure, light intensity and other factors in the terminal box 100 can be affected.
The embodiment provided by the application comprises a terminal box base 110 and a terminal box shell 120 arranged on the terminal box base 110, wherein an assembly opening 121 is formed in one side, far away from the terminal box base 110, of the terminal box shell 120, an environment monitoring and data receiving and transmitting processing unit 200 is arranged at the assembly opening 121, and the environment monitoring and data receiving and transmitting processing unit 200 is in communication connection with a cloud server through a network; the terminal box further comprises a cover body 300 covering the external side of the environment monitoring and data receiving and transmitting processing unit 200, wherein the cover body 300 is positioned outside the terminal box 100, and a cover opening of the cover body 300 is connected with the terminal box shell 120 in a sealing fit manner; the environment monitoring and data receiving and transmitting processing unit 200 collects environment data and position data of the junction box 100 in real time, performs fault analysis according to the collected environment data, generates early warning or alarm information when the environment data exceeds a preset threshold, and transmits the early warning or alarm information and the position data of the junction box 100 to the cloud server, and a worker can know the position of the junction box 100 and the fault information of the junction box 100 through the cloud server, wherein the environment data of the junction box 100 comprises one or more of temperature and humidity, air pressure, light intensity and an inclination angle of the junction box 100 in the junction box 100, the preset threshold comprises one or more of a temperature and humidity threshold, an air pressure threshold, a light intensity threshold and an inclination angle threshold of the junction box 100, and the early warning or alarm information comprises current environment data, information for prompting that the current environment data is about to exceed the preset threshold, and, And prompting one or more of the information that the current environment data exceeds the preset threshold.
According to the optical fiber junction box for the intelligent internet of things type tower, the environment monitoring and data receiving and transmitting processing unit 200 is arranged at the assembling port 121 on one side, far away from the junction box base 110, of the junction box shell 120, the environment monitoring and data receiving and transmitting processing unit 200 is in network communication connection with the cloud server and used for collecting environment data and position data of the junction box 100 in real time, fault analysis is conducted according to the collected environment data, early warning or alarm information is generated when the environment data exceeds a preset threshold value, and the early warning or alarm information and the position data of the junction box 100 are sent to the cloud server, so that faults can be found in time, efficiency of troubleshooting the position of the junction box 100 is improved, and troubleshooting efficiency is improved; in addition, the cover 300 is disposed outside the environmental monitoring and data receiving and transmitting processing unit 200, the cover 300 is located outside the junction box 100, and the cover opening of the cover 300 is connected with the junction box housing 120 in a sealing fit manner, so that the environmental monitoring and data receiving and transmitting processing unit 200 can be protected, and at least a dustproof and waterproof effect can be achieved. By adopting the above scheme, not only can provide efficient, reliable mode of looking for examining for the staff overhauls, improve the discovery and the investigation efficiency of terminal box 100 trouble, can also protect environmental monitoring and data receiving and dispatching processing unit 200, improve environmental monitoring and data receiving and dispatching processing unit 200's life and to the adaptability of environment.
Specifically, referring to fig. 5 to 11, the environmental monitoring and data transceiving processing unit 200 includes a mounting base 210, an LPWAN communication antenna 220, a positioning module antenna 230, a photovoltaic panel 240, a main control electronics panel 250, a main controller 260, an LPWAN communication module 270, a positioning module 280, and a sensor assembly 290, wherein the sensor assembly 290 includes one or more of a temperature and humidity sensor 291, an inclination angle detection sensor 292, a light intensity sensor 293, and a pressure sensor 294; temperature and humidity sensor 291 is used for collecting temperature and humidity data in terminal box 100, inclination angle detection sensor 292 is used for detecting an inclination angle of terminal box 100 to represent the posture of terminal box 100, light intensity sensor 293 is used for detecting light intensity data in terminal box 100, and air pressure sensor 294 is used for detecting air pressure data in terminal box 100. The mounting seat 210 is detachably assembled in the assembling opening 121, the mounting seat 210 is in sealing fit with the assembling opening 121, the main control electronics board 250 is installed on the mounting seat 210, and the cover opening of the cover body 300 is assembled with the mounting seat 210. The LPWAN communication antenna 220 and the positioning module antenna 230 are both installed on one side of the main control electronics board 250 facing the enclosure 300, that is, the LPWAN communication antenna 220 and the positioning module antenna 230 are located in a cavity formed by the enclosure 300 and the main control electronics board 250; the LPWAN communication antenna 220 and the positioning module antenna 230 are electrically connected to the main control electronics board 250. The sensor assembly 290, the main controller 260, the LPWAN communication module 270, and the positioning module 280 are all installed on one side of the main control electronics board 250 facing the junction box base 110, that is, the sensor assembly 290, the main controller 260, the LPWAN communication module 270, and the positioning module 280 are located in a chamber enclosed by the main control electronics board 250, the junction box housing 120, and the junction box base 110; the sensor assembly 290, the main controller 260, the LPWAN communication module 270, and the positioning module 280 are electrically connected to the main control electronics board 250. The main controller 260 is electrically connected to the sensor module 290, the LPWAN communication module 270, and the positioning module 280, respectively. The LPWAN communication module 270 is electrically connected to the LPWAN communication antenna 220 via the main control electronics board 250. The LPWAN communication antenna 220 is in communication connection with the cloud server; the positioning module 280 is electrically connected to the positioning module antenna 230 through the main control electronics board; the positioning module antenna 230 is in communication connection with a satellite positioning system, wherein the satellite positioning system includes one or more of a GPS satellite positioning system, a beidou satellite positioning system, and a GLONASS satellite positioning system. Wherein, the sensor assembly 290 collects environmental data and transmits the environmental data to the master controller 260; the positioning module 280 interactively communicates with the satellite positioning system through the positioning module antenna 230 to obtain position data of the junction box 100 and sends the position data to the main controller 260, wherein the position data comprises longitude and latitude data of the junction box; the main controller 260 receives the environmental data, analyzes and processes the environmental data, compares the analyzed and processed environmental data with a preset threshold value in the main controller 260, and sends early warning or alarm information and position data of the junction box 100 to the cloud server when the environmental data enters/reaches a preset threshold value range.
The positioning module antenna 230 and the positioning module 280 may be implemented by using corresponding components or devices in the prior art.
The LPWAN (low power consumption wide area network) is also a low power consumption wide area network, and compared with the existing SIM card communication mode, the power consumption and the cost can be greatly reduced.
The LPWAN communication antenna 220 is an NB-IOT antenna/LoRa antenna, and the LPWAN communication module 270 is an NB-IOT module/LoRa module. That is, the NB-IOT/LoRa communication technology is adopted, and the power consumption can be effectively reduced by adopting the wireless communication technology.
In addition to the implementation of the solution of the present embodiment by using low power consumption wireless communication technologies such as NB-IOT, LoRa, etc., any one of the communication technologies SIGFOX, Telensa, LTE Cat-M1 may be selected for implementation of the present embodiment.
The preset threshold is written not only into the main controller but also into each sensor, and the reason why the sensor is written into is that the main controller has two working states:
one is, master controller 260 works under the mode of waking up regularly in inside, and each sensor data is gathered to master controller 260 under this mode to compare the data of gathering with the preset threshold value of writing in advance in the master controller 260, and then judge whether there is the alarm incident, if there is the alarm incident then send early warning information or alarm information to the high in the clouds via LPWAN communication antenna 220 by master controller 260. This mode is short in duration;
secondly, the main controller 260 operates in an external wake-up mode, i.e. a sleep state, and needs to be woken up by sending a sleep interrupt signal from the outside and then can operate normally. In this mode, the master controller 260 is first in a low power consumption sleep state, and the master controller 260 does not have the capability of acquiring the environment parameters. In order to continuously obtain the early warning capability of the environmental parameters, the parameters are written into the corresponding sensors. When the environmental parameter exceeds the preset threshold range written in the sensor in advance, the sensor sends a wake-up signal to wake up the main controller 260. After the main controller 260 is awakened, the data of each sensor still can be collected again, and the collected data is compared with a preset threshold value written in the main controller 260 in advance, so that whether an alarm event exists or not is judged; the main controller 260 is in the working state of the external wake-up mode most of the time, so that a large amount of energy consumption can be saved, and the adaptability of the device in long-time operation in a field environment is improved.
Of course, those skilled in the art can understand that the preset threshold written in each sensor and the threshold written in the master controller 260 may not be completely the same, and usually, the threshold set by the preset threshold written in the sensor may be slightly lower than the threshold set by the preset threshold in the master controller 260, so that once an abnormality occurs, the master controller 260 may be awakened in advance, and more reaction and processing time is reserved for the master controller 260, so as to feed back the early warning or alarm information to the cloud server in time, and thus, the fault discovery and troubleshooting operations are more timely and faster.
In order to enable the junction box 100 and the environmental monitoring and data transceiving processing unit 200 to be suitable for a long-term field working environment, referring to fig. 5 to 11, preferably, in the embodiment of the present application, the environmental monitoring and data transceiving processing unit 200 further includes a photovoltaic panel 240, an energy recovery conversion module 500, and a rechargeable battery 600; the photovoltaic panel 240 is installed on one side of the main control electronics panel 250 facing the cover 300, the photovoltaic panel 240 is electrically connected with the main control electronics panel 250, the energy recovery conversion module 500 and the rechargeable battery 600 are both installed on one side of the main control electronics panel 250 facing the junction box base 110, and the energy recovery conversion module 500 and the rechargeable battery 600 are both electrically connected with the main control electronics panel 250; the photovoltaic panel 240 is connected with the energy recovery and conversion module 500 through the main control electronics panel 250, and the rechargeable battery 600 is connected with the energy recovery and conversion module 500; the cover body 300 is made of a transparent material, so that the light transmittance is improved, and the absorption utilization rate of the photovoltaic panel 240 to light energy is increased; the photovoltaic panel 240 collects light energy, the energy recovery and conversion module 500 converts the light energy into electric energy and charges the rechargeable battery 600, and the rechargeable battery 600 stores the electric energy and supplies power to the LPWAN communication antenna 220, the positioning module antenna 230, the sensor assembly 290, the main controller 260, the LPWAN communication module 270 and the positioning module 280 through the main control electronics board 250.
Referring to fig. 4 to 8, the cover 300 has an incomplete spherical shell structure. The photovoltaic panel 240, the energy recovery conversion module 500 and the rechargeable battery 600 constitute a small photovoltaic energy recovery system, and the small photovoltaic energy recovery system is packaged in the spherical protective casing, so that the junction box 100 can stably work in the field environment for a long time. The cover body 300 adopts a spherical appearance characteristic, so that dust is not easy to accumulate on the outer surface of the cover body 300, a good light-passing window can be provided to ensure the photovoltaic power generation capacity, meanwhile, the NB-IOT antenna and the positioning module antenna 230 can have a wide radio frequency communication emission angle, the communication efficiency is improved, the energy consumption is reduced, and the cover body is protected from the influence of weather conditions such as wind, rain and the like.
The cover 300 is preferably a hemispherical shell structure. The hemispherical shell is more convenient to process and manufacture.
The cover body 300 is made of organic glass, the organic glass has high strength, light transmission, corrosion resistance, high and low temperature resistance and other performances, and can efficiently protect components in the environment monitoring and data receiving and transmitting processing unit 200.
Cover 300 and mount 210 are bonded and fixed by a highly reliable adhesive.
Referring to fig. 5 to 12, the environmental monitoring and data transceiving processing unit 200 further includes a reflective thermal insulation layer 700, the reflective thermal insulation layer 700 is disposed on a side of the main control electronics board 250 away from the terminal box base 110, the NB-IOT antenna, the positioning module antenna 230, and the photovoltaic panel 240 are all located on a side of the reflective thermal insulation layer 700 away from the main control electronics board 250, and the reflective thermal insulation layer 700 is used for blocking and reflecting light and heat. The NB-IOT antenna, the positioning module antenna 230 and the photovoltaic panel 240 are fixed on the surface of the reflective heat insulation layer 700. The reflective thermal insulation layer 700 can reduce the absorption of the environmental monitoring and data transceiving processing unit 200 to the light and heat, and simultaneously has a good light shielding effect on the inside of the junction box 100.
As shown in fig. 8 and 12, the reflective insulation layer 700 includes a reflective layer 710 and an insulation layer 720, the reflective layer 710 is disposed near one side of the photovoltaic panel 240 for reflecting light, and the insulation layer 720 is disposed near one side of the main control electronic board 250 for blocking heat from being radiated and conducted to the main control electronic board 250.
Referring to fig. 5 to 11, an NB-IOT antenna interface for connecting an NB-IOT antenna, a positioning module antenna 230 interface for connecting the positioning module antenna 230, and a photovoltaic panel 240 interface for connecting the photovoltaic panel 240 are welded and assembled on a side surface of the main control electronics board 250 away from the terminal box base 110, and an a vacancy portion a, a vacancy portion B, and a vacancy portion C are provided on the reflective insulation layer 700 to avoid the NB-IOT antenna interface, the positioning module antenna 230 interface, and the photovoltaic panel 240 interface, respectively; a reflective thermal barrier layer 700 is disposed proximate to a surface of the master electronics board 250. On the surface of the main control electronics board 250 away from the terminal box base 110, there are no other electronic components except for the NB-IOT antenna interface, the positioning module antenna 230 interface, and the photovoltaic panel 240 interface, so as to ensure that the reflective insulation layer 700 can be well attached to the surface of the main control electronics board 250.
Referring to fig. 6, the mounting seat 210 is formed by an annular frame, the outer periphery of the annular frame is detachably and hermetically connected with the mounting port 121, and the inner side of the annular frame is attached to the edge of the reflective thermal insulation layer 700.
In order to avoid the deformation of the reflective insulation layer 700 caused by long-term use, the reflective insulation layer 700 is assembled and connected with the optical electronic board through a locking piece.
Preferably, referring to fig. 6 to 8, a plurality of screws are further provided between the reflective insulation layer 700 and the circuit board for fixing.
The surface of the reflective insulation layer 700 facing away from the master electronic board 250 is formed by an aluminum alloy film reflective layer 710. The aluminum alloy film has the characteristics of low cost and high reflectivity, and can effectively reflect light wave components generating heat effect in sunlight.
The reflective insulation layer 700 may be a reflective insulation product according to the prior art, in which an aluminum alloy film is used as the material of the reflective layer 710 and insulation foam is used as the material of the insulation layer 720, wherein the insulation foam may be various.
Of course, the reflecting layer 710 formed by the aluminum alloy thin film can be replaced by a mirror stainless steel sheet, or a structure made of other metal thin films and having a smooth surface as a reflecting surface can be adopted, as long as the purpose of reflecting the light wave component generating the heat effect in the sunlight can be achieved, and the requirements of illumination reflection efficiency, cost, suitability for long-time field complex environment and the like can be preferably considered. In view of the above, a reflective heat insulating layer 700 structure in which an aluminum alloy thin film is used as the reflective layer 710 and heat insulating foam is used as the heat insulating layer 720 is more preferable.
Referring to fig. 7, the mounting seat 210 is installed in the mounting opening 121 through a screw assembly method, and a sealing ring 800 is disposed at a connection position of the mounting seat 210 and the mounting opening 121. The terminal box housing 120 and the environmental monitoring and data transceiving processing unit 200 can be fixed together by means of a screw assembly, and reliable sealing characteristics are provided by the sealing ring 800.
Referring to fig. 4 to 6, since the junction box 100 is used for protecting the joint of the optical fibers between two optical cables, and a section of optical fibers is reserved in the junction box for maintenance, in order to store and place the reserved section of optical fibers, an optical fiber storage tray 130 for storing a part of the optical fibers is arranged in the junction box housing 120.
The main controller 260 is an STM32 main controller 260, except that an STM32 chip can be used as the main controller 260, single-chip microcomputers such as MSP340, STM8 and STC15 can be used. In contrast, the STM32 single chip microcomputer is provided with an ARM-Cortex M series 32-bit kernel, and has high cost performance due to the adoption of an advanced instruction set, wide voltage (2-3.6V) and an internal bus structure. Therefore, the STM32 singlechip is preferably adopted as the master controller 260 in the embodiment of the application.
The inclination angle detection sensor 292 is a triaxial acceleration sensor, the light intensity sensor 293 is a digital light intensity sensor 293, a battery holder is welded and assembled on the main control electronics board 250, the rechargeable battery 600 is detachably mounted on the battery holder, and the rechargeable battery 600 is a rechargeable lithium battery.
The tilt angle sensor 292 may also be a biaxial acceleration sensor, but needs a special installation manner, that is, the biaxial acceleration sensor chip needs to be fixedly installed on the installation surface perpendicular to the main control electronics board 250.
More preferably, the temperature and humidity sensor 291 is SHT30, the tilt angle sensor 292 is ADXL345, the light intensity sensor 293 is BH1750, and the air pressure sensor 294 is BMP 180. These sensors can operate at ultra-low voltages and have current consumption as low as tens of microamperes during operation. Of course, as long as the requirements of low power consumption and the like can be satisfied, the temperature and humidity sensor 291, the inclination angle detection sensor 292, the light intensity sensor 293 and the air pressure sensor 294 may also be components of other types in the prior art.
In addition, in order to detect the electric quantity of the battery, a voltage sensor may be further provided, the voltage sensor is connected in parallel with the battery and is used for monitoring the voltage data of the battery in real time, then the measured voltage data is fed back to the main controller 260, and once the voltage data is lower than a preset threshold value in the main controller 260, the main controller 260 charges the battery by regulating and controlling the energy recovery conversion module 500. The principle is that the electric quantity of the battery is reversely deduced by measuring the voltage of the battery, so that the electric quantity of the battery is monitored in real time.
The energy recovery conversion module 500 may be an integrated circuit or a component, including but not limited to the model BQ25504, as long as the functions of converting light energy into electric energy with specified electrical parameters and charging a battery can be achieved.
Referring to fig. 4 to 13, in the embodiment of the present application, the environment monitoring and data transceiving processing unit 200 is used to monitor the state of the cable junction box 100 in real time, and the monitored information of the temperature, humidity, air pressure, light intensity, the inclination angle of the junction box 100, battery level, and the like of the junction box 100 is uploaded to the cloud server through low power consumption wireless communication technologies such as NB-IOT, LoRa, and the like; meanwhile, the environment monitoring and data transceiving processing unit 200 also has an autonomous fault detection capability, and once a fault or risk early warning is detected, the environment monitoring and data transceiving processing unit will immediately report to the cloud server. The positioning system formed by the positioning module antenna 230, the positioning module 280 and the main controller 260 feeds back the position of the junction box 100 to the cloud server, so that the updating work of the position database of the junction box 100 is greatly simplified, and meanwhile, an efficient and reliable searching and detecting mode is provided for the maintenance of workers. The spherical cover 300 is internally packaged with a small photovoltaic energy recovery system, a positioning module antenna 230 and an NB-IOT wireless communication module antenna, and adopts a high and low temperature resistant design, so that the junction box 100 can stably work in the field environment for a long time.
The beneficial effect that this application embodiment gained is that, the cover body 300 that adopts organic glass to make has spherical appearance characteristic, makes its surface be difficult for accumulating the dust, can provide good logical light window in order to ensure photovoltaic power generation ability, and can high-efficiently protect environmental monitoring and data receiving and dispatching processing unit 200, simultaneously, NB-IOT antenna and orientation module antenna 230 can have vast radio frequency communication transmission angle, improve communication efficiency, reduce the energy consumption, and protect it to avoid the influence of weather conditions such as wind and rain. The reflective thermal insulation layer 700 can reduce the absorption of the environmental monitoring and data transceiving processing unit 200 to the light and heat, and simultaneously has a good light shielding effect on the inside of the junction box 100. Temperature and humidity sensor 291, baroceptor 294 can monitor inside humiture, the atmospheric pressure state of terminal box 100 to independently judge terminal box 100 running condition according to the data that record, simultaneously, carry out the risk early warning in advance according to data change rule, and in time awaken up master controller 260 when numerical value surpasss the alert value, then upload alarm information to the cloud server via master controller 260 initiative. The triaxial acceleration sensor can effectively detect the posture of the junction box 100, and when the junction box 100 has an event such as an overlarge inclination angle, an overturn event and the like, the main controller 260 is awakened in time, and alarm information is actively uploaded through the main controller 260. The digital light intensity sensor 293 can detect weak light intensity inside the junction box 100 and timely determine light leakage fault. The energy recovery conversion module 500 has an extremely low conversion voltage, so that it can efficiently recover the electric energy converted by the photovoltaic panel 240, and can continuously generate the electric energy even in continuous rainy days. STM32 master controller 260 and power consumption control switch can reduce master control electronics board 250 energy consumption by a wide margin, prolongs rechargeable lithium cell electric energy holding time. The NB-IOT module realizes data interaction with the cloud server, and collection of alarm information and early warning information by the characteristics of ultra-low power consumption and ultra-low cost. The positioning module 280 can feed back time and position information of the junction box 100 in real time, so that the maintenance personnel can conveniently position the specific position of the faulty junction box 100, and the time cost for troubleshooting of the maintenance personnel is reduced.
The temperature and humidity sensor 291, the air pressure sensor 294, the light intensity sensor 293 and the three-axis acceleration sensor all adopt ultra-low power consumption chips, and the STM32 master controller 260 collects temperature and humidity, air pressure and light intensity data respectively through the temperature and humidity sensor 291, the air pressure sensor 294 and the light intensity sensor 293, can autonomously judge the internal working condition and the sealing property of the junction box 100, and can actively send risk early warning or fault warning to a cloud server. The risk early warning or fault warning comprises risk early warning or fault warning of high temperature, humidity, light intensity and air pressure.
And the triaxial acceleration sensor is used for monitoring the posture of the optical cable connector box for the tower and sending out an early warning or alarm signal to the cloud server according to the inclination angle data. Specifically, in this embodiment, only the warning signal judgment threshold is set, and after the master controller 260 is awakened, the master controller 260 further judges whether the triggered event is a warning signal or an alarm signal.
The adopted temperature and humidity sensor 291, the air pressure sensor 294, the light intensity sensor 293 and the triaxial acceleration sensor all have the function of autonomously monitoring the alarm threshold, the monitoring capability of the working state of the junction box 100 can be kept when the main controller 260 is dormant, and the corresponding alarm thresholds are respectively written into the sensors after the system runs. Taking the main controller 260 as an STN32 example, configuring a pin connected to a sensor alarm pulse pin on the STM32 as an external interrupt input pin, so that the STM32 has a characteristic of being awakened by external interrupt input, and therefore, even if the STM32 main controller 260 is still awakened in time under the condition that corresponding data reaches an alarm threshold value in a standby state, the autonomous perception of the working condition of the junction box 100 is further performed. The autonomous perception includes: the method comprises the steps of collecting data of each sensor, carrying out fault analysis according to the collected data, storing local log information, generating early warning or alarm events and reporting to a cloud server in time. The autonomous perception here is the function that components and parts such as main controller 260STM32 and each sensor just realized with the cooperation jointly, because the power consumption of main controller 260 is big partially, the operation can consume more electric energy always, therefore, through setting up two kinds of running states for main controller 260, and main controller 260 is in dormant state for the most part of time, under dormant state, the monitoring to external environment will be realized by the sensor that power consumption is a lot of less, only just awaken up main controller 260 at risk early warning or alarm time, but final information judgement still is carried out by main controller 260STM32, in order to prevent the erroneous judgement, thereby reduce the energy consumption, in time when the early warning, the erroneous judgement rate of alert condition can also further be reduced.
As shown in fig. 13, the energy recovery and power supply circuit in the figure, that is, the energy recovery and conversion module 500, is respectively connected to the main controller, the sensor module and other components on the main control electronic board, so as to provide electric energy for normal operation of each component or module. In the figure, the antenna 1 is the LPWAN communication antenna, and the antenna 2 is the positioning module antenna.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that those skilled in the art can make various improvements and modifications without departing from the principle of the present invention, and these improvements and modifications should also be construed as the protection scope of the present invention. Structures, devices, and methods of operation not specifically described or illustrated herein are generally practiced in the art without specific recitation or limitation.

Claims (10)

1. An environmental information processing and early warning method is characterized in that: applied to a computing device in a junction box, the method comprises the following steps:
detecting whether trigger information exists; the trigger information includes one or both of first trigger information, second trigger information, the first trigger information being a first interrupt signal issued by a timer internal to the computing device, the first interrupt signal is sent by a timer according to a preset time interval, the second trigger information is a second interrupt signal sent by a detection unit in the optical fiber junction box, the detection unit is used for collecting working state data of the junction box, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state, the second interrupt signal is sent out by the detection unit after the target data reaches the risk early warning parameter in the detection unit; the target data is any one of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state;
if the trigger information exists, acquiring the working state data of the junction box acquired by the detection unit;
analyzing and processing the working state data of the junction box to judge whether a risk early warning event and/or a fault warning event exist or not;
if the risk early warning event and/or the fault alarm event exist, sending a warning data packet to a server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions.
2. The environmental information processing and warning method of claim 1, wherein: further comprising:
after the server sends the check information, acquiring the check information and judging whether the check information is the correct receiving confirmation information;
if the verification information is judged to be the correct receiving confirmation information, judging whether an updating instruction and an updating parameter exist in the correct receiving confirmation information; the updating instruction is used for controlling the computing equipment to update the updating parameters into the detection unit;
if the update instruction and the update parameter exist in the received correct confirmation information, updating the update parameter into the detection unit according to the update instruction;
wherein the update parameters comprise one or more of a sealing threshold parameter, a tilt angle threshold parameter, a temperature threshold parameter, a humidity threshold parameter, a light intensity threshold parameter, a power supply electric quantity threshold parameter, and an accumulated operation time threshold parameter.
3. The environmental information processing and early warning method according to claim 1 or 2, wherein: the working state data of the junction box comprises temperature data and pressure data, and the current temperature data is recorded as T2Current pressure data is noted as P2The method for analyzing and processing the working state data of the junction box comprises the following steps:
firstly according to the formula
Figure FDA0002734458130000011
Calculating the variation delta eta, P of the ratio of pressure to temperature1、T1Respectively representing pressure data and temperature data of the junction box when the junction box is installed;
then, it is judged whether or not Δ η exceeds η2And/or eta1Wherein η2<η1
If eta2<Δη<η1Then calculate the cumulative occurrence η2<Δη<η1Number of events of (d) tSeal early warningAnd when t isSeal early warning>t2If so, the air tightness deterioration early warning event exists, and the conclusion is stored in a warning data packet;
if Δ η > η1Then, the cumulative occurrence of Δ η > η is calculated1Number of events of (d) tSealing alarmAnd when t isSealing alarm>t1If so, the air tightness fault alarm event exists, and the conclusion is stored in an alarm data packet;
wherein the risk early warning parameters comprise eta2、η1、t2Said fault alarm parameter comprises eta1、t1
4. The environmental information processing and early warning method according to claim 1 or 2, wherein: the working state data of the junction box comprises inclination angle data, the inclination angle is an included angle between the junction box and the gravity direction of the junction box and is marked as theta, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether theta exceeds theta1And/or theta2Wherein theta1<θ2
If theta1<θ<θ2If so, the result is that the inclination early warning event exists, and the result is stored in an alarm data packet; wherein, theta1An early warning lower limit threshold value of the inclination angle of the junction box;
if theta > theta2If yes, the conclusion is that the tilt alarm event exists, and the conclusion is stored in an alarm data packet; wherein, theta2An early warning lower limit threshold value of the inclination angle of the junction box;
wherein the risk early warning parameters comprise theta1The fault alarm parameters include theta2
5. The environmental information processing and early warning method according to claim 1 or 2, wherein: the working state data of the junction box comprises temperature data, the temperature data is recorded as T, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether T exceeds Tmax1And/or Tmax2Wherein, Tmax1<Tmax2
If Tmax1<T<Tmax2Then calculate the cumulative occurrence of Tmax1<T<Tmax2Judging whether the accumulated time reaches H hours or not, if so, obtaining a conclusion that high-temperature risk early warning exists, and storing the conclusion into a warning data packet; wherein, Tmax1An early warning lower threshold for temperature;
if T > Tmax2If yes, a conclusion is obtained, a high-temperature fault alarm exists, and the conclusion is stored in an alarm data packet; it is composed ofIn, Tmax2An early warning upper limit threshold for temperature;
wherein the risk early warning parameters comprise Tmax1H, the fault alarm parameters comprise Tmax2、H。
6. The environmental information processing and early warning method according to claim 1 or 2, wherein: the working state data of the junction box comprises humidity data, the humidity data is recorded as RH, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether RH exceeds RHmax1And/or RHmax2Wherein RH ismax1<RHmax2
If RHmax1<RH<RHmax2Then calculate the cumulative occurrence of RHmax1<RH<RHmax2Judging whether the accumulated time reaches J hours or not, if so, obtaining a conclusion that high humidity risk early warning exists, and storing the conclusion into a warning data packet; wherein RH ismax1An early warning lower limit threshold for humidity;
if RH > RHmax2If yes, a conclusion is obtained that high-humidity fault alarm exists, and the conclusion is stored in an alarm data packet; wherein RH ismax2An early warning upper threshold for humidity;
wherein the risk early warning parameters comprise RHmax1J, fault alarm parameters including RHmax2、J。
7. The environmental information processing and early warning method according to claim 1 or 2, wherein: includes at least one of the following features A to C:
the method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether B exceeds BLIf so, a conclusion is obtained that a light leakage alarm event exists, and the conclusion is stored in an alarm data packet;
wherein the fault alarm parameters includeBL
The method for analyzing and processing the working state data of the junction box comprises the following steps:
judging whether the output voltage of the power supply in the uncharged state is reduced for D days continuously, if so, obtaining a conclusion that an energy recovery circuit risk early warning event exists, and storing the conclusion into an alarm data packet; wherein D is a threshold value of continuous descending days of the output voltage of the power supply in the uncharged state;
judging whether the output voltage attenuation of the power supply at night is greater than delta Vdis-chrgIf yes, the conclusion is that an electric quantity attenuation risk early warning event exists, and the conclusion is stored in a warning data packet; wherein, is Δ Vdis-chrgA threshold value of the output voltage attenuation amount of the power supply at night;
judging whether the output voltage of the power supply in the charging state is at the pre-charging time tpre-chrgInternal lower than the pre-charge voltage Vpre-chrgIf yes, the conclusion is that an alarm event that the battery is about to be damaged exists, and the conclusion is stored in an alarm data packet;
wherein, the risk early warning parameters comprise D and delta Vdis-chrgThe fault alarm parameter comprises tpre-chrg、Vpre-chrg
And C, the working state data of the junction box comprises current time data, the current time data is recorded as t, and the method for analyzing and processing the working state data of the junction box comprises the following steps:
firstly, according to the formula delta t ═ t-t0The cumulative operating time Δ t is calculated, t0The initial time for starting the operation of the junction box;
then judging whether delta t is larger than twork;tworkA threshold for accumulated run time;
if the judgment result shows that delta t is more than tworkIf so, the conclusion is that the accumulated running time risk early warning event exists, and the conclusion is stored in a warning data packet;
wherein, windThe risk pre-warning parameters comprise twork
8. A memory device having stored therein a plurality of instructions adapted to be executed by a processor to:
detecting whether trigger information exists; the trigger information includes one or both of first trigger information, second trigger information, the first trigger information being a first interrupt signal issued by a timer internal to the computing device, the first interrupt signal is sent by a timer according to a preset time interval, the second trigger information is a second interrupt signal sent by a detection unit in the optical fiber junction box, the detection unit is used for collecting working state data of the junction box, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state, the second interrupt signal is sent out by the detection unit after the target data reaches the risk early warning parameter in the detection unit; the target data is any one of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state;
if the trigger information exists, acquiring the working state data of the junction box acquired by the detection unit;
analyzing and processing the working state data of the junction box to judge whether a risk early warning event and/or a fault warning event exist or not;
if the risk early warning event and/or the fault alarm event exist, sending a warning data packet to a server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions.
9. A computing device mounted within a junction box, comprising:
a processor for executing instructions; and
a storage device storing a plurality of instructions adapted to be executed by a processor to:
detecting whether trigger information exists; the trigger information includes one or both of first trigger information, second trigger information, the first trigger information being a first interrupt signal issued by a timer internal to the computing device, the first interrupt signal is sent by a timer according to a preset time interval, the second trigger information is a second interrupt signal sent by a detection unit in the optical fiber junction box, the detection unit is used for collecting working state data of the junction box, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state, the second interrupt signal is sent out by the detection unit after the target data reaches the risk early warning parameter in the detection unit; the target data is any one of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, output voltage of the power supply in a non-charging state and output voltage of the power supply in a charging state;
if the trigger information exists, acquiring the working state data of the junction box acquired by the detection unit;
analyzing and processing the working state data of the junction box to judge whether a risk early warning event and/or a fault warning event exist or not;
if the risk early warning event and/or the fault alarm event exist, sending a warning data packet to a server; the warning data packet comprises working state data of the junction box, risk early warning parameters and/or fault warning parameters, risk early warning conclusions and/or fault warning conclusions.
10. The utility model provides an optic fibre terminal box intelligence fault early warning system for tower based on thing networking which characterized in that includes:
the computing device of claim 9, mounted within a box of a fiber optic junction box;
the detection unit is connected with the computing equipment and used for acquiring working state data of the junction box and sending the working state data to the computing equipment, the working state data comprises one or more of temperature data, humidity data, air pressure data, light intensity data, inclination angle data of the junction box, position data, current time data, voltage data of a power supply in an uncharged state and voltage data of the voltage in a charged state, and the detection unit comprises one or more of a temperature and humidity sensor, an inclination angle detection sensor, a light intensity sensor, an air pressure sensor, a positioning device and a power supply state monitoring circuit; the positioning device is in communication connection with a satellite positioning system, wherein the satellite positioning system comprises one or more of a GPS (global positioning system), a Beidou satellite positioning system and a GLONASS (global navigation satellite system) satellite positioning system;
the server is in communication connection with the computing equipment through the LPWAN network communication technology and is used for at least receiving and processing the warning data packet sent by the computing equipment and sending confirmation information to the computing equipment after the warning data packet is received, wherein the confirmation information is correct confirmation information, and the LPWAN network communication technology at least comprises one or two of NB-IOT network communication technology and LoRa network communication technology.
CN202011135162.8A 2020-10-21 2020-10-21 Environmental information processing and early warning method Pending CN112325930A (en)

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CN113340339A (en) * 2021-04-26 2021-09-03 江苏海天微电子股份有限公司 Intelligent detection early warning system for solar cell module junction box
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